mirror of
https://github.com/bspeice/kiva-dig
synced 2024-12-04 12:48:10 -05:00
Add initial code to list the JSON datatypes
This commit is contained in:
Bradlee Speice
parent
cc1c73d050
commit
45af64e68c
157
.ipynb_checkpoints/Kiva Datatypes-checkpoint.ipynb
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157
.ipynb_checkpoints/Kiva Datatypes-checkpoint.ipynb
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@ -0,0 +1,157 @@
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{
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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": true
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},
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"outputs": [],
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"source": [
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"sparkSql = (SparkSession.builder\n",
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" .master(\"local\")\n",
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" .appName(\"Kiva Exploration\")\n",
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" .getOrCreate())\n",
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"\n",
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"loans = sparkSql.read.format('json').load('kiva-data/loans.json')\n",
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"lenders = sparkSql.read.format('json').load('kiva-data/lenders.json')\n",
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"loans_lenders = sparkSql.read.format('json').load('kiva-data/loans_lenders.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": 2,
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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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"[('activity', 'string'),\n",
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" ('arrears_amount', 'string'),\n",
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" ('basket_amount', 'bigint'),\n",
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" ('bonus_credit_eligibility', 'boolean'),\n",
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" ('borrowers',\n",
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" 'array<struct<first_name:string,gender:string,last_name:string,pictured:boolean>>'),\n",
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" ('currency_exchange_loss_amount', 'double'),\n",
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" ('delinquent', 'string'),\n",
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" ('description',\n",
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" 'struct<languages:array<string>,texts:struct<ar:string,en:string,es:string,fr:string,id:string,mn:string,pt:string,ru:string,vi:string>>'),\n",
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" ('funded_amount', 'bigint'),\n",
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" ('funded_date', 'string'),\n",
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" ('id', 'bigint'),\n",
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" ('image', 'struct<id:bigint,template_id:bigint>'),\n",
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" ('journal_totals', 'struct<bulkEntries:bigint,entries:bigint>'),\n",
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" ('lender_count', 'bigint'),\n",
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" ('loan_amount', 'bigint'),\n",
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" ('location',\n",
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" 'struct<country:string,country_code:string,geo:struct<level:string,pairs:string,type:string>,town:string>'),\n",
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" ('name', 'string'),\n",
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" ('paid_amount', 'string'),\n",
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" ('paid_date', 'string'),\n",
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" ('partner_id', 'bigint'),\n",
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" ('payments', 'array<string>'),\n",
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" ('planned_expiration_date', 'string'),\n",
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" ('posted_date', 'string'),\n",
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" ('sector', 'string'),\n",
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" ('status', 'string'),\n",
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" ('tags', 'array<struct<name:string>>'),\n",
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" ('terms',\n",
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" 'struct<disbursal_amount:double,disbursal_currency:string,disbursal_date:string,loan_amount:bigint,local_payments:array<struct<amount:double,due_date:string>>,loss_liability:struct<currency_exchange:string,currency_exchange_coverage_rate:double,nonpayment:string>,repayment_interval:string,repayment_term:bigint,scheduled_payments:array<struct<amount:double,due_date:string>>>'),\n",
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" ('themes', 'array<string>'),\n",
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" ('translator', 'struct<byline:string,image:bigint>'),\n",
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" ('use', 'string'),\n",
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" ('video',\n",
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" 'struct<id:bigint,thumbnailImageId:bigint,title:string,youtubeId:string>')]"
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]
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},
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"execution_count": 2,
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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.dtypes"
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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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{
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"data": {
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"text/plain": [
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"[('country_code', 'string'),\n",
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" ('image', 'struct<id:bigint,template_id:bigint>'),\n",
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" ('invitee_count', 'bigint'),\n",
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" ('inviter_id', 'string'),\n",
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" ('lender_id', 'string'),\n",
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" ('loan_because', 'string'),\n",
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" ('loan_count', 'bigint'),\n",
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" ('member_since', 'string'),\n",
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" ('name', 'string'),\n",
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" ('occupation', 'string'),\n",
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" ('occupational_info', 'string'),\n",
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" ('personal_url', 'string'),\n",
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" ('uid', 'string'),\n",
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" ('whereabouts', 'string')]"
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]
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},
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"execution_count": 3,
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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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"lenders.dtypes"
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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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"[('id', 'bigint'), ('lender_ids', 'array<string>')]"
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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_lenders.dtypes"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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157
Kiva Datatypes.ipynb
Normal file
157
Kiva Datatypes.ipynb
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@ -0,0 +1,157 @@
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{
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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": true
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},
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"outputs": [],
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"source": [
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"sparkSql = (SparkSession.builder\n",
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" .master(\"local\")\n",
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" .appName(\"Kiva Exploration\")\n",
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" .getOrCreate())\n",
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"\n",
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"loans = sparkSql.read.format('json').load('kiva-data/loans.json')\n",
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"lenders = sparkSql.read.format('json').load('kiva-data/lenders.json')\n",
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"loans_lenders = sparkSql.read.format('json').load('kiva-data/loans_lenders.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": 2,
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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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"[('activity', 'string'),\n",
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" ('arrears_amount', 'string'),\n",
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" ('basket_amount', 'bigint'),\n",
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" ('bonus_credit_eligibility', 'boolean'),\n",
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" ('borrowers',\n",
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" 'array<struct<first_name:string,gender:string,last_name:string,pictured:boolean>>'),\n",
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" ('currency_exchange_loss_amount', 'double'),\n",
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" ('delinquent', 'string'),\n",
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" ('description',\n",
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" 'struct<languages:array<string>,texts:struct<ar:string,en:string,es:string,fr:string,id:string,mn:string,pt:string,ru:string,vi:string>>'),\n",
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" ('funded_amount', 'bigint'),\n",
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" ('funded_date', 'string'),\n",
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" ('id', 'bigint'),\n",
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" ('image', 'struct<id:bigint,template_id:bigint>'),\n",
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" ('journal_totals', 'struct<bulkEntries:bigint,entries:bigint>'),\n",
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" ('lender_count', 'bigint'),\n",
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" ('loan_amount', 'bigint'),\n",
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" ('location',\n",
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" 'struct<country:string,country_code:string,geo:struct<level:string,pairs:string,type:string>,town:string>'),\n",
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" ('name', 'string'),\n",
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" ('paid_amount', 'string'),\n",
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" ('paid_date', 'string'),\n",
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" ('partner_id', 'bigint'),\n",
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" ('payments', 'array<string>'),\n",
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" ('planned_expiration_date', 'string'),\n",
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" ('posted_date', 'string'),\n",
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" ('sector', 'string'),\n",
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" ('status', 'string'),\n",
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" ('tags', 'array<struct<name:string>>'),\n",
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" ('terms',\n",
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" 'struct<disbursal_amount:double,disbursal_currency:string,disbursal_date:string,loan_amount:bigint,local_payments:array<struct<amount:double,due_date:string>>,loss_liability:struct<currency_exchange:string,currency_exchange_coverage_rate:double,nonpayment:string>,repayment_interval:string,repayment_term:bigint,scheduled_payments:array<struct<amount:double,due_date:string>>>'),\n",
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" ('themes', 'array<string>'),\n",
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" ('translator', 'struct<byline:string,image:bigint>'),\n",
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" ('use', 'string'),\n",
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" ('video',\n",
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" 'struct<id:bigint,thumbnailImageId:bigint,title:string,youtubeId:string>')]"
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]
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},
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"execution_count": 2,
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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.dtypes"
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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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{
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"data": {
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"text/plain": [
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"[('country_code', 'string'),\n",
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" ('image', 'struct<id:bigint,template_id:bigint>'),\n",
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" ('invitee_count', 'bigint'),\n",
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" ('inviter_id', 'string'),\n",
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" ('lender_id', 'string'),\n",
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" ('loan_because', 'string'),\n",
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" ('loan_count', 'bigint'),\n",
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" ('member_since', 'string'),\n",
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" ('name', 'string'),\n",
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" ('occupation', 'string'),\n",
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" ('occupational_info', 'string'),\n",
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" ('personal_url', 'string'),\n",
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" ('uid', 'string'),\n",
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" ('whereabouts', 'string')]"
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]
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},
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"execution_count": 3,
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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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"lenders.dtypes"
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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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"[('id', 'bigint'), ('lender_ids', 'array<string>')]"
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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_lenders.dtypes"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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