mirror of
https://github.com/bspeice/kiva-dig
synced 2024-12-04 20:58:09 -05:00
dbb8843c02
Differences with “Default Prediction” - Added “extract_tags” UDF - Just did train test split for now - Prediction using svm
3727 lines
149 KiB
Plaintext
3727 lines
149 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"from pyspark.sql import SQLContext\n",
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"\n",
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"LOCAL_PATH = 'file:///Users/Karl-Loic/Documents/Columbia-University/Fall-2016/Big-Data-Analytics/final-project/kiva-dig/'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"sql_ctx = SQLContext(sc)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# TODO: Create permanent database tables for reuse\n",
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"# Remove previously created metastore DB\n",
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"import os, shutil\n",
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"\n",
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"if os.path.exists(LOCAL_PATH + 'metastore_db/'):\n",
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" shutil.rmtree('metastore_db/')\n",
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"loans = sql_ctx.read.json(LOCAL_PATH + 'kiva-data/loans.json')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"1014130"
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||
]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"loans.count()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"root\n",
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" |-- activity: string (nullable = true)\n",
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" |-- basket_amount: long (nullable = true)\n",
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" |-- bonus_credit_eligibility: boolean (nullable = true)\n",
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" |-- borrowers: array (nullable = true)\n",
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" | |-- element: struct (containsNull = true)\n",
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" | | |-- first_name: string (nullable = true)\n",
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" | | |-- gender: string (nullable = true)\n",
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" | | |-- last_name: string (nullable = true)\n",
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" | | |-- pictured: boolean (nullable = true)\n",
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" |-- currency_exchange_loss_amount: double (nullable = true)\n",
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" |-- delinquent: boolean (nullable = true)\n",
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" |-- description: struct (nullable = true)\n",
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||
" | |-- languages: array (nullable = true)\n",
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||
" | | |-- element: string (containsNull = true)\n",
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||
" | |-- texts: struct (nullable = true)\n",
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" | | |-- ar: string (nullable = true)\n",
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" | | |-- en: string (nullable = true)\n",
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" | | |-- es: string (nullable = true)\n",
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||
" | | |-- fr: string (nullable = true)\n",
|
||
" | | |-- id: string (nullable = true)\n",
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||
" | | |-- mn: string (nullable = true)\n",
|
||
" | | |-- pt: string (nullable = true)\n",
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||
" | | |-- ru: string (nullable = true)\n",
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||
" | | |-- vi: string (nullable = true)\n",
|
||
" |-- funded_amount: long (nullable = true)\n",
|
||
" |-- funded_date: string (nullable = true)\n",
|
||
" |-- id: long (nullable = true)\n",
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||
" |-- image: struct (nullable = true)\n",
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||
" | |-- id: long (nullable = true)\n",
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" | |-- template_id: long (nullable = true)\n",
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" |-- journal_totals: struct (nullable = true)\n",
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" | |-- bulkEntries: long (nullable = true)\n",
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" | |-- entries: long (nullable = true)\n",
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" |-- lender_count: long (nullable = true)\n",
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" |-- loan_amount: long (nullable = true)\n",
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" |-- location: struct (nullable = true)\n",
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" | |-- country: string (nullable = true)\n",
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" | |-- country_code: string (nullable = true)\n",
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" | |-- geo: struct (nullable = true)\n",
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" | | |-- level: string (nullable = true)\n",
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" | | |-- pairs: string (nullable = true)\n",
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||
" | | |-- type: string (nullable = true)\n",
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||
" | |-- town: string (nullable = true)\n",
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" |-- name: string (nullable = true)\n",
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||
" |-- paid_amount: double (nullable = true)\n",
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||
" |-- paid_date: string (nullable = true)\n",
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||
" |-- partner_id: long (nullable = true)\n",
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" |-- payments: array (nullable = true)\n",
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" | |-- element: struct (containsNull = true)\n",
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" | | |-- amount: double (nullable = true)\n",
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" | | |-- currency_exchange_loss_amount: double (nullable = true)\n",
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" | | |-- local_amount: double (nullable = true)\n",
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||
" | | |-- payment_id: long (nullable = true)\n",
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||
" | | |-- processed_date: string (nullable = true)\n",
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" | | |-- rounded_local_amount: double (nullable = true)\n",
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||
" | | |-- settlement_date: string (nullable = true)\n",
|
||
" |-- planned_expiration_date: string (nullable = true)\n",
|
||
" |-- posted_date: string (nullable = true)\n",
|
||
" |-- sector: string (nullable = true)\n",
|
||
" |-- status: string (nullable = true)\n",
|
||
" |-- tags: array (nullable = true)\n",
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||
" | |-- element: struct (containsNull = true)\n",
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" | | |-- name: string (nullable = true)\n",
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||
" |-- terms: struct (nullable = true)\n",
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" | |-- disbursal_amount: double (nullable = true)\n",
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" | |-- disbursal_currency: string (nullable = true)\n",
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" | |-- disbursal_date: string (nullable = true)\n",
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" | |-- loan_amount: long (nullable = true)\n",
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" | |-- local_payments: array (nullable = true)\n",
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" | | |-- element: struct (containsNull = true)\n",
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||
" | | | |-- amount: double (nullable = true)\n",
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" | | | |-- due_date: string (nullable = true)\n",
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" | |-- loss_liability: struct (nullable = true)\n",
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" | | |-- currency_exchange: string (nullable = true)\n",
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" | | |-- currency_exchange_coverage_rate: double (nullable = true)\n",
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" | | |-- nonpayment: string (nullable = true)\n",
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||
" | |-- repayment_interval: string (nullable = true)\n",
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" | |-- repayment_term: long (nullable = true)\n",
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" | |-- scheduled_payments: array (nullable = true)\n",
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" | | |-- element: struct (containsNull = true)\n",
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" | | | |-- amount: double (nullable = true)\n",
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" | | | |-- due_date: string (nullable = true)\n",
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||
" |-- themes: array (nullable = true)\n",
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||
" | |-- element: string (containsNull = true)\n",
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||
" |-- translator: struct (nullable = true)\n",
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||
" | |-- byline: string (nullable = true)\n",
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||
" | |-- image: long (nullable = true)\n",
|
||
" |-- use: string (nullable = true)\n",
|
||
" |-- video: struct (nullable = true)\n",
|
||
" | |-- id: long (nullable = true)\n",
|
||
" | |-- thumbnailImageId: long (nullable = true)\n",
|
||
" | |-- title: string (nullable = true)\n",
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||
" | |-- youtubeId: string (nullable = true)\n",
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"\n"
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]
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}
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],
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"source": [
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"loans.printSchema()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {
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"collapsed": false
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||
},
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"outputs": [
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||
{
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"data": {
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"text/plain": [
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||
"[Row(activity=u'Clothing Sales', basket_amount=None, num_borrowers=1, male_proportion(borrowers)=u'0.0', disbursal_date=None, use=u'Compra de ropa dama, caballero y ni\\xf1o.', tags=[], status=u'deleted', delinquent=None),\n",
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||
" Row(activity=u'Food Production/Sales', basket_amount=None, num_borrowers=1, male_proportion(borrowers)=u'0.0', disbursal_date=u'2007-03-15T04:52:22Z', use=u'Working capital', tags=[], status=u'paid', delinquent=None),\n",
|
||
" Row(activity=u'Food Production/Sales', basket_amount=None, num_borrowers=1, male_proportion(borrowers)=u'0.0', disbursal_date=u'2007-05-17T22:02:42Z', use=u'Sell bread at the local market', tags=[], status=u'paid', delinquent=None),\n",
|
||
" Row(activity=u'Clothing Sales', basket_amount=None, num_borrowers=1, male_proportion(borrowers)=u'0.0', disbursal_date=u'2007-07-20T16:35:52Z', use=u'To buy more clothes and baby things for sale', tags=[], status=u'paid', delinquent=None),\n",
|
||
" Row(activity=u'Livestock', basket_amount=None, num_borrowers=1, male_proportion(borrowers)=u'0.0', disbursal_date=u'2007-09-20T02:55:18Z', use=u'Lohoure Odio will use the loan to purchase pigs for meat sales', tags=[], status=u'paid', delinquent=None),\n",
|
||
" Row(activity=u'Construction', basket_amount=None, num_borrowers=1, male_proportion(borrowers)=u'0.0', disbursal_date=u'2007-11-02T23:38:36Z', use=u'buy a welding machine', tags=[], status=u'paid', delinquent=None),\n",
|
||
" Row(activity=u'Cereals', basket_amount=None, num_borrowers=1, male_proportion(borrowers)=u'0.0', disbursal_date=u'2007-12-13T18:22:55Z', use=u'To buy rice for resale', tags=[], status=u'paid', delinquent=None),\n",
|
||
" Row(activity=u'Taxi', basket_amount=None, num_borrowers=1, male_proportion(borrowers)=u'1.0', disbursal_date=u'2008-01-11T20:44:52Z', use=u'Taxi repairs and repainting', tags=[], status=u'paid', delinquent=None),\n",
|
||
" Row(activity=u'Used Clothing', basket_amount=None, num_borrowers=4, male_proportion(borrowers)=u'0.0', disbursal_date=u'2008-04-19T14:11:32Z', use=u'to invest in their businesses', tags=[], status=u'paid', delinquent=None),\n",
|
||
" Row(activity=u'Home Products Sales', basket_amount=None, num_borrowers=1, male_proportion(borrowers)=u'0.0', disbursal_date=u'2008-03-10T22:53:27Z', use=u'Edith needs a loan of 1000 soles (3 soles = $1), which she will use to buy more kitchen appliances.', tags=[], status=u'paid', delinquent=None)]"
|
||
]
|
||
},
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"loans.registerTempTable(\"loans\")\n",
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"\n",
|
||
"def male_proportion(borrowers):\n",
|
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" num_males = 0\n",
|
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" for item in borrowers:\n",
|
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" if item.gender == 'M':\n",
|
||
" num_males += 1\n",
|
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" \n",
|
||
" return num_males/ float(len(borrowers))\n",
|
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"\n",
|
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"sql_ctx.registerFunction('male_proportion', male_proportion)\n",
|
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"\n",
|
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"bad_loans = sql_ctx.sql(\"\"\"\n",
|
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"SELECT \n",
|
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" activity, \n",
|
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" basket_amount,\n",
|
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" size(borrowers) as num_borrowers,\n",
|
||
" male_proportion(borrowers),\n",
|
||
" terms.disbursal_date,\n",
|
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" \n",
|
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" use,\n",
|
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" tags,\n",
|
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" status,\n",
|
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" delinquent\n",
|
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"FROM loans\n",
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"LIMIT 10\n",
|
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"\"\"\")\n",
|
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"\n",
|
||
"bad_loans.collect()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 36,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"[Row(status=u'refunded', count(1)=5504),\n",
|
||
" Row(status=u'defaulted', count(1)=21776),\n",
|
||
" Row(status=u'in_repayment', count(1)=155748),\n",
|
||
" Row(status=u'reviewed', count(1)=3),\n",
|
||
" Row(status=u'deleted', count(1)=2722),\n",
|
||
" Row(status=u'paid', count(1)=775330),\n",
|
||
" Row(status=u'issue', count(1)=199),\n",
|
||
" Row(status=u'inactive_expired', count(1)=12421),\n",
|
||
" Row(status=u'fundraising', count(1)=3986),\n",
|
||
" Row(status=u'expired', count(1)=33773)]"
|
||
]
|
||
},
|
||
"execution_count": 36,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
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}
|
||
],
|
||
"source": [
|
||
"sql_ctx.sql(\"\"\"\n",
|
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"SELECT\n",
|
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" status,\n",
|
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" COUNT(*)\n",
|
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"FROM loans\n",
|
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"GROUP BY status\n",
|
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"LIMIT 10\n",
|
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"\"\"\").collect()"
|
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]
|
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},
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{
|
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"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
" "
|
||
]
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},
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||
{
|
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"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
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"# Starts Here - GDP"
|
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]
|
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},
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{
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"cell_type": "markdown",
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"metadata": {},
|
||
"source": [
|
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"### Datasets sources\n",
|
||
"1. Country codes - https://github.com/datasets/country-codes/tree/master/data\n",
|
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"2. GDP Data - http://data.worldbank.org/indicator/NY.GDP.MKTP.CD"
|
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]
|
||
},
|
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{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {
|
||
"collapsed": true
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"from datetime import datetime\n",
|
||
"import numpy as np\n",
|
||
"import math\n",
|
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"\n",
|
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"\n",
|
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"# Load country info data\n",
|
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"country_codes_raw = pd.read_csv(LOCAL_PATH + 'economic-data/country-codes.csv')\n",
|
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"country_gdp_raw = pd.read_csv(LOCAL_PATH + 'economic-data/country-gdp.csv')"
|
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]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>name</th>\n",
|
||
" <th>official_name_en</th>\n",
|
||
" <th>official_name_fr</th>\n",
|
||
" <th>ISO3166-1-Alpha-2</th>\n",
|
||
" <th>ISO3166-1-Alpha-3</th>\n",
|
||
" <th>ISO3166-1-numeric</th>\n",
|
||
" <th>ITU</th>\n",
|
||
" <th>MARC</th>\n",
|
||
" <th>WMO</th>\n",
|
||
" <th>DS</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>ISO4217-currency_minor_unit</th>\n",
|
||
" <th>ISO4217-currency_name</th>\n",
|
||
" <th>ISO4217-currency_numeric_code</th>\n",
|
||
" <th>is_independent</th>\n",
|
||
" <th>Capital</th>\n",
|
||
" <th>Continent</th>\n",
|
||
" <th>TLD</th>\n",
|
||
" <th>Languages</th>\n",
|
||
" <th>geonameid</th>\n",
|
||
" <th>EDGAR</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Channel Islands</td>\n",
|
||
" <td>Îles Anglo-Normandes</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>830</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Sark</td>\n",
|
||
" <td>Sercq</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>680</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Afghanistan</td>\n",
|
||
" <td>Afghanistan</td>\n",
|
||
" <td>Afghanistan</td>\n",
|
||
" <td>AF</td>\n",
|
||
" <td>AFG</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>AFG</td>\n",
|
||
" <td>af</td>\n",
|
||
" <td>AF</td>\n",
|
||
" <td>AFG</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>2.0</td>\n",
|
||
" <td>Afghani</td>\n",
|
||
" <td>971.0</td>\n",
|
||
" <td>Yes</td>\n",
|
||
" <td>Kabul</td>\n",
|
||
" <td>AS</td>\n",
|
||
" <td>.af</td>\n",
|
||
" <td>fa-AF,ps,uz-AF,tk</td>\n",
|
||
" <td>1149361.0</td>\n",
|
||
" <td>B2</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>Albania</td>\n",
|
||
" <td>Albania</td>\n",
|
||
" <td>Albanie</td>\n",
|
||
" <td>AL</td>\n",
|
||
" <td>ALB</td>\n",
|
||
" <td>8</td>\n",
|
||
" <td>ALB</td>\n",
|
||
" <td>aa</td>\n",
|
||
" <td>AB</td>\n",
|
||
" <td>AL</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>2.0</td>\n",
|
||
" <td>Lek</td>\n",
|
||
" <td>8.0</td>\n",
|
||
" <td>Yes</td>\n",
|
||
" <td>Tirana</td>\n",
|
||
" <td>EU</td>\n",
|
||
" <td>.al</td>\n",
|
||
" <td>sq,el</td>\n",
|
||
" <td>783754.0</td>\n",
|
||
" <td>B3</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Algeria</td>\n",
|
||
" <td>Algeria</td>\n",
|
||
" <td>Algérie</td>\n",
|
||
" <td>DZ</td>\n",
|
||
" <td>DZA</td>\n",
|
||
" <td>12</td>\n",
|
||
" <td>ALG</td>\n",
|
||
" <td>ae</td>\n",
|
||
" <td>AL</td>\n",
|
||
" <td>DZ</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>2.0</td>\n",
|
||
" <td>Algerian Dinar</td>\n",
|
||
" <td>12.0</td>\n",
|
||
" <td>Yes</td>\n",
|
||
" <td>Algiers</td>\n",
|
||
" <td>AF</td>\n",
|
||
" <td>.dz</td>\n",
|
||
" <td>ar-DZ</td>\n",
|
||
" <td>2589581.0</td>\n",
|
||
" <td>B4</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>5 rows × 27 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" name official_name_en official_name_fr ISO3166-1-Alpha-2 \\\n",
|
||
"0 NaN Channel Islands Îles Anglo-Normandes NaN \n",
|
||
"1 NaN Sark Sercq NaN \n",
|
||
"2 Afghanistan Afghanistan Afghanistan AF \n",
|
||
"3 Albania Albania Albanie AL \n",
|
||
"4 Algeria Algeria Algérie DZ \n",
|
||
"\n",
|
||
" ISO3166-1-Alpha-3 ISO3166-1-numeric ITU MARC WMO DS ... \\\n",
|
||
"0 NaN 830 NaN NaN NaN NaN ... \n",
|
||
"1 NaN 680 NaN NaN NaN NaN ... \n",
|
||
"2 AFG 4 AFG af AF AFG ... \n",
|
||
"3 ALB 8 ALB aa AB AL ... \n",
|
||
"4 DZA 12 ALG ae AL DZ ... \n",
|
||
"\n",
|
||
" ISO4217-currency_minor_unit ISO4217-currency_name \\\n",
|
||
"0 NaN NaN \n",
|
||
"1 NaN NaN \n",
|
||
"2 2.0 Afghani \n",
|
||
"3 2.0 Lek \n",
|
||
"4 2.0 Algerian Dinar \n",
|
||
"\n",
|
||
" ISO4217-currency_numeric_code is_independent Capital Continent TLD \\\n",
|
||
"0 NaN NaN NaN NaN NaN \n",
|
||
"1 NaN NaN NaN NaN NaN \n",
|
||
"2 971.0 Yes Kabul AS .af \n",
|
||
"3 8.0 Yes Tirana EU .al \n",
|
||
"4 12.0 Yes Algiers AF .dz \n",
|
||
"\n",
|
||
" Languages geonameid EDGAR \n",
|
||
"0 NaN NaN NaN \n",
|
||
"1 NaN NaN NaN \n",
|
||
"2 fa-AF,ps,uz-AF,tk 1149361.0 B2 \n",
|
||
"3 sq,el 783754.0 B3 \n",
|
||
"4 ar-DZ 2589581.0 B4 \n",
|
||
"\n",
|
||
"[5 rows x 27 columns]"
|
||
]
|
||
},
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
"source": [
|
||
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|
||
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|
||
},
|
||
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|
||
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|
||
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|
||
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|
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||
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||
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|
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|
||
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|
||
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|
||
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|
||
" <th>Series Name</th>\n",
|
||
" <th>Series Code</th>\n",
|
||
" <th>Country Name</th>\n",
|
||
" <th>Country Code</th>\n",
|
||
" <th>2002 [YR2002]</th>\n",
|
||
" <th>2003 [YR2003]</th>\n",
|
||
" <th>2004 [YR2004]</th>\n",
|
||
" <th>2005 [YR2005]</th>\n",
|
||
" <th>2006 [YR2006]</th>\n",
|
||
" <th>2007 [YR2007]</th>\n",
|
||
" <th>2008 [YR2008]</th>\n",
|
||
" <th>2009 [YR2009]</th>\n",
|
||
" <th>2010 [YR2010]</th>\n",
|
||
" <th>2011 [YR2011]</th>\n",
|
||
" <th>2012 [YR2012]</th>\n",
|
||
" <th>2013 [YR2013]</th>\n",
|
||
" <th>2014 [YR2014]</th>\n",
|
||
" <th>2015 [YR2015]</th>\n",
|
||
" <th>2016 [YR2016]</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>GDP per capita (current US$)</td>\n",
|
||
" <td>NY.GDP.PCAP.CD</td>\n",
|
||
" <td>Afghanistan</td>\n",
|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
" <td>..</td>\n",
|
||
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|
||
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|
||
" <th>1</th>\n",
|
||
" <td>GDP per capita (current US$)</td>\n",
|
||
" <td>NY.GDP.PCAP.CD</td>\n",
|
||
" <td>Albania</td>\n",
|
||
" <td>ALB</td>\n",
|
||
" <td>1453.64277660853</td>\n",
|
||
" <td>1890.68155743544</td>\n",
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||
" <td>2416.5882350701</td>\n",
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
" <td>4588.64944014811</td>\n",
|
||
" <td>3965.01680558488</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>GDP per capita (current US$)</td>\n",
|
||
" <td>NY.GDP.PCAP.CD</td>\n",
|
||
" <td>Algeria</td>\n",
|
||
" <td>DZA</td>\n",
|
||
" <td>1774.29202079911</td>\n",
|
||
" <td>2094.89330213298</td>\n",
|
||
" <td>2600.00651972559</td>\n",
|
||
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||
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|
||
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|
||
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|
||
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|
||
" <td>4473.48644568115</td>\n",
|
||
" <td>5447.40397556569</td>\n",
|
||
" <td>5583.61615950131</td>\n",
|
||
" <td>5491.6144135648</td>\n",
|
||
" <td>5484.0668056148</td>\n",
|
||
" <td>4206.03123244958</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>GDP per capita (current US$)</td>\n",
|
||
" <td>NY.GDP.PCAP.CD</td>\n",
|
||
" <td>American Samoa</td>\n",
|
||
" <td>ASM</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>GDP per capita (current US$)</td>\n",
|
||
" <td>NY.GDP.PCAP.CD</td>\n",
|
||
" <td>Andorra</td>\n",
|
||
" <td>ADO</td>\n",
|
||
" <td>24175.3727542522</td>\n",
|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
],
|
||
"text/plain": [
|
||
" Series Name Series Code Country Name Country Code \\\n",
|
||
"0 GDP per capita (current US$) NY.GDP.PCAP.CD Afghanistan AFG \n",
|
||
"1 GDP per capita (current US$) NY.GDP.PCAP.CD Albania ALB \n",
|
||
"2 GDP per capita (current US$) NY.GDP.PCAP.CD Algeria DZA \n",
|
||
"3 GDP per capita (current US$) NY.GDP.PCAP.CD American Samoa ASM \n",
|
||
"4 GDP per capita (current US$) NY.GDP.PCAP.CD Andorra ADO \n",
|
||
"\n",
|
||
" 2002 [YR2002] 2003 [YR2003] 2004 [YR2004] 2005 [YR2005] \\\n",
|
||
"0 192.153528278789 203.651040923182 224.914712193371 257.175794656273 \n",
|
||
"1 1453.64277660853 1890.68155743544 2416.5882350701 2709.14293056201 \n",
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||
"2 1774.29202079911 2094.89330213298 2600.00651972559 3102.03738422673 \n",
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||
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|
||
"4 24175.3727542522 31742.9925847537 37235.4500323146 39990.3304085679 \n",
|
||
"\n",
|
||
" 2006 [YR2006] 2007 [YR2007] 2008 [YR2008] 2009 [YR2009] \\\n",
|
||
"0 280.245644106914 380.400955186598 384.131681276838 458.955781585831 \n",
|
||
"1 3005.0129033756 3603.01368536638 4370.53964653148 4114.13654490945 \n",
|
||
"2 3467.54474008596 3939.55993939808 4912.25194081995 3875.82209542426 \n",
|
||
"3 .. .. .. .. \n",
|
||
"4 42417.2291456984 47253.5297963111 46735.9995745016 42701.447136255 \n",
|
||
"\n",
|
||
" 2010 [YR2010] 2011 [YR2011] 2012 [YR2012] 2013 [YR2013] \\\n",
|
||
"0 569.940728793286 622.379654358451 690.842629014956 653.347488111011 \n",
|
||
"1 4094.35883191918 4437.8119990258 4247.83985201907 4412.34557813421 \n",
|
||
"2 4473.48644568115 5447.40397556569 5583.61615950131 5491.6144135648 \n",
|
||
"3 .. .. .. .. \n",
|
||
"4 39639.386021211 41630.0525792977 39666.3692147448 42806.5224483021 \n",
|
||
"\n",
|
||
" 2014 [YR2014] 2015 [YR2015] 2016 [YR2016] \n",
|
||
"0 633.947864294639 590.269515382605 .. \n",
|
||
"1 4588.64944014811 3965.01680558488 .. \n",
|
||
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|
||
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|
||
"4 .. .. .. "
|
||
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|
||
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|
||
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|
||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Channel Islands</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Sark</td>\n",
|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Afghanistan</td>\n",
|
||
" <td>AF</td>\n",
|
||
" <td>AFG</td>\n",
|
||
" <td>AFN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>Albania</td>\n",
|
||
" <td>AL</td>\n",
|
||
" <td>ALB</td>\n",
|
||
" <td>ALL</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Algeria</td>\n",
|
||
" <td>DZ</td>\n",
|
||
" <td>DZA</td>\n",
|
||
" <td>DZD</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>American Samoa</td>\n",
|
||
" <td>AS</td>\n",
|
||
" <td>ASM</td>\n",
|
||
" <td>USD</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>Andorra</td>\n",
|
||
" <td>AD</td>\n",
|
||
" <td>AND</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>Angola</td>\n",
|
||
" <td>AO</td>\n",
|
||
" <td>AGO</td>\n",
|
||
" <td>AOA</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>Anguilla</td>\n",
|
||
" <td>AI</td>\n",
|
||
" <td>AIA</td>\n",
|
||
" <td>XCD</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>AQ</td>\n",
|
||
" <td>ATA</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
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|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" official_name_en ISO3166-1-Alpha-2 ISO3166-1-Alpha-3 \\\n",
|
||
"0 Channel Islands NaN NaN \n",
|
||
"1 Sark NaN NaN \n",
|
||
"2 Afghanistan AF AFG \n",
|
||
"3 Albania AL ALB \n",
|
||
"4 Algeria DZ DZA \n",
|
||
"5 American Samoa AS ASM \n",
|
||
"6 Andorra AD AND \n",
|
||
"7 Angola AO AGO \n",
|
||
"8 Anguilla AI AIA \n",
|
||
"9 NaN AQ ATA \n",
|
||
"\n",
|
||
" ISO4217-currency_alphabetic_code \n",
|
||
"0 NaN \n",
|
||
"1 NaN \n",
|
||
"2 AFN \n",
|
||
"3 ALL \n",
|
||
"4 DZD \n",
|
||
"5 USD \n",
|
||
"6 EUR \n",
|
||
"7 AOA \n",
|
||
"8 XCD \n",
|
||
"9 NaN "
|
||
]
|
||
},
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Clean country codes data\n",
|
||
"country_codes = country_codes_raw[['official_name_en', 'ISO3166-1-Alpha-2', 'ISO3166-1-Alpha-3', 'ISO4217-currency_alphabetic_code']]\n",
|
||
"country_codes.head(10)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Clean gdp data\n",
|
||
"country_gdp = country_gdp_raw.drop(country_gdp_raw.columns[[0, 1]], axis=1)\n",
|
||
"country_gdp.columns = ['name', 'country_code_3', '2002', '2003', '2004', '2005', '2006',\n",
|
||
" '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016']"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>name</th>\n",
|
||
" <th>country_code_3</th>\n",
|
||
" <th>2002</th>\n",
|
||
" <th>2003</th>\n",
|
||
" <th>2004</th>\n",
|
||
" <th>2005</th>\n",
|
||
" <th>2006</th>\n",
|
||
" <th>2007</th>\n",
|
||
" <th>2008</th>\n",
|
||
" <th>2009</th>\n",
|
||
" <th>2010</th>\n",
|
||
" <th>2011</th>\n",
|
||
" <th>2012</th>\n",
|
||
" <th>2013</th>\n",
|
||
" <th>2014</th>\n",
|
||
" <th>2015</th>\n",
|
||
" <th>2016</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Afghanistan</td>\n",
|
||
" <td>AFG</td>\n",
|
||
" <td>192.153528278789</td>\n",
|
||
" <td>203.651040923182</td>\n",
|
||
" <td>224.914712193371</td>\n",
|
||
" <td>257.175794656273</td>\n",
|
||
" <td>280.245644106914</td>\n",
|
||
" <td>380.400955186598</td>\n",
|
||
" <td>384.131681276838</td>\n",
|
||
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|
||
" <td>569.940728793286</td>\n",
|
||
" <td>622.379654358451</td>\n",
|
||
" <td>690.842629014956</td>\n",
|
||
" <td>653.347488111011</td>\n",
|
||
" <td>633.947864294639</td>\n",
|
||
" <td>590.269515382605</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Albania</td>\n",
|
||
" <td>ALB</td>\n",
|
||
" <td>1453.64277660853</td>\n",
|
||
" <td>1890.68155743544</td>\n",
|
||
" <td>2416.5882350701</td>\n",
|
||
" <td>2709.14293056201</td>\n",
|
||
" <td>3005.0129033756</td>\n",
|
||
" <td>3603.01368536638</td>\n",
|
||
" <td>4370.53964653148</td>\n",
|
||
" <td>4114.13654490945</td>\n",
|
||
" <td>4094.35883191918</td>\n",
|
||
" <td>4437.8119990258</td>\n",
|
||
" <td>4247.83985201907</td>\n",
|
||
" <td>4412.34557813421</td>\n",
|
||
" <td>4588.64944014811</td>\n",
|
||
" <td>3965.01680558488</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Algeria</td>\n",
|
||
" <td>DZA</td>\n",
|
||
" <td>1774.29202079911</td>\n",
|
||
" <td>2094.89330213298</td>\n",
|
||
" <td>2600.00651972559</td>\n",
|
||
" <td>3102.03738422673</td>\n",
|
||
" <td>3467.54474008596</td>\n",
|
||
" <td>3939.55993939808</td>\n",
|
||
" <td>4912.25194081995</td>\n",
|
||
" <td>3875.82209542426</td>\n",
|
||
" <td>4473.48644568115</td>\n",
|
||
" <td>5447.40397556569</td>\n",
|
||
" <td>5583.61615950131</td>\n",
|
||
" <td>5491.6144135648</td>\n",
|
||
" <td>5484.0668056148</td>\n",
|
||
" <td>4206.03123244958</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>American Samoa</td>\n",
|
||
" <td>ASM</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Andorra</td>\n",
|
||
" <td>ADO</td>\n",
|
||
" <td>24175.3727542522</td>\n",
|
||
" <td>31742.9925847537</td>\n",
|
||
" <td>37235.4500323146</td>\n",
|
||
" <td>39990.3304085679</td>\n",
|
||
" <td>42417.2291456984</td>\n",
|
||
" <td>47253.5297963111</td>\n",
|
||
" <td>46735.9995745016</td>\n",
|
||
" <td>42701.447136255</td>\n",
|
||
" <td>39639.386021211</td>\n",
|
||
" <td>41630.0525792977</td>\n",
|
||
" <td>39666.3692147448</td>\n",
|
||
" <td>42806.5224483021</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" name country_code_3 2002 2003 \\\n",
|
||
"0 Afghanistan AFG 192.153528278789 203.651040923182 \n",
|
||
"1 Albania ALB 1453.64277660853 1890.68155743544 \n",
|
||
"2 Algeria DZA 1774.29202079911 2094.89330213298 \n",
|
||
"3 American Samoa ASM .. .. \n",
|
||
"4 Andorra ADO 24175.3727542522 31742.9925847537 \n",
|
||
"\n",
|
||
" 2004 2005 2006 2007 \\\n",
|
||
"0 224.914712193371 257.175794656273 280.245644106914 380.400955186598 \n",
|
||
"1 2416.5882350701 2709.14293056201 3005.0129033756 3603.01368536638 \n",
|
||
"2 2600.00651972559 3102.03738422673 3467.54474008596 3939.55993939808 \n",
|
||
"3 .. .. .. .. \n",
|
||
"4 37235.4500323146 39990.3304085679 42417.2291456984 47253.5297963111 \n",
|
||
"\n",
|
||
" 2008 2009 2010 2011 \\\n",
|
||
"0 384.131681276838 458.955781585831 569.940728793286 622.379654358451 \n",
|
||
"1 4370.53964653148 4114.13654490945 4094.35883191918 4437.8119990258 \n",
|
||
"2 4912.25194081995 3875.82209542426 4473.48644568115 5447.40397556569 \n",
|
||
"3 .. .. .. .. \n",
|
||
"4 46735.9995745016 42701.447136255 39639.386021211 41630.0525792977 \n",
|
||
"\n",
|
||
" 2012 2013 2014 2015 2016 \n",
|
||
"0 690.842629014956 653.347488111011 633.947864294639 590.269515382605 .. \n",
|
||
"1 4247.83985201907 4412.34557813421 4588.64944014811 3965.01680558488 .. \n",
|
||
"2 5583.61615950131 5491.6144135648 5484.0668056148 4206.03123244958 .. \n",
|
||
"3 .. .. .. .. .. \n",
|
||
"4 39666.3692147448 42806.5224483021 .. .. .. "
|
||
]
|
||
},
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"country_gdp.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>name</th>\n",
|
||
" <th>country_code</th>\n",
|
||
" <th>currency_code</th>\n",
|
||
" <th>2002</th>\n",
|
||
" <th>2003</th>\n",
|
||
" <th>2004</th>\n",
|
||
" <th>2005</th>\n",
|
||
" <th>2006</th>\n",
|
||
" <th>2007</th>\n",
|
||
" <th>2008</th>\n",
|
||
" <th>2009</th>\n",
|
||
" <th>2010</th>\n",
|
||
" <th>2011</th>\n",
|
||
" <th>2012</th>\n",
|
||
" <th>2013</th>\n",
|
||
" <th>2014</th>\n",
|
||
" <th>2015</th>\n",
|
||
" <th>2016</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Afghanistan</td>\n",
|
||
" <td>AF</td>\n",
|
||
" <td>AFN</td>\n",
|
||
" <td>192.153528278789</td>\n",
|
||
" <td>203.651040923182</td>\n",
|
||
" <td>224.914712193371</td>\n",
|
||
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|
||
" <td>280.245644106914</td>\n",
|
||
" <td>380.400955186598</td>\n",
|
||
" <td>384.131681276838</td>\n",
|
||
" <td>458.955781585831</td>\n",
|
||
" <td>569.940728793286</td>\n",
|
||
" <td>622.379654358451</td>\n",
|
||
" <td>690.842629014956</td>\n",
|
||
" <td>653.347488111011</td>\n",
|
||
" <td>633.947864294639</td>\n",
|
||
" <td>590.269515382605</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Albania</td>\n",
|
||
" <td>AL</td>\n",
|
||
" <td>ALL</td>\n",
|
||
" <td>1453.64277660853</td>\n",
|
||
" <td>1890.68155743544</td>\n",
|
||
" <td>2416.5882350701</td>\n",
|
||
" <td>2709.14293056201</td>\n",
|
||
" <td>3005.0129033756</td>\n",
|
||
" <td>3603.01368536638</td>\n",
|
||
" <td>4370.53964653148</td>\n",
|
||
" <td>4114.13654490945</td>\n",
|
||
" <td>4094.35883191918</td>\n",
|
||
" <td>4437.8119990258</td>\n",
|
||
" <td>4247.83985201907</td>\n",
|
||
" <td>4412.34557813421</td>\n",
|
||
" <td>4588.64944014811</td>\n",
|
||
" <td>3965.01680558488</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Algeria</td>\n",
|
||
" <td>DZ</td>\n",
|
||
" <td>DZD</td>\n",
|
||
" <td>1774.29202079911</td>\n",
|
||
" <td>2094.89330213298</td>\n",
|
||
" <td>2600.00651972559</td>\n",
|
||
" <td>3102.03738422673</td>\n",
|
||
" <td>3467.54474008596</td>\n",
|
||
" <td>3939.55993939808</td>\n",
|
||
" <td>4912.25194081995</td>\n",
|
||
" <td>3875.82209542426</td>\n",
|
||
" <td>4473.48644568115</td>\n",
|
||
" <td>5447.40397556569</td>\n",
|
||
" <td>5583.61615950131</td>\n",
|
||
" <td>5491.6144135648</td>\n",
|
||
" <td>5484.0668056148</td>\n",
|
||
" <td>4206.03123244958</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>American Samoa</td>\n",
|
||
" <td>AS</td>\n",
|
||
" <td>USD</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Andorra</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>24175.3727542522</td>\n",
|
||
" <td>31742.9925847537</td>\n",
|
||
" <td>37235.4500323146</td>\n",
|
||
" <td>39990.3304085679</td>\n",
|
||
" <td>42417.2291456984</td>\n",
|
||
" <td>47253.5297963111</td>\n",
|
||
" <td>46735.9995745016</td>\n",
|
||
" <td>42701.447136255</td>\n",
|
||
" <td>39639.386021211</td>\n",
|
||
" <td>41630.0525792977</td>\n",
|
||
" <td>39666.3692147448</td>\n",
|
||
" <td>42806.5224483021</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>Angola</td>\n",
|
||
" <td>AO</td>\n",
|
||
" <td>AOA</td>\n",
|
||
" <td>775.765518459716</td>\n",
|
||
" <td>850.075694129697</td>\n",
|
||
" <td>1135.60456355085</td>\n",
|
||
" <td>1576.16280066689</td>\n",
|
||
" <td>2253.83885003865</td>\n",
|
||
" <td>3151.02243105289</td>\n",
|
||
" <td>4242.36306234092</td>\n",
|
||
" <td>3678.94765447179</td>\n",
|
||
" <td>3886.47935432524</td>\n",
|
||
" <td>4744.98762949589</td>\n",
|
||
" <td>5086.8484258086</td>\n",
|
||
" <td>5327.14889219232</td>\n",
|
||
" <td>5232.69050054132</td>\n",
|
||
" <td>4102.11858969272</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>Antigua and Barbuda</td>\n",
|
||
" <td>AG</td>\n",
|
||
" <td>XCD</td>\n",
|
||
" <td>10027.8562205839</td>\n",
|
||
" <td>10382.6309004545</td>\n",
|
||
" <td>10993.3692472668</td>\n",
|
||
" <td>12079.8656950416</td>\n",
|
||
" <td>13599.908857304</td>\n",
|
||
" <td>15276.0682646698</td>\n",
|
||
" <td>15786.1728395062</td>\n",
|
||
" <td>13979.2626925883</td>\n",
|
||
" <td>13017.3103875487</td>\n",
|
||
" <td>12817.8415733094</td>\n",
|
||
" <td>13525.616220134</td>\n",
|
||
" <td>13342.0849977054</td>\n",
|
||
" <td>13432.0792079208</td>\n",
|
||
" <td>14128.8785463675</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>Argentina</td>\n",
|
||
" <td>AR</td>\n",
|
||
" <td>ARS</td>\n",
|
||
" <td>2579.18819898884</td>\n",
|
||
" <td>3330.42866006847</td>\n",
|
||
" <td>4251.5653466058</td>\n",
|
||
" <td>5096.25833247505</td>\n",
|
||
" <td>5904.67813228342</td>\n",
|
||
" <td>7226.27029452745</td>\n",
|
||
" <td>8992.58961919674</td>\n",
|
||
" <td>8198.56611136286</td>\n",
|
||
" <td>10332.0323662966</td>\n",
|
||
" <td>12800.2018563295</td>\n",
|
||
" <td>13040.306395228</td>\n",
|
||
" <td>13027.2048221392</td>\n",
|
||
" <td>12324.9387857728</td>\n",
|
||
" <td>13431.8783398577</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>Armenia</td>\n",
|
||
" <td>AM</td>\n",
|
||
" <td>AMD</td>\n",
|
||
" <td>779.829626131555</td>\n",
|
||
" <td>924.464009817761</td>\n",
|
||
" <td>1181.9684454224</td>\n",
|
||
" <td>1625.40776912682</td>\n",
|
||
" <td>2126.61866107184</td>\n",
|
||
" <td>3080.97095943572</td>\n",
|
||
" <td>3919.97547381061</td>\n",
|
||
" <td>2915.5839059087</td>\n",
|
||
" <td>3124.78401786195</td>\n",
|
||
" <td>3417.17183599915</td>\n",
|
||
" <td>3565.5175749254</td>\n",
|
||
" <td>3716.82892254464</td>\n",
|
||
" <td>3873.53356580682</td>\n",
|
||
" <td>3499.80421759862</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>Aruba</td>\n",
|
||
" <td>AW</td>\n",
|
||
" <td>AWG</td>\n",
|
||
" <td>20433.6541088167</td>\n",
|
||
" <td>20834.9397101237</td>\n",
|
||
" <td>22566.6821576324</td>\n",
|
||
" <td>23302.8319880055</td>\n",
|
||
" <td>24015.4206122701</td>\n",
|
||
" <td>25921.5382341406</td>\n",
|
||
" <td>27549.8894224976</td>\n",
|
||
" <td>24640.4212441218</td>\n",
|
||
" <td>24289.1415161326</td>\n",
|
||
" <td>25353.7875446441</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>Australia</td>\n",
|
||
" <td>AU</td>\n",
|
||
" <td>AUD</td>\n",
|
||
" <td>20059.4520721372</td>\n",
|
||
" <td>23440.0053221856</td>\n",
|
||
" <td>30440.8548786229</td>\n",
|
||
" <td>33982.9504271591</td>\n",
|
||
" <td>36084.8589777475</td>\n",
|
||
" <td>40957.8304392487</td>\n",
|
||
" <td>49628.1151270179</td>\n",
|
||
" <td>42715.1322619629</td>\n",
|
||
" <td>51845.6548605562</td>\n",
|
||
" <td>62216.5471294133</td>\n",
|
||
" <td>67646.1038529626</td>\n",
|
||
" <td>67652.6832146189</td>\n",
|
||
" <td>61995.8296976</td>\n",
|
||
" <td>56327.7214484289</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>Austria</td>\n",
|
||
" <td>AT</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>26351.3756769542</td>\n",
|
||
" <td>32102.9305523558</td>\n",
|
||
" <td>36693.4026205182</td>\n",
|
||
" <td>38242.0425174699</td>\n",
|
||
" <td>40430.993614499</td>\n",
|
||
" <td>46586.6502529235</td>\n",
|
||
" <td>51386.3766511975</td>\n",
|
||
" <td>47654.1872090808</td>\n",
|
||
" <td>46659.8408181344</td>\n",
|
||
" <td>51123.5613291663</td>\n",
|
||
" <td>48324.2540367606</td>\n",
|
||
" <td>50557.8038059874</td>\n",
|
||
" <td>51148.3588760796</td>\n",
|
||
" <td>43438.8630381343</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>12</th>\n",
|
||
" <td>Azerbaijan</td>\n",
|
||
" <td>AZ</td>\n",
|
||
" <td>AZN</td>\n",
|
||
" <td>763.101212220367</td>\n",
|
||
" <td>883.614008967961</td>\n",
|
||
" <td>1045.02641527642</td>\n",
|
||
" <td>1578.36733030667</td>\n",
|
||
" <td>2473.08577636837</td>\n",
|
||
" <td>3851.43786871172</td>\n",
|
||
" <td>5574.60380218613</td>\n",
|
||
" <td>4950.29479142375</td>\n",
|
||
" <td>5842.80578358576</td>\n",
|
||
" <td>7189.69122920765</td>\n",
|
||
" <td>7393.77187697623</td>\n",
|
||
" <td>7811.6214184582</td>\n",
|
||
" <td>7886.45914367274</td>\n",
|
||
" <td>5496.34464026248</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>Bahamas, The</td>\n",
|
||
" <td>BS</td>\n",
|
||
" <td>BSD</td>\n",
|
||
" <td>22505.4047934793</td>\n",
|
||
" <td>22008.4337005989</td>\n",
|
||
" <td>21995.5199216219</td>\n",
|
||
" <td>23405.8795479327</td>\n",
|
||
" <td>23721.1562800587</td>\n",
|
||
" <td>24306.1424243044</td>\n",
|
||
" <td>23657.365306222</td>\n",
|
||
" <td>22043.0125711709</td>\n",
|
||
" <td>21920.5165867583</td>\n",
|
||
" <td>21514.8986531628</td>\n",
|
||
" <td>22112.6083547268</td>\n",
|
||
" <td>22315.6036533886</td>\n",
|
||
" <td>22217.4941392075</td>\n",
|
||
" <td>22896.9236868716</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>Bahrain</td>\n",
|
||
" <td>BH</td>\n",
|
||
" <td>BHD</td>\n",
|
||
" <td>13279.0457951397</td>\n",
|
||
" <td>14541.6160485141</td>\n",
|
||
" <td>16275.1804236433</td>\n",
|
||
" <td>18418.0726743768</td>\n",
|
||
" <td>19669.3195545631</td>\n",
|
||
" <td>21167.6187062133</td>\n",
|
||
" <td>23043.0253174017</td>\n",
|
||
" <td>19166.7082382358</td>\n",
|
||
" <td>20386.0175551116</td>\n",
|
||
" <td>22238.7119502059</td>\n",
|
||
" <td>23063.1322870426</td>\n",
|
||
" <td>24378.9448284188</td>\n",
|
||
" <td>24855.2156350086</td>\n",
|
||
" <td>23395.7476902684</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>15</th>\n",
|
||
" <td>Bangladesh</td>\n",
|
||
" <td>BD</td>\n",
|
||
" <td>BDT</td>\n",
|
||
" <td>401.708153328187</td>\n",
|
||
" <td>434.046563233432</td>\n",
|
||
" <td>462.274879844841</td>\n",
|
||
" <td>485.852888073473</td>\n",
|
||
" <td>495.853780201055</td>\n",
|
||
" <td>543.082263122362</td>\n",
|
||
" <td>618.075883559283</td>\n",
|
||
" <td>683.614422272329</td>\n",
|
||
" <td>760.331935200195</td>\n",
|
||
" <td>838.547801702232</td>\n",
|
||
" <td>858.933362587621</td>\n",
|
||
" <td>954.396399715624</td>\n",
|
||
" <td>1086.80008676935</td>\n",
|
||
" <td>1211.70153057661</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>16</th>\n",
|
||
" <td>Barbados</td>\n",
|
||
" <td>BB</td>\n",
|
||
" <td>BBD</td>\n",
|
||
" <td>11674.9361829092</td>\n",
|
||
" <td>12028.8987405468</td>\n",
|
||
" <td>12869.3365947615</td>\n",
|
||
" <td>14223.7777039775</td>\n",
|
||
" <td>15646.815008726</td>\n",
|
||
" <td>16461.8292691759</td>\n",
|
||
" <td>16569.6049618665</td>\n",
|
||
" <td>16526.2545517227</td>\n",
|
||
" <td>15901.4329353355</td>\n",
|
||
" <td>15530.8942915589</td>\n",
|
||
" <td>15317.1390013495</td>\n",
|
||
" <td>15153.8213753482</td>\n",
|
||
" <td>15366.2926106288</td>\n",
|
||
" <td>15660.6794152314</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>17</th>\n",
|
||
" <td>Belarus</td>\n",
|
||
" <td>BY</td>\n",
|
||
" <td>BYR</td>\n",
|
||
" <td>1479.46532113219</td>\n",
|
||
" <td>1819.4790277163</td>\n",
|
||
" <td>2378.37489391196</td>\n",
|
||
" <td>3126.36777779462</td>\n",
|
||
" <td>3848.58620300891</td>\n",
|
||
" <td>4735.95688918873</td>\n",
|
||
" <td>6376.17311491284</td>\n",
|
||
" <td>5176.04470138203</td>\n",
|
||
" <td>5818.8548592158</td>\n",
|
||
" <td>6305.77366247653</td>\n",
|
||
" <td>6721.83490773968</td>\n",
|
||
" <td>7722.12335060436</td>\n",
|
||
" <td>8025.30435552468</td>\n",
|
||
" <td>5740.45649479562</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>18</th>\n",
|
||
" <td>Belgium</td>\n",
|
||
" <td>BE</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>25052.3302823</td>\n",
|
||
" <td>30743.9569254283</td>\n",
|
||
" <td>35589.7129457001</td>\n",
|
||
" <td>36967.2829204297</td>\n",
|
||
" <td>38852.3610339939</td>\n",
|
||
" <td>44403.8313061102</td>\n",
|
||
" <td>48424.5892730273</td>\n",
|
||
" <td>44880.5601517887</td>\n",
|
||
" <td>44382.8797683492</td>\n",
|
||
" <td>47699.8070518961</td>\n",
|
||
" <td>44734.4523465803</td>\n",
|
||
" <td>46622.4679873931</td>\n",
|
||
" <td>47299.8601085612</td>\n",
|
||
" <td>40231.2831740081</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>19</th>\n",
|
||
" <td>Belize</td>\n",
|
||
" <td>BZ</td>\n",
|
||
" <td>BZD</td>\n",
|
||
" <td>3556.61608225719</td>\n",
|
||
" <td>3679.79281542143</td>\n",
|
||
" <td>3831.60983030588</td>\n",
|
||
" <td>3933.2343731798</td>\n",
|
||
" <td>4187.23288999866</td>\n",
|
||
" <td>4324.83101711444</td>\n",
|
||
" <td>4470.22079597603</td>\n",
|
||
" <td>4258.84287648324</td>\n",
|
||
" <td>4344.13666906088</td>\n",
|
||
" <td>4516.23303047149</td>\n",
|
||
" <td>4673.55519784264</td>\n",
|
||
" <td>4723.59432062825</td>\n",
|
||
" <td>4884.3686203818</td>\n",
|
||
" <td>4906.9406908683</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>20</th>\n",
|
||
" <td>Benin</td>\n",
|
||
" <td>BJ</td>\n",
|
||
" <td>XOF</td>\n",
|
||
" <td>411.959075281789</td>\n",
|
||
" <td>509.461088697817</td>\n",
|
||
" <td>570.685501333771</td>\n",
|
||
" <td>587.080212422838</td>\n",
|
||
" <td>609.018608681583</td>\n",
|
||
" <td>685.551675107742</td>\n",
|
||
" <td>794.870176064085</td>\n",
|
||
" <td>768.013476447657</td>\n",
|
||
" <td>732.953622726674</td>\n",
|
||
" <td>799.03555913143</td>\n",
|
||
" <td>807.688451017232</td>\n",
|
||
" <td>882.638633279988</td>\n",
|
||
" <td>903.464924007693</td>\n",
|
||
" <td>779.067867757338</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>21</th>\n",
|
||
" <td>Bermuda</td>\n",
|
||
" <td>BM</td>\n",
|
||
" <td>BMD</td>\n",
|
||
" <td>62583.1002034588</td>\n",
|
||
" <td>66111.7252270036</td>\n",
|
||
" <td>70359.3191088798</td>\n",
|
||
" <td>75882.0338560339</td>\n",
|
||
" <td>83912.6977976846</td>\n",
|
||
" <td>90849.5869806436</td>\n",
|
||
" <td>93605.7481653976</td>\n",
|
||
" <td>88463.3128161375</td>\n",
|
||
" <td>88207.3275597322</td>\n",
|
||
" <td>85973.158416455</td>\n",
|
||
" <td>85458.455507886</td>\n",
|
||
" <td>85748.0654143782</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>22</th>\n",
|
||
" <td>Bhutan</td>\n",
|
||
" <td>BT</td>\n",
|
||
" <td>INR</td>\n",
|
||
" <td>897.445333164014</td>\n",
|
||
" <td>1009.00623184688</td>\n",
|
||
" <td>1107.92059564068</td>\n",
|
||
" <td>1257.54864008661</td>\n",
|
||
" <td>1346.08577480046</td>\n",
|
||
" <td>1755.16170904287</td>\n",
|
||
" <td>1810.57617704401</td>\n",
|
||
" <td>1786.81067200588</td>\n",
|
||
" <td>2201.29307778936</td>\n",
|
||
" <td>2485.78705216849</td>\n",
|
||
" <td>2452.15158793741</td>\n",
|
||
" <td>2383.04472990264</td>\n",
|
||
" <td>2560.52213174131</td>\n",
|
||
" <td>2532.45446832741</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>23</th>\n",
|
||
" <td>Bolivia</td>\n",
|
||
" <td>BO</td>\n",
|
||
" <td>BOB</td>\n",
|
||
" <td>913.575853422027</td>\n",
|
||
" <td>917.36431048617</td>\n",
|
||
" <td>978.334757576746</td>\n",
|
||
" <td>1046.4278428307</td>\n",
|
||
" <td>1233.59297372996</td>\n",
|
||
" <td>1389.6317502607</td>\n",
|
||
" <td>1736.92401415151</td>\n",
|
||
" <td>1776.85718962366</td>\n",
|
||
" <td>1981.16010525701</td>\n",
|
||
" <td>2377.70068972888</td>\n",
|
||
" <td>2645.29027433174</td>\n",
|
||
" <td>2948.03291763073</td>\n",
|
||
" <td>3124.08076212353</td>\n",
|
||
" <td>3095.3596925636</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>24</th>\n",
|
||
" <td>Bosnia and Herzegovina</td>\n",
|
||
" <td>BA</td>\n",
|
||
" <td>BAM</td>\n",
|
||
" <td>1746.48638346723</td>\n",
|
||
" <td>2192.64707824367</td>\n",
|
||
" <td>2619.75325753727</td>\n",
|
||
" <td>2928.26359035282</td>\n",
|
||
" <td>3351.96339986152</td>\n",
|
||
" <td>4107.99623197216</td>\n",
|
||
" <td>4974.66226666137</td>\n",
|
||
" <td>4586.20631315947</td>\n",
|
||
" <td>4475.08813004565</td>\n",
|
||
" <td>4860.78181134244</td>\n",
|
||
" <td>4494.64064038047</td>\n",
|
||
" <td>4748.04069226421</td>\n",
|
||
" <td>4851.66052786926</td>\n",
|
||
" <td>4197.80730449044</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25</th>\n",
|
||
" <td>Botswana</td>\n",
|
||
" <td>BW</td>\n",
|
||
" <td>BWP</td>\n",
|
||
" <td>3044.12735338963</td>\n",
|
||
" <td>4149.04137748834</td>\n",
|
||
" <td>4879.45946154727</td>\n",
|
||
" <td>5327.8535176786</td>\n",
|
||
" <td>5342.1403362253</td>\n",
|
||
" <td>5666.63784692568</td>\n",
|
||
" <td>5561.89823998598</td>\n",
|
||
" <td>5115.11924667202</td>\n",
|
||
" <td>6244.00257387272</td>\n",
|
||
" <td>7504.85090744898</td>\n",
|
||
" <td>6885.82968106945</td>\n",
|
||
" <td>6806.67746673071</td>\n",
|
||
" <td>7153.44432535212</td>\n",
|
||
" <td>6360.64477568565</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>26</th>\n",
|
||
" <td>Brazil</td>\n",
|
||
" <td>BR</td>\n",
|
||
" <td>BRL</td>\n",
|
||
" <td>2805.71725723054</td>\n",
|
||
" <td>3040.50649558819</td>\n",
|
||
" <td>3596.22457976056</td>\n",
|
||
" <td>4730.65346838158</td>\n",
|
||
" <td>5808.34054715979</td>\n",
|
||
" <td>7246.87010479067</td>\n",
|
||
" <td>8706.81914190374</td>\n",
|
||
" <td>8474.88106576607</td>\n",
|
||
" <td>11121.4209541496</td>\n",
|
||
" <td>13039.1216499582</td>\n",
|
||
" <td>12157.3082176473</td>\n",
|
||
" <td>12071.7779871352</td>\n",
|
||
" <td>11728.7993875108</td>\n",
|
||
" <td>8538.5899749574</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>27</th>\n",
|
||
" <td>British Virgin Islands</td>\n",
|
||
" <td>VG</td>\n",
|
||
" <td>USD</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>28</th>\n",
|
||
" <td>Brunei Darussalam</td>\n",
|
||
" <td>BN</td>\n",
|
||
" <td>BND</td>\n",
|
||
" <td>17016.9434933055</td>\n",
|
||
" <td>18758.9808946915</td>\n",
|
||
" <td>22131.9460641106</td>\n",
|
||
" <td>26337.9181126619</td>\n",
|
||
" <td>31157.6884478525</td>\n",
|
||
" <td>32707.7043073602</td>\n",
|
||
" <td>37798.3935034007</td>\n",
|
||
" <td>27726.481053695</td>\n",
|
||
" <td>31453.2243965354</td>\n",
|
||
" <td>41787.0214028978</td>\n",
|
||
" <td>41807.6533410575</td>\n",
|
||
" <td>39151.2342290391</td>\n",
|
||
" <td>40979.6419433378</td>\n",
|
||
" <td>36607.9278817468</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>29</th>\n",
|
||
" <td>Bulgaria</td>\n",
|
||
" <td>BG</td>\n",
|
||
" <td>BGN</td>\n",
|
||
" <td>2079.2289749196</td>\n",
|
||
" <td>2693.75876041107</td>\n",
|
||
" <td>3353.56414854374</td>\n",
|
||
" <td>3852.97775647268</td>\n",
|
||
" <td>4455.69022418578</td>\n",
|
||
" <td>5932.89967659315</td>\n",
|
||
" <td>7296.12247858585</td>\n",
|
||
" <td>6955.98773253421</td>\n",
|
||
" <td>6752.55217774882</td>\n",
|
||
" <td>7750.03988003072</td>\n",
|
||
" <td>7333.35507303945</td>\n",
|
||
" <td>7656.63850554922</td>\n",
|
||
" <td>7851.26542804234</td>\n",
|
||
" <td>6819.86910816324</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>187</th>\n",
|
||
" <td>Sweden</td>\n",
|
||
" <td>SE</td>\n",
|
||
" <td>SEK</td>\n",
|
||
" <td>29571.7044643283</td>\n",
|
||
" <td>36961.4253671424</td>\n",
|
||
" <td>42442.2204473133</td>\n",
|
||
" <td>43085.353145957</td>\n",
|
||
" <td>46256.4716010495</td>\n",
|
||
" <td>53324.3793724756</td>\n",
|
||
" <td>55746.8423811175</td>\n",
|
||
" <td>46207.0592032962</td>\n",
|
||
" <td>52076.4305245885</td>\n",
|
||
" <td>59593.6847982389</td>\n",
|
||
" <td>57134.0770682404</td>\n",
|
||
" <td>60283.24522267</td>\n",
|
||
" <td>58899.9797944845</td>\n",
|
||
" <td>50272.9415019928</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>188</th>\n",
|
||
" <td>Switzerland</td>\n",
|
||
" <td>CH</td>\n",
|
||
" <td>CHF</td>\n",
|
||
" <td>41336.7219170303</td>\n",
|
||
" <td>47960.5649721577</td>\n",
|
||
" <td>53255.9763084633</td>\n",
|
||
" <td>54797.5466345741</td>\n",
|
||
" <td>57348.9278823975</td>\n",
|
||
" <td>63223.467775151</td>\n",
|
||
" <td>72119.5608730311</td>\n",
|
||
" <td>69672.0047147337</td>\n",
|
||
" <td>74277.1205125567</td>\n",
|
||
" <td>88002.6095703805</td>\n",
|
||
" <td>83208.68654235</td>\n",
|
||
" <td>84669.2929367996</td>\n",
|
||
" <td>85610.8420285261</td>\n",
|
||
" <td>80214.7301520483</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>189</th>\n",
|
||
" <td>Syrian Arab Republic</td>\n",
|
||
" <td>SY</td>\n",
|
||
" <td>SYP</td>\n",
|
||
" <td>1269.72920825685</td>\n",
|
||
" <td>1261.42609007136</td>\n",
|
||
" <td>1419.59337922665</td>\n",
|
||
" <td>1591.53019241227</td>\n",
|
||
" <td>1779.82104926154</td>\n",
|
||
" <td>2079.98786380715</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>190</th>\n",
|
||
" <td>Tajikistan</td>\n",
|
||
" <td>TJ</td>\n",
|
||
" <td>TJS</td>\n",
|
||
" <td>190.604911236529</td>\n",
|
||
" <td>237.89319314008</td>\n",
|
||
" <td>311.424112807574</td>\n",
|
||
" <td>339.768076770367</td>\n",
|
||
" <td>407.252611650134</td>\n",
|
||
" <td>523.947651220881</td>\n",
|
||
" <td>711.503629870563</td>\n",
|
||
" <td>671.544008840534</td>\n",
|
||
" <td>744.189892165383</td>\n",
|
||
" <td>841.219870374428</td>\n",
|
||
" <td>962.439124853526</td>\n",
|
||
" <td>1048.66690599689</td>\n",
|
||
" <td>1113.36635446715</td>\n",
|
||
" <td>925.91188767081</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>191</th>\n",
|
||
" <td>Tanzania</td>\n",
|
||
" <td>TZ</td>\n",
|
||
" <td>TZS</td>\n",
|
||
" <td>310.207276508511</td>\n",
|
||
" <td>325.550773719717</td>\n",
|
||
" <td>348.052371292798</td>\n",
|
||
" <td>446.157893998536</td>\n",
|
||
" <td>475.908765113372</td>\n",
|
||
" <td>533.172396689392</td>\n",
|
||
" <td>657.728743357642</td>\n",
|
||
" <td>665.344002868127</td>\n",
|
||
" <td>708.521932325363</td>\n",
|
||
" <td>740.383900829825</td>\n",
|
||
" <td>827.52888076909</td>\n",
|
||
" <td>909.330141239446</td>\n",
|
||
" <td>954.618987954616</td>\n",
|
||
" <td>864.857502346707</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>192</th>\n",
|
||
" <td>Thailand</td>\n",
|
||
" <td>TH</td>\n",
|
||
" <td>THB</td>\n",
|
||
" <td>2093.97920641937</td>\n",
|
||
" <td>2349.38452566541</td>\n",
|
||
" <td>2643.47893487535</td>\n",
|
||
" <td>2874.38627417759</td>\n",
|
||
" <td>3351.11763286401</td>\n",
|
||
" <td>3962.7504988544</td>\n",
|
||
" <td>4384.78267515745</td>\n",
|
||
" <td>4231.14036778126</td>\n",
|
||
" <td>5111.90920222917</td>\n",
|
||
" <td>5539.49436810396</td>\n",
|
||
" <td>5915.22114668686</td>\n",
|
||
" <td>6225.05228315387</td>\n",
|
||
" <td>5969.94011583791</td>\n",
|
||
" <td>5816.44068998475</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>193</th>\n",
|
||
" <td>Timor-Leste</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>496.17975117256</td>\n",
|
||
" <td>487.394976066002</td>\n",
|
||
" <td>484.088448984765</td>\n",
|
||
" <td>501.429226481591</td>\n",
|
||
" <td>464.835169248192</td>\n",
|
||
" <td>551.720598424389</td>\n",
|
||
" <td>673.374537904</td>\n",
|
||
" <td>780.261110851448</td>\n",
|
||
" <td>875.836569271265</td>\n",
|
||
" <td>1015.71592799663</td>\n",
|
||
" <td>1127.10821457355</td>\n",
|
||
" <td>1117.73125130819</td>\n",
|
||
" <td>1131.23085071824</td>\n",
|
||
" <td>1134.42642789183</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>194</th>\n",
|
||
" <td>Togo</td>\n",
|
||
" <td>TG</td>\n",
|
||
" <td>XOF</td>\n",
|
||
" <td>286.758081572586</td>\n",
|
||
" <td>316.792068666893</td>\n",
|
||
" <td>356.830803515721</td>\n",
|
||
" <td>379.18092890047</td>\n",
|
||
" <td>384.288555620343</td>\n",
|
||
" <td>428.401561823965</td>\n",
|
||
" <td>522.625007010443</td>\n",
|
||
" <td>508.54052572385</td>\n",
|
||
" <td>496.482494202806</td>\n",
|
||
" <td>572.025703222528</td>\n",
|
||
" <td>573.207476512184</td>\n",
|
||
" <td>589.014053731293</td>\n",
|
||
" <td>629.9976439467</td>\n",
|
||
" <td>547.974683363941</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>195</th>\n",
|
||
" <td>Tonga</td>\n",
|
||
" <td>TO</td>\n",
|
||
" <td>TOP</td>\n",
|
||
" <td>1836.29040439251</td>\n",
|
||
" <td>2089.21704269256</td>\n",
|
||
" <td>2357.14647444959</td>\n",
|
||
" <td>2565.38579890357</td>\n",
|
||
" <td>2837.07547156741</td>\n",
|
||
" <td>2932.96275815712</td>\n",
|
||
" <td>3307.28239321081</td>\n",
|
||
" <td>3106.90237557772</td>\n",
|
||
" <td>3557.73718366504</td>\n",
|
||
" <td>4226.69274653294</td>\n",
|
||
" <td>4364.30924422214</td>\n",
|
||
" <td>4117.31098292096</td>\n",
|
||
" <td>4114.05211511279</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>196</th>\n",
|
||
" <td>Trinidad and Tobago</td>\n",
|
||
" <td>TT</td>\n",
|
||
" <td>TTD</td>\n",
|
||
" <td>7049.61006145836</td>\n",
|
||
" <td>8804.5186659639</td>\n",
|
||
" <td>10290.5191436384</td>\n",
|
||
" <td>12323.1365595732</td>\n",
|
||
" <td>14095.9958152811</td>\n",
|
||
" <td>16530.1804420146</td>\n",
|
||
" <td>21188.118565877</td>\n",
|
||
" <td>14508.8137365799</td>\n",
|
||
" <td>15840.4426914159</td>\n",
|
||
" <td>18287.3907851354</td>\n",
|
||
" <td>18322.323800986</td>\n",
|
||
" <td>20217.0322820943</td>\n",
|
||
" <td>21317.449265568</td>\n",
|
||
" <td>20444.0785895112</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>197</th>\n",
|
||
" <td>Tunisia</td>\n",
|
||
" <td>TN</td>\n",
|
||
" <td>TND</td>\n",
|
||
" <td>2373.83647757576</td>\n",
|
||
" <td>2790.00436823287</td>\n",
|
||
" <td>3139.53720163156</td>\n",
|
||
" <td>3217.96864628265</td>\n",
|
||
" <td>3394.42897986889</td>\n",
|
||
" <td>3805.15293730174</td>\n",
|
||
" <td>4342.82317730308</td>\n",
|
||
" <td>4162.5096689683</td>\n",
|
||
" <td>4176.59159013024</td>\n",
|
||
" <td>4291.87604315683</td>\n",
|
||
" <td>4179.46434367471</td>\n",
|
||
" <td>4248.89127558615</td>\n",
|
||
" <td>4328.90419734881</td>\n",
|
||
" <td>3872.51208364171</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>198</th>\n",
|
||
" <td>Turkey</td>\n",
|
||
" <td>TR</td>\n",
|
||
" <td>TRY</td>\n",
|
||
" <td>3570.54626341295</td>\n",
|
||
" <td>4586.81120315865</td>\n",
|
||
" <td>5855.53865983905</td>\n",
|
||
" <td>7117.23324132191</td>\n",
|
||
" <td>7727.27240453727</td>\n",
|
||
" <td>9309.50947782175</td>\n",
|
||
" <td>10382.3181608988</td>\n",
|
||
" <td>8623.94962718666</td>\n",
|
||
" <td>10111.5177049589</td>\n",
|
||
" <td>10538.4351203671</td>\n",
|
||
" <td>10539.3703371146</td>\n",
|
||
" <td>10800.3579763053</td>\n",
|
||
" <td>10303.8988002501</td>\n",
|
||
" <td>9130.02606479616</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>199</th>\n",
|
||
" <td>Turkmenistan</td>\n",
|
||
" <td>TM</td>\n",
|
||
" <td>TMT</td>\n",
|
||
" <td>969.970033452985</td>\n",
|
||
" <td>1286.01426124964</td>\n",
|
||
" <td>1455.93604950756</td>\n",
|
||
" <td>1706.95672639245</td>\n",
|
||
" <td>2140.45547216715</td>\n",
|
||
" <td>2606.74197588003</td>\n",
|
||
" <td>3918.93492678718</td>\n",
|
||
" <td>4059.96151102083</td>\n",
|
||
" <td>4479.01235418457</td>\n",
|
||
" <td>5724.53710231112</td>\n",
|
||
" <td>6797.72116602834</td>\n",
|
||
" <td>7480.32167773692</td>\n",
|
||
" <td>8193.72029690445</td>\n",
|
||
" <td>6947.84002260404</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>200</th>\n",
|
||
" <td>Turks and Caicos Islands</td>\n",
|
||
" <td>TC</td>\n",
|
||
" <td>USD</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>201</th>\n",
|
||
" <td>Tuvalu</td>\n",
|
||
" <td>TV</td>\n",
|
||
" <td>AUD</td>\n",
|
||
" <td>1621.33358266022</td>\n",
|
||
" <td>1901.03347628001</td>\n",
|
||
" <td>2232.60251748372</td>\n",
|
||
" <td>2252.89288563217</td>\n",
|
||
" <td>2353.35608772946</td>\n",
|
||
" <td>2768.37095732057</td>\n",
|
||
" <td>3094.62809172302</td>\n",
|
||
" <td>2763.16030537848</td>\n",
|
||
" <td>3238.37576273905</td>\n",
|
||
" <td>3993.50025430234</td>\n",
|
||
" <td>4044.19378022487</td>\n",
|
||
" <td>3880.19087861123</td>\n",
|
||
" <td>3826.90331140252</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>202</th>\n",
|
||
" <td>Uganda</td>\n",
|
||
" <td>UG</td>\n",
|
||
" <td>UGX</td>\n",
|
||
" <td>243.674624856652</td>\n",
|
||
" <td>241.694801118865</td>\n",
|
||
" <td>292.843015035141</td>\n",
|
||
" <td>321.435761373761</td>\n",
|
||
" <td>342.837263983568</td>\n",
|
||
" <td>409.87032601315</td>\n",
|
||
" <td>459.109775900068</td>\n",
|
||
" <td>557.523595605241</td>\n",
|
||
" <td>608.813023856722</td>\n",
|
||
" <td>591.438623816353</td>\n",
|
||
" <td>656.398072749334</td>\n",
|
||
" <td>674.341641819883</td>\n",
|
||
" <td>714.567356471156</td>\n",
|
||
" <td>675.573466220693</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>203</th>\n",
|
||
" <td>Ukraine</td>\n",
|
||
" <td>UA</td>\n",
|
||
" <td>UAH</td>\n",
|
||
" <td>879.475048622777</td>\n",
|
||
" <td>1048.52248790763</td>\n",
|
||
" <td>1367.35243333629</td>\n",
|
||
" <td>1828.71762576598</td>\n",
|
||
" <td>2303.01883093184</td>\n",
|
||
" <td>3068.60899799696</td>\n",
|
||
" <td>3891.03782318207</td>\n",
|
||
" <td>2545.4803410735</td>\n",
|
||
" <td>2973.99648071562</td>\n",
|
||
" <td>3569.75702740477</td>\n",
|
||
" <td>3855.4212801318</td>\n",
|
||
" <td>3986.28296611562</td>\n",
|
||
" <td>3065.16422265266</td>\n",
|
||
" <td>2114.95471628444</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>204</th>\n",
|
||
" <td>United Arab Emirates</td>\n",
|
||
" <td>AE</td>\n",
|
||
" <td>AED</td>\n",
|
||
" <td>32355.4095972427</td>\n",
|
||
" <td>34294.8939976005</td>\n",
|
||
" <td>37179.6818919642</td>\n",
|
||
" <td>40298.5242178562</td>\n",
|
||
" <td>42950.1005841305</td>\n",
|
||
" <td>42913.7840342254</td>\n",
|
||
" <td>45720.0178979792</td>\n",
|
||
" <td>32905.0538494054</td>\n",
|
||
" <td>34341.9112921486</td>\n",
|
||
" <td>39901.2209155518</td>\n",
|
||
" <td>41712.1242109135</td>\n",
|
||
" <td>42831.0891322689</td>\n",
|
||
" <td>43962.7136932011</td>\n",
|
||
" <td>40438.3763627115</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>205</th>\n",
|
||
" <td>United Kingdom</td>\n",
|
||
" <td>GB</td>\n",
|
||
" <td>GBP</td>\n",
|
||
" <td>28301.2083322425</td>\n",
|
||
" <td>32575.0919626199</td>\n",
|
||
" <td>38305.8726859929</td>\n",
|
||
" <td>40047.905967007</td>\n",
|
||
" <td>42534.3062613449</td>\n",
|
||
" <td>48428.1574527987</td>\n",
|
||
" <td>45195.1569273881</td>\n",
|
||
" <td>37166.2759654944</td>\n",
|
||
" <td>38292.8711313583</td>\n",
|
||
" <td>41020.3769643089</td>\n",
|
||
" <td>41294.5148008666</td>\n",
|
||
" <td>42294.8901157814</td>\n",
|
||
" <td>46278.5202128829</td>\n",
|
||
" <td>43734.0001709187</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>206</th>\n",
|
||
" <td>United States</td>\n",
|
||
" <td>US</td>\n",
|
||
" <td>USD</td>\n",
|
||
" <td>38166.0378407812</td>\n",
|
||
" <td>39677.1983481058</td>\n",
|
||
" <td>41921.8097617892</td>\n",
|
||
" <td>44307.9205848603</td>\n",
|
||
" <td>46437.0671173065</td>\n",
|
||
" <td>48061.5376613353</td>\n",
|
||
" <td>48401.4273403899</td>\n",
|
||
" <td>47001.5553496818</td>\n",
|
||
" <td>48374.0867933094</td>\n",
|
||
" <td>49781.8006563523</td>\n",
|
||
" <td>51433.0470904727</td>\n",
|
||
" <td>52660.2951049798</td>\n",
|
||
" <td>54398.4600093994</td>\n",
|
||
" <td>55836.7926308733</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>207</th>\n",
|
||
" <td>Uruguay</td>\n",
|
||
" <td>UY</td>\n",
|
||
" <td>UYU</td>\n",
|
||
" <td>4088.77254119908</td>\n",
|
||
" <td>3622.05228427976</td>\n",
|
||
" <td>4117.30885333007</td>\n",
|
||
" <td>5220.95739601735</td>\n",
|
||
" <td>5877.87960762231</td>\n",
|
||
" <td>7009.67815952936</td>\n",
|
||
" <td>9062.29053512906</td>\n",
|
||
" <td>9415.15358319032</td>\n",
|
||
" <td>11938.2750549849</td>\n",
|
||
" <td>14166.5576669096</td>\n",
|
||
" <td>15092.4720586676</td>\n",
|
||
" <td>16881.38400062</td>\n",
|
||
" <td>16737.973101175</td>\n",
|
||
" <td>15573.9009189374</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>208</th>\n",
|
||
" <td>Uzbekistan</td>\n",
|
||
" <td>UZ</td>\n",
|
||
" <td>UZS</td>\n",
|
||
" <td>383.349499748749</td>\n",
|
||
" <td>396.129968981304</td>\n",
|
||
" <td>465.119886944025</td>\n",
|
||
" <td>546.776850185552</td>\n",
|
||
" <td>642.960414644088</td>\n",
|
||
" <td>830.407694204322</td>\n",
|
||
" <td>1023.11964110698</td>\n",
|
||
" <td>1181.84735960066</td>\n",
|
||
" <td>1377.08214046938</td>\n",
|
||
" <td>1544.82777273524</td>\n",
|
||
" <td>1719.03619624155</td>\n",
|
||
" <td>1877.9645118434</td>\n",
|
||
" <td>2052.58678135925</td>\n",
|
||
" <td>2132.07244181734</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>209</th>\n",
|
||
" <td>Vanuatu</td>\n",
|
||
" <td>VU</td>\n",
|
||
" <td>VUV</td>\n",
|
||
" <td>1353.9278386398</td>\n",
|
||
" <td>1580.51066802466</td>\n",
|
||
" <td>1787.9382648014</td>\n",
|
||
" <td>1886.38830966499</td>\n",
|
||
" <td>2047.08828520065</td>\n",
|
||
" <td>2393.3346212201</td>\n",
|
||
" <td>2698.02124012432</td>\n",
|
||
" <td>2643.47578534313</td>\n",
|
||
" <td>2965.75223011673</td>\n",
|
||
" <td>3275.02398203673</td>\n",
|
||
" <td>3158.4209735273</td>\n",
|
||
" <td>3167.05530330465</td>\n",
|
||
" <td>3147.96485986836</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>210</th>\n",
|
||
" <td>Venezuela, RB</td>\n",
|
||
" <td>VE</td>\n",
|
||
" <td>VEF</td>\n",
|
||
" <td>3657.19374768603</td>\n",
|
||
" <td>3233.9561063252</td>\n",
|
||
" <td>4273.36537157056</td>\n",
|
||
" <td>5435.87225994853</td>\n",
|
||
" <td>6740.23677858669</td>\n",
|
||
" <td>8325.21658255278</td>\n",
|
||
" <td>11224.6467026883</td>\n",
|
||
" <td>11534.8406001136</td>\n",
|
||
" <td>13581.3533771018</td>\n",
|
||
" <td>10754.5928790654</td>\n",
|
||
" <td>12771.5950361107</td>\n",
|
||
" <td>12265.03113567</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>211</th>\n",
|
||
" <td>Vietnam</td>\n",
|
||
" <td>VN</td>\n",
|
||
" <td>VND</td>\n",
|
||
" <td>477.105876263106</td>\n",
|
||
" <td>530.861849364997</td>\n",
|
||
" <td>606.904378261988</td>\n",
|
||
" <td>699.499778976363</td>\n",
|
||
" <td>796.671573774518</td>\n",
|
||
" <td>919.209265568078</td>\n",
|
||
" <td>1164.61252461712</td>\n",
|
||
" <td>1232.36967118834</td>\n",
|
||
" <td>1333.58352635481</td>\n",
|
||
" <td>1542.67043610149</td>\n",
|
||
" <td>1754.5479738641</td>\n",
|
||
" <td>1907.56438167972</td>\n",
|
||
" <td>2052.31908380089</td>\n",
|
||
" <td>2111.13802366815</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>212</th>\n",
|
||
" <td>Virgin Islands (U.S.)</td>\n",
|
||
" <td>VI</td>\n",
|
||
" <td>USD</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>213</th>\n",
|
||
" <td>West Bank and Gaza</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1156.21747345769</td>\n",
|
||
" <td>1257.69857009689</td>\n",
|
||
" <td>1337.56572430673</td>\n",
|
||
" <td>1455.18787518115</td>\n",
|
||
" <td>1441.46170046742</td>\n",
|
||
" <td>1575.56340027289</td>\n",
|
||
" <td>1855.45702045882</td>\n",
|
||
" <td>1963.20151865719</td>\n",
|
||
" <td>2338.71987682303</td>\n",
|
||
" <td>2663.53702496611</td>\n",
|
||
" <td>2787.16973802917</td>\n",
|
||
" <td>2992.20099455427</td>\n",
|
||
" <td>2960.77800405245</td>\n",
|
||
" <td>2866.80010121789</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>214</th>\n",
|
||
" <td>Yemen, Rep.</td>\n",
|
||
" <td>YE</td>\n",
|
||
" <td>YER</td>\n",
|
||
" <td>567.821963311624</td>\n",
|
||
" <td>607.915804267557</td>\n",
|
||
" <td>696.054960696925</td>\n",
|
||
" <td>817.082416653512</td>\n",
|
||
" <td>904.605600055261</td>\n",
|
||
" <td>1181.2151760728</td>\n",
|
||
" <td>1361.7172085227</td>\n",
|
||
" <td>1239.83711886653</td>\n",
|
||
" <td>1310.05383929542</td>\n",
|
||
" <td>1282.39883187217</td>\n",
|
||
" <td>1289.03407763668</td>\n",
|
||
" <td>1408.14619260488</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>215</th>\n",
|
||
" <td>Zambia</td>\n",
|
||
" <td>ZM</td>\n",
|
||
" <td>ZMW</td>\n",
|
||
" <td>376.468039539246</td>\n",
|
||
" <td>429.007277894455</td>\n",
|
||
" <td>530.553584072736</td>\n",
|
||
" <td>691.80945858671</td>\n",
|
||
" <td>1030.31535972563</td>\n",
|
||
" <td>1103.48657711875</td>\n",
|
||
" <td>1365.72120522548</td>\n",
|
||
" <td>1134.77299782945</td>\n",
|
||
" <td>1456.12652618031</td>\n",
|
||
" <td>1635.54730435222</td>\n",
|
||
" <td>1724.74356387435</td>\n",
|
||
" <td>1839.52248112115</td>\n",
|
||
" <td>1725.97454864009</td>\n",
|
||
" <td>1307.78861109883</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>216</th>\n",
|
||
" <td>Zimbabwe</td>\n",
|
||
" <td>ZW</td>\n",
|
||
" <td>ZWL</td>\n",
|
||
" <td>499.716414957462</td>\n",
|
||
" <td>448.373192699451</td>\n",
|
||
" <td>451.171588554028</td>\n",
|
||
" <td>443.240135984532</td>\n",
|
||
" <td>414.680115131526</td>\n",
|
||
" <td>397.956872258099</td>\n",
|
||
" <td>327.199083662345</td>\n",
|
||
" <td>594.495968478092</td>\n",
|
||
" <td>674.268695411166</td>\n",
|
||
" <td>768.556409302399</td>\n",
|
||
" <td>850.827696604891</td>\n",
|
||
" <td>905.500321786172</td>\n",
|
||
" <td>931.19818468692</td>\n",
|
||
" <td>890.416087751634</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>217 rows × 18 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" name country_code currency_code 2002 \\\n",
|
||
"0 Afghanistan AF AFN 192.153528278789 \n",
|
||
"1 Albania AL ALL 1453.64277660853 \n",
|
||
"2 Algeria DZ DZD 1774.29202079911 \n",
|
||
"3 American Samoa AS USD NaN \n",
|
||
"4 Andorra NaN NaN 24175.3727542522 \n",
|
||
"5 Angola AO AOA 775.765518459716 \n",
|
||
"6 Antigua and Barbuda AG XCD 10027.8562205839 \n",
|
||
"7 Argentina AR ARS 2579.18819898884 \n",
|
||
"8 Armenia AM AMD 779.829626131555 \n",
|
||
"9 Aruba AW AWG 20433.6541088167 \n",
|
||
"10 Australia AU AUD 20059.4520721372 \n",
|
||
"11 Austria AT EUR 26351.3756769542 \n",
|
||
"12 Azerbaijan AZ AZN 763.101212220367 \n",
|
||
"13 Bahamas, The BS BSD 22505.4047934793 \n",
|
||
"14 Bahrain BH BHD 13279.0457951397 \n",
|
||
"15 Bangladesh BD BDT 401.708153328187 \n",
|
||
"16 Barbados BB BBD 11674.9361829092 \n",
|
||
"17 Belarus BY BYR 1479.46532113219 \n",
|
||
"18 Belgium BE EUR 25052.3302823 \n",
|
||
"19 Belize BZ BZD 3556.61608225719 \n",
|
||
"20 Benin BJ XOF 411.959075281789 \n",
|
||
"21 Bermuda BM BMD 62583.1002034588 \n",
|
||
"22 Bhutan BT INR 897.445333164014 \n",
|
||
"23 Bolivia BO BOB 913.575853422027 \n",
|
||
"24 Bosnia and Herzegovina BA BAM 1746.48638346723 \n",
|
||
"25 Botswana BW BWP 3044.12735338963 \n",
|
||
"26 Brazil BR BRL 2805.71725723054 \n",
|
||
"27 British Virgin Islands VG USD NaN \n",
|
||
"28 Brunei Darussalam BN BND 17016.9434933055 \n",
|
||
"29 Bulgaria BG BGN 2079.2289749196 \n",
|
||
".. ... ... ... ... \n",
|
||
"187 Sweden SE SEK 29571.7044643283 \n",
|
||
"188 Switzerland CH CHF 41336.7219170303 \n",
|
||
"189 Syrian Arab Republic SY SYP 1269.72920825685 \n",
|
||
"190 Tajikistan TJ TJS 190.604911236529 \n",
|
||
"191 Tanzania TZ TZS 310.207276508511 \n",
|
||
"192 Thailand TH THB 2093.97920641937 \n",
|
||
"193 Timor-Leste NaN NaN 496.17975117256 \n",
|
||
"194 Togo TG XOF 286.758081572586 \n",
|
||
"195 Tonga TO TOP 1836.29040439251 \n",
|
||
"196 Trinidad and Tobago TT TTD 7049.61006145836 \n",
|
||
"197 Tunisia TN TND 2373.83647757576 \n",
|
||
"198 Turkey TR TRY 3570.54626341295 \n",
|
||
"199 Turkmenistan TM TMT 969.970033452985 \n",
|
||
"200 Turks and Caicos Islands TC USD NaN \n",
|
||
"201 Tuvalu TV AUD 1621.33358266022 \n",
|
||
"202 Uganda UG UGX 243.674624856652 \n",
|
||
"203 Ukraine UA UAH 879.475048622777 \n",
|
||
"204 United Arab Emirates AE AED 32355.4095972427 \n",
|
||
"205 United Kingdom GB GBP 28301.2083322425 \n",
|
||
"206 United States US USD 38166.0378407812 \n",
|
||
"207 Uruguay UY UYU 4088.77254119908 \n",
|
||
"208 Uzbekistan UZ UZS 383.349499748749 \n",
|
||
"209 Vanuatu VU VUV 1353.9278386398 \n",
|
||
"210 Venezuela, RB VE VEF 3657.19374768603 \n",
|
||
"211 Vietnam VN VND 477.105876263106 \n",
|
||
"212 Virgin Islands (U.S.) VI USD NaN \n",
|
||
"213 West Bank and Gaza NaN NaN 1156.21747345769 \n",
|
||
"214 Yemen, Rep. YE YER 567.821963311624 \n",
|
||
"215 Zambia ZM ZMW 376.468039539246 \n",
|
||
"216 Zimbabwe ZW ZWL 499.716414957462 \n",
|
||
"\n",
|
||
" 2003 2004 2005 2006 \\\n",
|
||
"0 203.651040923182 224.914712193371 257.175794656273 280.245644106914 \n",
|
||
"1 1890.68155743544 2416.5882350701 2709.14293056201 3005.0129033756 \n",
|
||
"2 2094.89330213298 2600.00651972559 3102.03738422673 3467.54474008596 \n",
|
||
"3 NaN NaN NaN NaN \n",
|
||
"4 31742.9925847537 37235.4500323146 39990.3304085679 42417.2291456984 \n",
|
||
"5 850.075694129697 1135.60456355085 1576.16280066689 2253.83885003865 \n",
|
||
"6 10382.6309004545 10993.3692472668 12079.8656950416 13599.908857304 \n",
|
||
"7 3330.42866006847 4251.5653466058 5096.25833247505 5904.67813228342 \n",
|
||
"8 924.464009817761 1181.9684454224 1625.40776912682 2126.61866107184 \n",
|
||
"9 20834.9397101237 22566.6821576324 23302.8319880055 24015.4206122701 \n",
|
||
"10 23440.0053221856 30440.8548786229 33982.9504271591 36084.8589777475 \n",
|
||
"11 32102.9305523558 36693.4026205182 38242.0425174699 40430.993614499 \n",
|
||
"12 883.614008967961 1045.02641527642 1578.36733030667 2473.08577636837 \n",
|
||
"13 22008.4337005989 21995.5199216219 23405.8795479327 23721.1562800587 \n",
|
||
"14 14541.6160485141 16275.1804236433 18418.0726743768 19669.3195545631 \n",
|
||
"15 434.046563233432 462.274879844841 485.852888073473 495.853780201055 \n",
|
||
"16 12028.8987405468 12869.3365947615 14223.7777039775 15646.815008726 \n",
|
||
"17 1819.4790277163 2378.37489391196 3126.36777779462 3848.58620300891 \n",
|
||
"18 30743.9569254283 35589.7129457001 36967.2829204297 38852.3610339939 \n",
|
||
"19 3679.79281542143 3831.60983030588 3933.2343731798 4187.23288999866 \n",
|
||
"20 509.461088697817 570.685501333771 587.080212422838 609.018608681583 \n",
|
||
"21 66111.7252270036 70359.3191088798 75882.0338560339 83912.6977976846 \n",
|
||
"22 1009.00623184688 1107.92059564068 1257.54864008661 1346.08577480046 \n",
|
||
"23 917.36431048617 978.334757576746 1046.4278428307 1233.59297372996 \n",
|
||
"24 2192.64707824367 2619.75325753727 2928.26359035282 3351.96339986152 \n",
|
||
"25 4149.04137748834 4879.45946154727 5327.8535176786 5342.1403362253 \n",
|
||
"26 3040.50649558819 3596.22457976056 4730.65346838158 5808.34054715979 \n",
|
||
"27 NaN NaN NaN NaN \n",
|
||
"28 18758.9808946915 22131.9460641106 26337.9181126619 31157.6884478525 \n",
|
||
"29 2693.75876041107 3353.56414854374 3852.97775647268 4455.69022418578 \n",
|
||
".. ... ... ... ... \n",
|
||
"187 36961.4253671424 42442.2204473133 43085.353145957 46256.4716010495 \n",
|
||
"188 47960.5649721577 53255.9763084633 54797.5466345741 57348.9278823975 \n",
|
||
"189 1261.42609007136 1419.59337922665 1591.53019241227 1779.82104926154 \n",
|
||
"190 237.89319314008 311.424112807574 339.768076770367 407.252611650134 \n",
|
||
"191 325.550773719717 348.052371292798 446.157893998536 475.908765113372 \n",
|
||
"192 2349.38452566541 2643.47893487535 2874.38627417759 3351.11763286401 \n",
|
||
"193 487.394976066002 484.088448984765 501.429226481591 464.835169248192 \n",
|
||
"194 316.792068666893 356.830803515721 379.18092890047 384.288555620343 \n",
|
||
"195 2089.21704269256 2357.14647444959 2565.38579890357 2837.07547156741 \n",
|
||
"196 8804.5186659639 10290.5191436384 12323.1365595732 14095.9958152811 \n",
|
||
"197 2790.00436823287 3139.53720163156 3217.96864628265 3394.42897986889 \n",
|
||
"198 4586.81120315865 5855.53865983905 7117.23324132191 7727.27240453727 \n",
|
||
"199 1286.01426124964 1455.93604950756 1706.95672639245 2140.45547216715 \n",
|
||
"200 NaN NaN NaN NaN \n",
|
||
"201 1901.03347628001 2232.60251748372 2252.89288563217 2353.35608772946 \n",
|
||
"202 241.694801118865 292.843015035141 321.435761373761 342.837263983568 \n",
|
||
"203 1048.52248790763 1367.35243333629 1828.71762576598 2303.01883093184 \n",
|
||
"204 34294.8939976005 37179.6818919642 40298.5242178562 42950.1005841305 \n",
|
||
"205 32575.0919626199 38305.8726859929 40047.905967007 42534.3062613449 \n",
|
||
"206 39677.1983481058 41921.8097617892 44307.9205848603 46437.0671173065 \n",
|
||
"207 3622.05228427976 4117.30885333007 5220.95739601735 5877.87960762231 \n",
|
||
"208 396.129968981304 465.119886944025 546.776850185552 642.960414644088 \n",
|
||
"209 1580.51066802466 1787.9382648014 1886.38830966499 2047.08828520065 \n",
|
||
"210 3233.9561063252 4273.36537157056 5435.87225994853 6740.23677858669 \n",
|
||
"211 530.861849364997 606.904378261988 699.499778976363 796.671573774518 \n",
|
||
"212 NaN NaN NaN NaN \n",
|
||
"213 1257.69857009689 1337.56572430673 1455.18787518115 1441.46170046742 \n",
|
||
"214 607.915804267557 696.054960696925 817.082416653512 904.605600055261 \n",
|
||
"215 429.007277894455 530.553584072736 691.80945858671 1030.31535972563 \n",
|
||
"216 448.373192699451 451.171588554028 443.240135984532 414.680115131526 \n",
|
||
"\n",
|
||
" 2007 2008 2009 2010 \\\n",
|
||
"0 380.400955186598 384.131681276838 458.955781585831 569.940728793286 \n",
|
||
"1 3603.01368536638 4370.53964653148 4114.13654490945 4094.35883191918 \n",
|
||
"2 3939.55993939808 4912.25194081995 3875.82209542426 4473.48644568115 \n",
|
||
"3 NaN NaN NaN NaN \n",
|
||
"4 47253.5297963111 46735.9995745016 42701.447136255 39639.386021211 \n",
|
||
"5 3151.02243105289 4242.36306234092 3678.94765447179 3886.47935432524 \n",
|
||
"6 15276.0682646698 15786.1728395062 13979.2626925883 13017.3103875487 \n",
|
||
"7 7226.27029452745 8992.58961919674 8198.56611136286 10332.0323662966 \n",
|
||
"8 3080.97095943572 3919.97547381061 2915.5839059087 3124.78401786195 \n",
|
||
"9 25921.5382341406 27549.8894224976 24640.4212441218 24289.1415161326 \n",
|
||
"10 40957.8304392487 49628.1151270179 42715.1322619629 51845.6548605562 \n",
|
||
"11 46586.6502529235 51386.3766511975 47654.1872090808 46659.8408181344 \n",
|
||
"12 3851.43786871172 5574.60380218613 4950.29479142375 5842.80578358576 \n",
|
||
"13 24306.1424243044 23657.365306222 22043.0125711709 21920.5165867583 \n",
|
||
"14 21167.6187062133 23043.0253174017 19166.7082382358 20386.0175551116 \n",
|
||
"15 543.082263122362 618.075883559283 683.614422272329 760.331935200195 \n",
|
||
"16 16461.8292691759 16569.6049618665 16526.2545517227 15901.4329353355 \n",
|
||
"17 4735.95688918873 6376.17311491284 5176.04470138203 5818.8548592158 \n",
|
||
"18 44403.8313061102 48424.5892730273 44880.5601517887 44382.8797683492 \n",
|
||
"19 4324.83101711444 4470.22079597603 4258.84287648324 4344.13666906088 \n",
|
||
"20 685.551675107742 794.870176064085 768.013476447657 732.953622726674 \n",
|
||
"21 90849.5869806436 93605.7481653976 88463.3128161375 88207.3275597322 \n",
|
||
"22 1755.16170904287 1810.57617704401 1786.81067200588 2201.29307778936 \n",
|
||
"23 1389.6317502607 1736.92401415151 1776.85718962366 1981.16010525701 \n",
|
||
"24 4107.99623197216 4974.66226666137 4586.20631315947 4475.08813004565 \n",
|
||
"25 5666.63784692568 5561.89823998598 5115.11924667202 6244.00257387272 \n",
|
||
"26 7246.87010479067 8706.81914190374 8474.88106576607 11121.4209541496 \n",
|
||
"27 NaN NaN NaN NaN \n",
|
||
"28 32707.7043073602 37798.3935034007 27726.481053695 31453.2243965354 \n",
|
||
"29 5932.89967659315 7296.12247858585 6955.98773253421 6752.55217774882 \n",
|
||
".. ... ... ... ... \n",
|
||
"187 53324.3793724756 55746.8423811175 46207.0592032962 52076.4305245885 \n",
|
||
"188 63223.467775151 72119.5608730311 69672.0047147337 74277.1205125567 \n",
|
||
"189 2079.98786380715 NaN NaN NaN \n",
|
||
"190 523.947651220881 711.503629870563 671.544008840534 744.189892165383 \n",
|
||
"191 533.172396689392 657.728743357642 665.344002868127 708.521932325363 \n",
|
||
"192 3962.7504988544 4384.78267515745 4231.14036778126 5111.90920222917 \n",
|
||
"193 551.720598424389 673.374537904 780.261110851448 875.836569271265 \n",
|
||
"194 428.401561823965 522.625007010443 508.54052572385 496.482494202806 \n",
|
||
"195 2932.96275815712 3307.28239321081 3106.90237557772 3557.73718366504 \n",
|
||
"196 16530.1804420146 21188.118565877 14508.8137365799 15840.4426914159 \n",
|
||
"197 3805.15293730174 4342.82317730308 4162.5096689683 4176.59159013024 \n",
|
||
"198 9309.50947782175 10382.3181608988 8623.94962718666 10111.5177049589 \n",
|
||
"199 2606.74197588003 3918.93492678718 4059.96151102083 4479.01235418457 \n",
|
||
"200 NaN NaN NaN NaN \n",
|
||
"201 2768.37095732057 3094.62809172302 2763.16030537848 3238.37576273905 \n",
|
||
"202 409.87032601315 459.109775900068 557.523595605241 608.813023856722 \n",
|
||
"203 3068.60899799696 3891.03782318207 2545.4803410735 2973.99648071562 \n",
|
||
"204 42913.7840342254 45720.0178979792 32905.0538494054 34341.9112921486 \n",
|
||
"205 48428.1574527987 45195.1569273881 37166.2759654944 38292.8711313583 \n",
|
||
"206 48061.5376613353 48401.4273403899 47001.5553496818 48374.0867933094 \n",
|
||
"207 7009.67815952936 9062.29053512906 9415.15358319032 11938.2750549849 \n",
|
||
"208 830.407694204322 1023.11964110698 1181.84735960066 1377.08214046938 \n",
|
||
"209 2393.3346212201 2698.02124012432 2643.47578534313 2965.75223011673 \n",
|
||
"210 8325.21658255278 11224.6467026883 11534.8406001136 13581.3533771018 \n",
|
||
"211 919.209265568078 1164.61252461712 1232.36967118834 1333.58352635481 \n",
|
||
"212 NaN NaN NaN NaN \n",
|
||
"213 1575.56340027289 1855.45702045882 1963.20151865719 2338.71987682303 \n",
|
||
"214 1181.2151760728 1361.7172085227 1239.83711886653 1310.05383929542 \n",
|
||
"215 1103.48657711875 1365.72120522548 1134.77299782945 1456.12652618031 \n",
|
||
"216 397.956872258099 327.199083662345 594.495968478092 674.268695411166 \n",
|
||
"\n",
|
||
" 2011 2012 2013 2014 \\\n",
|
||
"0 622.379654358451 690.842629014956 653.347488111011 633.947864294639 \n",
|
||
"1 4437.8119990258 4247.83985201907 4412.34557813421 4588.64944014811 \n",
|
||
"2 5447.40397556569 5583.61615950131 5491.6144135648 5484.0668056148 \n",
|
||
"3 NaN NaN NaN NaN \n",
|
||
"4 41630.0525792977 39666.3692147448 42806.5224483021 NaN \n",
|
||
"5 4744.98762949589 5086.8484258086 5327.14889219232 5232.69050054132 \n",
|
||
"6 12817.8415733094 13525.616220134 13342.0849977054 13432.0792079208 \n",
|
||
"7 12800.2018563295 13040.306395228 13027.2048221392 12324.9387857728 \n",
|
||
"8 3417.17183599915 3565.5175749254 3716.82892254464 3873.53356580682 \n",
|
||
"9 25353.7875446441 NaN NaN NaN \n",
|
||
"10 62216.5471294133 67646.1038529626 67652.6832146189 61995.8296976 \n",
|
||
"11 51123.5613291663 48324.2540367606 50557.8038059874 51148.3588760796 \n",
|
||
"12 7189.69122920765 7393.77187697623 7811.6214184582 7886.45914367274 \n",
|
||
"13 21514.8986531628 22112.6083547268 22315.6036533886 22217.4941392075 \n",
|
||
"14 22238.7119502059 23063.1322870426 24378.9448284188 24855.2156350086 \n",
|
||
"15 838.547801702232 858.933362587621 954.396399715624 1086.80008676935 \n",
|
||
"16 15530.8942915589 15317.1390013495 15153.8213753482 15366.2926106288 \n",
|
||
"17 6305.77366247653 6721.83490773968 7722.12335060436 8025.30435552468 \n",
|
||
"18 47699.8070518961 44734.4523465803 46622.4679873931 47299.8601085612 \n",
|
||
"19 4516.23303047149 4673.55519784264 4723.59432062825 4884.3686203818 \n",
|
||
"20 799.03555913143 807.688451017232 882.638633279988 903.464924007693 \n",
|
||
"21 85973.158416455 85458.455507886 85748.0654143782 NaN \n",
|
||
"22 2485.78705216849 2452.15158793741 2383.04472990264 2560.52213174131 \n",
|
||
"23 2377.70068972888 2645.29027433174 2948.03291763073 3124.08076212353 \n",
|
||
"24 4860.78181134244 4494.64064038047 4748.04069226421 4851.66052786926 \n",
|
||
"25 7504.85090744898 6885.82968106945 6806.67746673071 7153.44432535212 \n",
|
||
"26 13039.1216499582 12157.3082176473 12071.7779871352 11728.7993875108 \n",
|
||
"27 NaN NaN NaN NaN \n",
|
||
"28 41787.0214028978 41807.6533410575 39151.2342290391 40979.6419433378 \n",
|
||
"29 7750.03988003072 7333.35507303945 7656.63850554922 7851.26542804234 \n",
|
||
".. ... ... ... ... \n",
|
||
"187 59593.6847982389 57134.0770682404 60283.24522267 58899.9797944845 \n",
|
||
"188 88002.6095703805 83208.68654235 84669.2929367996 85610.8420285261 \n",
|
||
"189 NaN NaN NaN NaN \n",
|
||
"190 841.219870374428 962.439124853526 1048.66690599689 1113.36635446715 \n",
|
||
"191 740.383900829825 827.52888076909 909.330141239446 954.618987954616 \n",
|
||
"192 5539.49436810396 5915.22114668686 6225.05228315387 5969.94011583791 \n",
|
||
"193 1015.71592799663 1127.10821457355 1117.73125130819 1131.23085071824 \n",
|
||
"194 572.025703222528 573.207476512184 589.014053731293 629.9976439467 \n",
|
||
"195 4226.69274653294 4364.30924422214 4117.31098292096 4114.05211511279 \n",
|
||
"196 18287.3907851354 18322.323800986 20217.0322820943 21317.449265568 \n",
|
||
"197 4291.87604315683 4179.46434367471 4248.89127558615 4328.90419734881 \n",
|
||
"198 10538.4351203671 10539.3703371146 10800.3579763053 10303.8988002501 \n",
|
||
"199 5724.53710231112 6797.72116602834 7480.32167773692 8193.72029690445 \n",
|
||
"200 NaN NaN NaN NaN \n",
|
||
"201 3993.50025430234 4044.19378022487 3880.19087861123 3826.90331140252 \n",
|
||
"202 591.438623816353 656.398072749334 674.341641819883 714.567356471156 \n",
|
||
"203 3569.75702740477 3855.4212801318 3986.28296611562 3065.16422265266 \n",
|
||
"204 39901.2209155518 41712.1242109135 42831.0891322689 43962.7136932011 \n",
|
||
"205 41020.3769643089 41294.5148008666 42294.8901157814 46278.5202128829 \n",
|
||
"206 49781.8006563523 51433.0470904727 52660.2951049798 54398.4600093994 \n",
|
||
"207 14166.5576669096 15092.4720586676 16881.38400062 16737.973101175 \n",
|
||
"208 1544.82777273524 1719.03619624155 1877.9645118434 2052.58678135925 \n",
|
||
"209 3275.02398203673 3158.4209735273 3167.05530330465 3147.96485986836 \n",
|
||
"210 10754.5928790654 12771.5950361107 12265.03113567 NaN \n",
|
||
"211 1542.67043610149 1754.5479738641 1907.56438167972 2052.31908380089 \n",
|
||
"212 NaN NaN NaN NaN \n",
|
||
"213 2663.53702496611 2787.16973802917 2992.20099455427 2960.77800405245 \n",
|
||
"214 1282.39883187217 1289.03407763668 1408.14619260488 NaN \n",
|
||
"215 1635.54730435222 1724.74356387435 1839.52248112115 1725.97454864009 \n",
|
||
"216 768.556409302399 850.827696604891 905.500321786172 931.19818468692 \n",
|
||
"\n",
|
||
" 2015 2016 \n",
|
||
"0 590.269515382605 NaN \n",
|
||
"1 3965.01680558488 NaN \n",
|
||
"2 4206.03123244958 NaN \n",
|
||
"3 NaN NaN \n",
|
||
"4 NaN NaN \n",
|
||
"5 4102.11858969272 NaN \n",
|
||
"6 14128.8785463675 NaN \n",
|
||
"7 13431.8783398577 NaN \n",
|
||
"8 3499.80421759862 NaN \n",
|
||
"9 NaN NaN \n",
|
||
"10 56327.7214484289 NaN \n",
|
||
"11 43438.8630381343 NaN \n",
|
||
"12 5496.34464026248 NaN \n",
|
||
"13 22896.9236868716 NaN \n",
|
||
"14 23395.7476902684 NaN \n",
|
||
"15 1211.70153057661 NaN \n",
|
||
"16 15660.6794152314 NaN \n",
|
||
"17 5740.45649479562 NaN \n",
|
||
"18 40231.2831740081 NaN \n",
|
||
"19 4906.9406908683 NaN \n",
|
||
"20 779.067867757338 NaN \n",
|
||
"21 NaN NaN \n",
|
||
"22 2532.45446832741 NaN \n",
|
||
"23 3095.3596925636 NaN \n",
|
||
"24 4197.80730449044 NaN \n",
|
||
"25 6360.64477568565 NaN \n",
|
||
"26 8538.5899749574 NaN \n",
|
||
"27 NaN NaN \n",
|
||
"28 36607.9278817468 NaN \n",
|
||
"29 6819.86910816324 NaN \n",
|
||
".. ... ... \n",
|
||
"187 50272.9415019928 NaN \n",
|
||
"188 80214.7301520483 NaN \n",
|
||
"189 NaN NaN \n",
|
||
"190 925.91188767081 NaN \n",
|
||
"191 864.857502346707 NaN \n",
|
||
"192 5816.44068998475 NaN \n",
|
||
"193 1134.42642789183 NaN \n",
|
||
"194 547.974683363941 NaN \n",
|
||
"195 NaN NaN \n",
|
||
"196 20444.0785895112 NaN \n",
|
||
"197 3872.51208364171 NaN \n",
|
||
"198 9130.02606479616 NaN \n",
|
||
"199 6947.84002260404 NaN \n",
|
||
"200 NaN NaN \n",
|
||
"201 NaN NaN \n",
|
||
"202 675.573466220693 NaN \n",
|
||
"203 2114.95471628444 NaN \n",
|
||
"204 40438.3763627115 NaN \n",
|
||
"205 43734.0001709187 NaN \n",
|
||
"206 55836.7926308733 NaN \n",
|
||
"207 15573.9009189374 NaN \n",
|
||
"208 2132.07244181734 NaN \n",
|
||
"209 NaN NaN \n",
|
||
"210 NaN NaN \n",
|
||
"211 2111.13802366815 NaN \n",
|
||
"212 NaN NaN \n",
|
||
"213 2866.80010121789 NaN \n",
|
||
"214 NaN NaN \n",
|
||
"215 1307.78861109883 NaN \n",
|
||
"216 890.416087751634 NaN \n",
|
||
"\n",
|
||
"[217 rows x 18 columns]"
|
||
]
|
||
},
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Merde gdp and code\n",
|
||
"country_gdp = pd.merge(country_gdp, country_codes, left_on='country_code_3', right_on='ISO3166-1-Alpha-3', how='left')\n",
|
||
"country_gdp.drop(['official_name_en', 'ISO3166-1-Alpha-3', 'country_code_3'], axis=1, inplace=True)\n",
|
||
"country_gdp = country_gdp.rename(columns = {'ISO3166-1-Alpha-2':'country_code',\n",
|
||
" 'ISO4217-currency_alphabetic_code':'currency_code'})\n",
|
||
"country_gdp.replace('..', np.nan, inplace=True)\n",
|
||
"\n",
|
||
"# Reorder columns\n",
|
||
"cols = list(country_gdp.columns)\n",
|
||
"cols.insert(1, cols.pop(cols.index('country_code')))\n",
|
||
"cols.insert(2, cols.pop(cols.index('currency_code')))\n",
|
||
"country_gdp = country_gdp.reindex(columns= cols)\n",
|
||
"\n",
|
||
"country_gdp"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def gdp(country_code, disbursal_date):\n",
|
||
" def historical_gdp(array):\n",
|
||
" array = np.array(map(float, array))\n",
|
||
" array = array[~np.isnan(array)] # Remove NaN\n",
|
||
" if len(array) == 0: # No GDP values\n",
|
||
" return 0\n",
|
||
" return float(np.mean(array, dtype=np.float64))\n",
|
||
" \n",
|
||
" # TODO: Unable to resolve country code WorldBank dataset has wrong alpha 3 codes e.g. Andorra causing issues\n",
|
||
" try:\n",
|
||
" float(country_code)\n",
|
||
" return 0\n",
|
||
" except:\n",
|
||
" if country_code not in list(country_gdp['country_code']):\n",
|
||
" return 0 # TODO: Bad solution ? \n",
|
||
" \n",
|
||
" # Get the historical average GDP if no disbursal date\n",
|
||
" all_gdp = country_gdp[country_gdp.country_code == country_code].values[0][3:]\n",
|
||
" if (disbursal_date is None): # or (country_gdp[date][country_gdp.country_code == country_code] == float('Nan')):\n",
|
||
" return historical_gdp(all_gdp)\n",
|
||
" \n",
|
||
" date = str(datetime.strptime(disbursal_date, '%Y-%m-%dT%H:%M:%SZ').year)\n",
|
||
" # Get the historical average GDP if no GDP for that year\n",
|
||
" if pd.isnull(country_gdp[date][country_gdp.country_code == country_code].values[0]):\n",
|
||
" return historical_gdp(all_gdp)\n",
|
||
" \n",
|
||
" return float(country_gdp[date][country_gdp.country_code == country_code].values[0])\n",
|
||
"\n",
|
||
"sql_ctx.registerFunction('gdp', gdp, pyspark.sql.types.FloatType())\n",
|
||
"# gdp('ZA', '2016-12-13T18:22:55Z')\n",
|
||
"\n",
|
||
"# sql_ctx.sql(\"\"\"\n",
|
||
"# SELECT \n",
|
||
"# activity, \n",
|
||
"# basket_amount,\n",
|
||
"# terms.disbursal_date,\n",
|
||
"# gdp(location.country_code, terms.disbursal_date) as gdp\n",
|
||
"# FROM loans\n",
|
||
"# LIMIT 10\n",
|
||
"# \"\"\").collect()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"train, validation, test = loans.randomSplit([.6, .2, .2], 101)\n",
|
||
"\n",
|
||
"\n",
|
||
"train.registerTempTable('loans_train')\n",
|
||
"validation.registerTempTable('loans_validation')\n",
|
||
"test.registerTempTable('loans_test')\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"\n",
|
||
"# Starts Here - Currency exchange"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Series Name</th>\n",
|
||
" <th>Series Code</th>\n",
|
||
" <th>Country Name</th>\n",
|
||
" <th>Country Code</th>\n",
|
||
" <th>2002 [YR2002]</th>\n",
|
||
" <th>2003 [YR2003]</th>\n",
|
||
" <th>2004 [YR2004]</th>\n",
|
||
" <th>2005 [YR2005]</th>\n",
|
||
" <th>2006 [YR2006]</th>\n",
|
||
" <th>2007 [YR2007]</th>\n",
|
||
" <th>2008 [YR2008]</th>\n",
|
||
" <th>2009 [YR2009]</th>\n",
|
||
" <th>2010 [YR2010]</th>\n",
|
||
" <th>2011 [YR2011]</th>\n",
|
||
" <th>2012 [YR2012]</th>\n",
|
||
" <th>2013 [YR2013]</th>\n",
|
||
" <th>2014 [YR2014]</th>\n",
|
||
" <th>2015 [YR2015]</th>\n",
|
||
" <th>2016 [YR2016]</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>213</th>\n",
|
||
" <td>Official exchange rate (LCU per US$, period av...</td>\n",
|
||
" <td>PA.NUS.FCRF</td>\n",
|
||
" <td>West Bank and Gaza</td>\n",
|
||
" <td>WBG</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>214</th>\n",
|
||
" <td>Official exchange rate (LCU per US$, period av...</td>\n",
|
||
" <td>PA.NUS.FCRF</td>\n",
|
||
" <td>Yemen, Rep.</td>\n",
|
||
" <td>YEM</td>\n",
|
||
" <td>175.625</td>\n",
|
||
" <td>183.448333333333</td>\n",
|
||
" <td>184.775833333333</td>\n",
|
||
" <td>191.509166666667</td>\n",
|
||
" <td>197.049166666667</td>\n",
|
||
" <td>198.953333333333</td>\n",
|
||
" <td>199.764166666667</td>\n",
|
||
" <td>202.846666666667</td>\n",
|
||
" <td>219.59</td>\n",
|
||
" <td>213.8</td>\n",
|
||
" <td>214.350833333333</td>\n",
|
||
" <td>214.89</td>\n",
|
||
" <td>214.89</td>\n",
|
||
" <td>214.89</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>215</th>\n",
|
||
" <td>Official exchange rate (LCU per US$, period av...</td>\n",
|
||
" <td>PA.NUS.FCRF</td>\n",
|
||
" <td>Zambia</td>\n",
|
||
" <td>ZMB</td>\n",
|
||
" <td>4.398595</td>\n",
|
||
" <td>4.73327104649872</td>\n",
|
||
" <td>4.77887538643579</td>\n",
|
||
" <td>4.46350331051587</td>\n",
|
||
" <td>3.60307204258249</td>\n",
|
||
" <td>4.00252266503643</td>\n",
|
||
" <td>3.74566069008764</td>\n",
|
||
" <td>5.04610924521235</td>\n",
|
||
" <td>4.797136875</td>\n",
|
||
" <td>4.86066553209349</td>\n",
|
||
" <td>5.14725266514413</td>\n",
|
||
" <td>5.39588706794446</td>\n",
|
||
" <td>6.15281624812449</td>\n",
|
||
" <td>8.63235596234196</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>216</th>\n",
|
||
" <td>Official exchange rate (LCU per US$, period av...</td>\n",
|
||
" <td>PA.NUS.FCRF</td>\n",
|
||
" <td>Zimbabwe</td>\n",
|
||
" <td>ZWE</td>\n",
|
||
" <td>0.0550982905810338</td>\n",
|
||
" <td>0.698216071305723</td>\n",
|
||
" <td>5.07441941463195</td>\n",
|
||
" <td>22.3890396048255</td>\n",
|
||
" <td>164.547356500646</td>\n",
|
||
" <td>9686.77166954175</td>\n",
|
||
" <td>6723052073.3381</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>217</th>\n",
|
||
" <td>Official exchange rate (LCU per US$, period av...</td>\n",
|
||
" <td>PA.NUS.FCRF</td>\n",
|
||
" <td>Euro area</td>\n",
|
||
" <td>EMU</td>\n",
|
||
" <td>1.06255166666667</td>\n",
|
||
" <td>0.886034166666667</td>\n",
|
||
" <td>0.805365</td>\n",
|
||
" <td>0.80412</td>\n",
|
||
" <td>0.797140833333333</td>\n",
|
||
" <td>0.7306375</td>\n",
|
||
" <td>0.682674711239873</td>\n",
|
||
" <td>0.719843359785615</td>\n",
|
||
" <td>0.755044951989835</td>\n",
|
||
" <td>0.719355253609154</td>\n",
|
||
" <td>0.778293601412852</td>\n",
|
||
" <td>0.75315918184727</td>\n",
|
||
" <td>0.753730736717402</td>\n",
|
||
" <td>0.901658961641278</td>\n",
|
||
" <td>..</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Series Name Series Code \\\n",
|
||
"213 Official exchange rate (LCU per US$, period av... PA.NUS.FCRF \n",
|
||
"214 Official exchange rate (LCU per US$, period av... PA.NUS.FCRF \n",
|
||
"215 Official exchange rate (LCU per US$, period av... PA.NUS.FCRF \n",
|
||
"216 Official exchange rate (LCU per US$, period av... PA.NUS.FCRF \n",
|
||
"217 Official exchange rate (LCU per US$, period av... PA.NUS.FCRF \n",
|
||
"\n",
|
||
" Country Name Country Code 2002 [YR2002] 2003 [YR2003] \\\n",
|
||
"213 West Bank and Gaza WBG .. .. \n",
|
||
"214 Yemen, Rep. YEM 175.625 183.448333333333 \n",
|
||
"215 Zambia ZMB 4.398595 4.73327104649872 \n",
|
||
"216 Zimbabwe ZWE 0.0550982905810338 0.698216071305723 \n",
|
||
"217 Euro area EMU 1.06255166666667 0.886034166666667 \n",
|
||
"\n",
|
||
" 2004 [YR2004] 2005 [YR2005] 2006 [YR2006] 2007 [YR2007] \\\n",
|
||
"213 .. .. .. .. \n",
|
||
"214 184.775833333333 191.509166666667 197.049166666667 198.953333333333 \n",
|
||
"215 4.77887538643579 4.46350331051587 3.60307204258249 4.00252266503643 \n",
|
||
"216 5.07441941463195 22.3890396048255 164.547356500646 9686.77166954175 \n",
|
||
"217 0.805365 0.80412 0.797140833333333 0.7306375 \n",
|
||
"\n",
|
||
" 2008 [YR2008] 2009 [YR2009] 2010 [YR2010] \\\n",
|
||
"213 .. .. .. \n",
|
||
"214 199.764166666667 202.846666666667 219.59 \n",
|
||
"215 3.74566069008764 5.04610924521235 4.797136875 \n",
|
||
"216 6723052073.3381 .. .. \n",
|
||
"217 0.682674711239873 0.719843359785615 0.755044951989835 \n",
|
||
"\n",
|
||
" 2011 [YR2011] 2012 [YR2012] 2013 [YR2013] \\\n",
|
||
"213 .. .. .. \n",
|
||
"214 213.8 214.350833333333 214.89 \n",
|
||
"215 4.86066553209349 5.14725266514413 5.39588706794446 \n",
|
||
"216 .. .. .. \n",
|
||
"217 0.719355253609154 0.778293601412852 0.75315918184727 \n",
|
||
"\n",
|
||
" 2014 [YR2014] 2015 [YR2015] 2016 [YR2016] \n",
|
||
"213 .. .. .. \n",
|
||
"214 214.89 214.89 .. \n",
|
||
"215 6.15281624812449 8.63235596234196 .. \n",
|
||
"216 .. .. .. \n",
|
||
"217 0.753730736717402 0.901658961641278 .. "
|
||
]
|
||
},
|
||
"execution_count": 23,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"currencies_raw = pd.read_csv(LOCAL_PATH + 'economic-data/currencies.csv')\n",
|
||
"currencies_raw.tail()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"metadata": {
|
||
"collapsed": true
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Cleanup\n",
|
||
"currencies = currencies_raw.drop(country_gdp_raw.columns[[0, 1]], axis=1)\n",
|
||
"currencies.columns = ['country_name', 'country_code_3', '2002', '2003', '2004', '2005', '2006',\n",
|
||
" '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016']"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>country_name</th>\n",
|
||
" <th>country_code</th>\n",
|
||
" <th>currency_code</th>\n",
|
||
" <th>2002</th>\n",
|
||
" <th>2003</th>\n",
|
||
" <th>2004</th>\n",
|
||
" <th>2005</th>\n",
|
||
" <th>2006</th>\n",
|
||
" <th>2007</th>\n",
|
||
" <th>2008</th>\n",
|
||
" <th>2009</th>\n",
|
||
" <th>2010</th>\n",
|
||
" <th>2011</th>\n",
|
||
" <th>2012</th>\n",
|
||
" <th>2013</th>\n",
|
||
" <th>2014</th>\n",
|
||
" <th>2015</th>\n",
|
||
" <th>2016</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>213</th>\n",
|
||
" <td>West Bank and Gaza</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>214</th>\n",
|
||
" <td>Yemen, Rep.</td>\n",
|
||
" <td>YE</td>\n",
|
||
" <td>YER</td>\n",
|
||
" <td>175.625</td>\n",
|
||
" <td>183.448333333333</td>\n",
|
||
" <td>184.775833333333</td>\n",
|
||
" <td>191.509166666667</td>\n",
|
||
" <td>197.049166666667</td>\n",
|
||
" <td>198.953333333333</td>\n",
|
||
" <td>199.764166666667</td>\n",
|
||
" <td>202.846666666667</td>\n",
|
||
" <td>219.59</td>\n",
|
||
" <td>213.8</td>\n",
|
||
" <td>214.350833333333</td>\n",
|
||
" <td>214.89</td>\n",
|
||
" <td>214.89</td>\n",
|
||
" <td>214.89</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>215</th>\n",
|
||
" <td>Zambia</td>\n",
|
||
" <td>ZM</td>\n",
|
||
" <td>ZMW</td>\n",
|
||
" <td>4.398595</td>\n",
|
||
" <td>4.73327104649872</td>\n",
|
||
" <td>4.77887538643579</td>\n",
|
||
" <td>4.46350331051587</td>\n",
|
||
" <td>3.60307204258249</td>\n",
|
||
" <td>4.00252266503643</td>\n",
|
||
" <td>3.74566069008764</td>\n",
|
||
" <td>5.04610924521235</td>\n",
|
||
" <td>4.797136875</td>\n",
|
||
" <td>4.86066553209349</td>\n",
|
||
" <td>5.14725266514413</td>\n",
|
||
" <td>5.39588706794446</td>\n",
|
||
" <td>6.15281624812449</td>\n",
|
||
" <td>8.63235596234196</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>216</th>\n",
|
||
" <td>Zimbabwe</td>\n",
|
||
" <td>ZW</td>\n",
|
||
" <td>ZWL</td>\n",
|
||
" <td>0.0550982905810338</td>\n",
|
||
" <td>0.698216071305723</td>\n",
|
||
" <td>5.07441941463195</td>\n",
|
||
" <td>22.3890396048255</td>\n",
|
||
" <td>164.547356500646</td>\n",
|
||
" <td>9686.77166954175</td>\n",
|
||
" <td>6723052073.3381</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>217</th>\n",
|
||
" <td>Euro area</td>\n",
|
||
" <td>EU</td>\n",
|
||
" <td>EMU</td>\n",
|
||
" <td>1.06255166666667</td>\n",
|
||
" <td>0.886034166666667</td>\n",
|
||
" <td>0.805365</td>\n",
|
||
" <td>0.80412</td>\n",
|
||
" <td>0.797140833333333</td>\n",
|
||
" <td>0.7306375</td>\n",
|
||
" <td>0.682674711239873</td>\n",
|
||
" <td>0.719843359785615</td>\n",
|
||
" <td>0.755044951989835</td>\n",
|
||
" <td>0.719355253609154</td>\n",
|
||
" <td>0.778293601412852</td>\n",
|
||
" <td>0.75315918184727</td>\n",
|
||
" <td>0.753730736717402</td>\n",
|
||
" <td>0.901658961641278</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" country_name country_code currency_code 2002 \\\n",
|
||
"213 West Bank and Gaza NaN NaN NaN \n",
|
||
"214 Yemen, Rep. YE YER 175.625 \n",
|
||
"215 Zambia ZM ZMW 4.398595 \n",
|
||
"216 Zimbabwe ZW ZWL 0.0550982905810338 \n",
|
||
"217 Euro area EU EMU 1.06255166666667 \n",
|
||
"\n",
|
||
" 2003 2004 2005 2006 \\\n",
|
||
"213 NaN NaN NaN NaN \n",
|
||
"214 183.448333333333 184.775833333333 191.509166666667 197.049166666667 \n",
|
||
"215 4.73327104649872 4.77887538643579 4.46350331051587 3.60307204258249 \n",
|
||
"216 0.698216071305723 5.07441941463195 22.3890396048255 164.547356500646 \n",
|
||
"217 0.886034166666667 0.805365 0.80412 0.797140833333333 \n",
|
||
"\n",
|
||
" 2007 2008 2009 \\\n",
|
||
"213 NaN NaN NaN \n",
|
||
"214 198.953333333333 199.764166666667 202.846666666667 \n",
|
||
"215 4.00252266503643 3.74566069008764 5.04610924521235 \n",
|
||
"216 9686.77166954175 6723052073.3381 NaN \n",
|
||
"217 0.7306375 0.682674711239873 0.719843359785615 \n",
|
||
"\n",
|
||
" 2010 2011 2012 \\\n",
|
||
"213 NaN NaN NaN \n",
|
||
"214 219.59 213.8 214.350833333333 \n",
|
||
"215 4.797136875 4.86066553209349 5.14725266514413 \n",
|
||
"216 NaN NaN NaN \n",
|
||
"217 0.755044951989835 0.719355253609154 0.778293601412852 \n",
|
||
"\n",
|
||
" 2013 2014 2015 2016 \n",
|
||
"213 NaN NaN NaN NaN \n",
|
||
"214 214.89 214.89 214.89 NaN \n",
|
||
"215 5.39588706794446 6.15281624812449 8.63235596234196 NaN \n",
|
||
"216 NaN NaN NaN NaN \n",
|
||
"217 0.75315918184727 0.753730736717402 0.901658961641278 NaN "
|
||
]
|
||
},
|
||
"execution_count": 25,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Get ISO 2 code\n",
|
||
"currencies = pd.merge(currencies, country_codes, left_on='country_code_3', right_on='ISO3166-1-Alpha-3', how='left')\n",
|
||
"currencies.drop(['official_name_en', 'ISO3166-1-Alpha-3', 'country_code_3'], axis=1, inplace=True)\n",
|
||
"currencies = currencies.rename(columns = {'ISO3166-1-Alpha-2':'country_code',\n",
|
||
" 'ISO4217-currency_alphabetic_code':'currency_code'})\n",
|
||
"currencies.replace('..', np.nan, inplace=True)\n",
|
||
"\n",
|
||
"# Add code for European Union\n",
|
||
"currencies.set_value(217, 'country_code', 'EU')\n",
|
||
"currencies.set_value(217, 'currency_code', 'EMU')\n",
|
||
"\n",
|
||
"# Reorder columns\n",
|
||
"cols = list(currencies.columns)\n",
|
||
"cols.insert(1, cols.pop(cols.index('country_code')))\n",
|
||
"cols.insert(2, cols.pop(cols.index('currency_code')))\n",
|
||
"currencies = currencies.reindex(columns=cols)\n",
|
||
"\n",
|
||
"currencies.tail()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def xchange_rate(country_code, disbursal_date):\n",
|
||
" def historical_rates(array):\n",
|
||
" array = np.array(map(float, array))\n",
|
||
" array = array[~np.isnan(array)] # Remove NaN\n",
|
||
" if len(array) == 0: # No rate values\n",
|
||
" return 1\n",
|
||
" return float(np.mean(array, dtype=np.float64))\n",
|
||
" \n",
|
||
" eu = ['AT','BE','BG','HR','CY','CZ','DK','EE','FI','FR','DE','GR','HU','IE',\n",
|
||
" 'IT','LV','LT','LU','MT','NL','PL','PT','RO','SK','SI','ES','SE','GB']\n",
|
||
" us = ['AS','GU','MP','PR','UM','VI']\n",
|
||
" try:\n",
|
||
" float(country_code) # Country code unknown?\n",
|
||
" if pd.isnull(country_code):\n",
|
||
" return 1 # TODO: Bad solution ??\n",
|
||
" except:\n",
|
||
" if country_code in eu:\n",
|
||
" country_code = 'EU'\n",
|
||
" elif country_code in us:\n",
|
||
" country_code = 'US'\n",
|
||
" if country_code not in list(currencies['country_code']):\n",
|
||
" return 1\n",
|
||
" \n",
|
||
" \n",
|
||
" # TODO: Unable to resolve country code WorldBank dataset has wrong alpha 3 codes e.g. Andorra causing\n",
|
||
" try:\n",
|
||
" float(country_code)\n",
|
||
" return 0\n",
|
||
" except:\n",
|
||
" if country_code not in list(currencies['country_code']):\n",
|
||
" return 0 # TODO: Bad solution \n",
|
||
" \n",
|
||
" # Get the historical average exchange rate if no disbursal date\n",
|
||
" all_rates = currencies[currencies.country_code == country_code].values[0][3:]\n",
|
||
" if (disbursal_date is None): # or (country_gdp[date][country_gdp.country_code == country_code] == float('Nan')):\n",
|
||
" return historical_rates(all_rates)\n",
|
||
" \n",
|
||
" date = str(datetime.strptime(disbursal_date, '%Y-%m-%dT%H:%M:%SZ').year)\n",
|
||
" # Get the historical average exchange rate if no GDP for that year\n",
|
||
" if pd.isnull(currencies[date][currencies.country_code == country_code].values[0]):\n",
|
||
" return historical_rates(all_rates)\n",
|
||
" \n",
|
||
" return float(currencies[date][currencies.country_code == country_code].values[0])\n",
|
||
"\n",
|
||
"sql_ctx.registerFunction('xchange_rate', xchange_rate, pyspark.sql.types.FloatType())\n",
|
||
"# xchange_rate('BE', '2016-12-13T18:22:55Z') \n",
|
||
"\n",
|
||
"# sql_ctx.sql(\"\"\"\n",
|
||
"# SELECT \n",
|
||
"# xchange_rate(location.country_code, terms.disbursal_date) as xchange_rate\n",
|
||
"# FROM loans\n",
|
||
"# LIMIT 20\n",
|
||
"# \"\"\").collect()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 81,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def extract_tags(tags):\n",
|
||
" value = []\n",
|
||
" if len(tags) != 0:\n",
|
||
" value = [item for (item,) in tags]\n",
|
||
" return ','.join(value)\n",
|
||
"\n",
|
||
"sql_ctx.registerFunction('extract_tags', extract_tags, pyspark.sql.types.StringType())\n",
|
||
"\n",
|
||
" \n",
|
||
"# # unpack_tags([('volunteer_pick',), ('volunteer_like',)])\n",
|
||
"\n",
|
||
"# sql_ctx.registerFunction('unpack_tags', unpack_tags)\n",
|
||
"# sql_ctx.sql(\n",
|
||
"# \"\"\"\n",
|
||
"# SELECT \n",
|
||
"# unpack_tags(tags) as tags\n",
|
||
"# FROM loans\n",
|
||
"# LIMIT 20000\n",
|
||
"# \"\"\"\n",
|
||
"# ).collect()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 82,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"\n",
|
||
"query = '''\n",
|
||
"SELECT\n",
|
||
" id,\n",
|
||
" activity,\n",
|
||
" size(borrowers) as num_borrowers,\n",
|
||
" male_proportion(borrowers) as male_proportion,\n",
|
||
" lender_count,\n",
|
||
" location.country,\n",
|
||
" location.country_code,\n",
|
||
" partner_id,\n",
|
||
" sector,\n",
|
||
" extract_tags(tags) as tags,\n",
|
||
" DATEDIFF(terms.disbursal_date, planned_expiration_date) as loan_length,\n",
|
||
" terms.disbursal_amount,\n",
|
||
" terms.disbursal_currency,\n",
|
||
" terms.disbursal_date,\n",
|
||
" size(terms.scheduled_payments) as num_repayments,\n",
|
||
" terms.repayment_interval,\n",
|
||
" CASE WHEN\n",
|
||
" (status = 'defaulted') OR\n",
|
||
" (status = 'deleted') OR\n",
|
||
" (status = 'issue') OR\n",
|
||
" (status = 'inactive_expired') OR\n",
|
||
" (status = 'expired') OR\n",
|
||
" (status = 'inactive') OR\n",
|
||
" (delinquent = True) THEN 1 ELSE 0 END AS bad_loan,\n",
|
||
" gdp(location.country_code, terms.disbursal_date) as gdp,\n",
|
||
" xchange_rate(location.country_code, terms.disbursal_date) as xchange_rate,\n",
|
||
" status,\n",
|
||
" delinquent\n",
|
||
" \n",
|
||
"FROM {}\n",
|
||
"WHERE\n",
|
||
" status != 'fundraising' AND\n",
|
||
" status != 'funded'\n",
|
||
"'''# Removed CASE WHEN (status = 'refunded') as it appears not to be bad loan indicator\n",
|
||
"\n",
|
||
"train_filtered = sql_ctx.sql(query.format('loans_train'))\n",
|
||
"# sparkSql.sql(query.format('loans_validation')).write.json('validation_data-filtered.json')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Prediction"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 163,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"loans_pd = sql_ctx.sql(query2.format('loans')).toPandas()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 164,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>id</th>\n",
|
||
" <th>activity</th>\n",
|
||
" <th>num_borrowers</th>\n",
|
||
" <th>male_proportion</th>\n",
|
||
" <th>lender_count</th>\n",
|
||
" <th>country</th>\n",
|
||
" <th>country_code</th>\n",
|
||
" <th>partner_id</th>\n",
|
||
" <th>sector</th>\n",
|
||
" <th>tags</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>disbursal_amount</th>\n",
|
||
" <th>disbursal_currency</th>\n",
|
||
" <th>disbursal_date</th>\n",
|
||
" <th>num_repayments</th>\n",
|
||
" <th>repayment_interval</th>\n",
|
||
" <th>bad_loan</th>\n",
|
||
" <th>gdp</th>\n",
|
||
" <th>xchange_rate</th>\n",
|
||
" <th>status</th>\n",
|
||
" <th>delinquent</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1224</td>\n",
|
||
" <td>Clothing Sales</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>Honduras</td>\n",
|
||
" <td>HN</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>Clothing</td>\n",
|
||
" <td></td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>250.0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1884.941162</td>\n",
|
||
" <td>18.520081</td>\n",
|
||
" <td>deleted</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>5320</td>\n",
|
||
" <td>Food Production/Sales</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>7</td>\n",
|
||
" <td>Ghana</td>\n",
|
||
" <td>GH</td>\n",
|
||
" <td>19</td>\n",
|
||
" <td>Food</td>\n",
|
||
" <td></td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>500.0</td>\n",
|
||
" <td>USD</td>\n",
|
||
" <td>2007-03-15T04:52:22Z</td>\n",
|
||
" <td>9</td>\n",
|
||
" <td>Monthly</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1099.022339</td>\n",
|
||
" <td>0.935248</td>\n",
|
||
" <td>paid</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>9416</td>\n",
|
||
" <td>Food Production/Sales</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>Vietnam</td>\n",
|
||
" <td>VN</td>\n",
|
||
" <td>41</td>\n",
|
||
" <td>Food</td>\n",
|
||
" <td></td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>75.0</td>\n",
|
||
" <td>USD</td>\n",
|
||
" <td>2007-05-17T22:02:42Z</td>\n",
|
||
" <td>6</td>\n",
|
||
" <td>Monthly</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>919.209290</td>\n",
|
||
" <td>16105.125000</td>\n",
|
||
" <td>paid</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>13512</td>\n",
|
||
" <td>Clothing Sales</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>10</td>\n",
|
||
" <td>Nigeria</td>\n",
|
||
" <td>NG</td>\n",
|
||
" <td>20</td>\n",
|
||
" <td>Clothing</td>\n",
|
||
" <td></td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>450.0</td>\n",
|
||
" <td>USD</td>\n",
|
||
" <td>2007-07-20T16:35:52Z</td>\n",
|
||
" <td>8</td>\n",
|
||
" <td>Monthly</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1131.147705</td>\n",
|
||
" <td>125.808105</td>\n",
|
||
" <td>paid</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>17608</td>\n",
|
||
" <td>Livestock</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>36</td>\n",
|
||
" <td>Cote D'Ivoire</td>\n",
|
||
" <td>CI</td>\n",
|
||
" <td>53</td>\n",
|
||
" <td>Agriculture</td>\n",
|
||
" <td></td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>950.0</td>\n",
|
||
" <td>USD</td>\n",
|
||
" <td>2007-09-20T02:55:18Z</td>\n",
|
||
" <td>12</td>\n",
|
||
" <td>Monthly</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1078.541504</td>\n",
|
||
" <td>479.266785</td>\n",
|
||
" <td>paid</td>\n",
|
||
" <td>None</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>5 rows × 21 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id activity num_borrowers male_proportion lender_count \\\n",
|
||
"0 1224 Clothing Sales 1 0.0 0 \n",
|
||
"1 5320 Food Production/Sales 1 0.0 7 \n",
|
||
"2 9416 Food Production/Sales 1 0.0 3 \n",
|
||
"3 13512 Clothing Sales 1 0.0 10 \n",
|
||
"4 17608 Livestock 1 0.0 36 \n",
|
||
"\n",
|
||
" country country_code partner_id sector tags ... \\\n",
|
||
"0 Honduras HN 5 Clothing ... \n",
|
||
"1 Ghana GH 19 Food ... \n",
|
||
"2 Vietnam VN 41 Food ... \n",
|
||
"3 Nigeria NG 20 Clothing ... \n",
|
||
"4 Cote D'Ivoire CI 53 Agriculture ... \n",
|
||
"\n",
|
||
" disbursal_amount disbursal_currency disbursal_date num_repayments \\\n",
|
||
"0 250.0 None None 0 \n",
|
||
"1 500.0 USD 2007-03-15T04:52:22Z 9 \n",
|
||
"2 75.0 USD 2007-05-17T22:02:42Z 6 \n",
|
||
"3 450.0 USD 2007-07-20T16:35:52Z 8 \n",
|
||
"4 950.0 USD 2007-09-20T02:55:18Z 12 \n",
|
||
"\n",
|
||
" repayment_interval bad_loan gdp xchange_rate status delinquent \n",
|
||
"0 None 1 1884.941162 18.520081 deleted None \n",
|
||
"1 Monthly 0 1099.022339 0.935248 paid None \n",
|
||
"2 Monthly 0 919.209290 16105.125000 paid None \n",
|
||
"3 Monthly 0 1131.147705 125.808105 paid None \n",
|
||
"4 Monthly 0 1078.541504 479.266785 paid None \n",
|
||
"\n",
|
||
"[5 rows x 21 columns]"
|
||
]
|
||
},
|
||
"execution_count": 164,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"loans_pd.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 165,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"from sklearn.model_selection import train_test_split\n",
|
||
"\n",
|
||
"loans_pd.fillna(0, inplace=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 166,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"loans_pd = loans_pd.drop(['status', 'delinquent'], axis=1)\n",
|
||
"loans_dummies = pd.get_dummies(loans_pd)\n",
|
||
"\n",
|
||
"train, test = train_test_split(loans_dummies, test_size=0.30, random_state=42)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 168,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"11 0\n",
|
||
"47 0\n",
|
||
"85 0\n",
|
||
"28 1\n",
|
||
"93 1\n",
|
||
"Name: bad_loan, dtype: int64"
|
||
]
|
||
},
|
||
"execution_count": 168,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"train_target = pd.Series(train['bad_loan'])\n",
|
||
"train_ids = pd.Series(test['id'])\n",
|
||
"\n",
|
||
"test_target = pd.Series(test['bad_loan'])\n",
|
||
"test_ids = pd.Series(test['id'])\n",
|
||
"\n",
|
||
"train = train.drop(['id', 'bad_loan'], axis=1)\n",
|
||
"test = test.drop(['id', 'bad_loan'], axis=1)\n",
|
||
"\n",
|
||
"train_target.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 169,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"train_data = train.as_matrix()\n",
|
||
"test_data = test.as_matrix()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 172,
|
||
"metadata": {
|
||
"collapsed": true
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"from sklearn import svm\n",
|
||
"\n",
|
||
"clf = svm.SVC(gamma=0.001, C=100.)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 173,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"0.93333333333333335"
|
||
]
|
||
},
|
||
"execution_count": 173,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"clf.fit(train_data, train_target)\n",
|
||
"\n",
|
||
"predicted = clf.predict(test_data)\n",
|
||
"np.mean(predicted == test_target)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": true
|
||
},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 2",
|
||
"language": "python",
|
||
"name": "python2"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 2
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython2",
|
||
"version": "2.7.10"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 0
|
||
}
|