Additional Kiva Snapshot
Additional 3GB uncompressed snapshot from kiva
@kaggle.gaborfodor_additional_kiva_snapshot
Additional 3GB uncompressed snapshot from kiva
@kaggle.gaborfodor_additional_kiva_snapshot
This dataset contains additional data snapshot provided by kiva.org. It could be used in the Data Science for Good: Kiva Crowdfunding challenge. The snapshot provides information about 1.4M loans and 2.3M lenders.
Country level statistics and detailed economic grid data are provided as well.
These additional files could be used for
This dataset has seven main files.
Photo by Doug Linstedt on Unsplash.
CREATE TABLE country_stats (
"country_name" VARCHAR,
"country_code" VARCHAR,
"country_code3" VARCHAR,
"continent" VARCHAR,
"region" VARCHAR,
"population" BIGINT,
"population_below_poverty_line" DOUBLE,
"hdi" DOUBLE,
"life_expectancy" DOUBLE,
"expected_years_of_schooling" DOUBLE,
"mean_years_of_schooling" DOUBLE,
"gni" DOUBLE,
"kiva_country_name" VARCHAR
);CREATE TABLE geconv4 (
"area" BIGINT,
"country" VARCHAR,
"lat" BIGINT,
"longitude" BIGINT,
"long_name" VARCHAR,
"mer1990_40" VARCHAR,
"mer1995_40" VARCHAR,
"mer2000_40" VARCHAR,
"mer2005_40" VARCHAR,
"newcountryid" BIGINT,
"popgpw_1990_40" DOUBLE,
"popgpw_1995_40" DOUBLE,
"popgpw_2000_40" DOUBLE,
"popgpw_2005_40" DOUBLE,
"ppp1990_40" VARCHAR,
"ppp1995_40" VARCHAR,
"ppp2000_40" VARCHAR,
"ppp2005_40" VARCHAR,
"quality" DOUBLE,
"rig" DOUBLE,
"quality_revision" VARCHAR,
"date_of_last" VARCHAR
);CREATE TABLE lenders (
"permanent_name" VARCHAR,
"display_name" VARCHAR,
"city" VARCHAR,
"state" VARCHAR,
"country_code" VARCHAR,
"member_since" BIGINT,
"occupation" VARCHAR,
"loan_because" VARCHAR,
"loan_purchase_num" DOUBLE,
"invited_by" VARCHAR,
"num_invited" BIGINT
);CREATE TABLE loan_coords (
"loan_id" BIGINT,
"latitude" DOUBLE,
"longitude" DOUBLE
);CREATE TABLE loans (
"loan_id" BIGINT,
"loan_name" VARCHAR,
"original_language" VARCHAR,
"description" VARCHAR,
"description_translated" VARCHAR,
"funded_amount" DOUBLE,
"loan_amount" DOUBLE,
"status" VARCHAR,
"activity_name" VARCHAR,
"sector_name" VARCHAR,
"loan_use" VARCHAR,
"country_code" VARCHAR,
"country_name" VARCHAR,
"town_name" VARCHAR,
"currency_policy" VARCHAR,
"currency_exchange_coverage_rate" DOUBLE,
"currency" VARCHAR,
"partner_id" DOUBLE,
"posted_time" VARCHAR,
"planned_expiration_time" VARCHAR,
"disburse_time" VARCHAR,
"raised_time" VARCHAR,
"lender_term" DOUBLE,
"num_lenders_total" BIGINT,
"num_journal_entries" BIGINT,
"num_bulk_entries" BIGINT,
"tags" VARCHAR,
"borrower_genders" VARCHAR,
"borrower_pictured" VARCHAR,
"repayment_interval" VARCHAR,
"distribution_model" VARCHAR
);CREATE TABLE loans_lenders (
"loan_id" BIGINT,
"lenders" VARCHAR
);CREATE TABLE locations (
"address_components" VARCHAR,
"formatted_address" VARCHAR,
"geometry_bounds_northeast_lat" DOUBLE,
"geometry_bounds_northeast_lng" DOUBLE,
"geometry_bounds_southwest_lat" DOUBLE,
"geometry_bounds_southwest_lng" DOUBLE,
"geometry_location_lat" DOUBLE,
"geometry_location_lng" DOUBLE,
"geometry_location_type" VARCHAR,
"geometry_viewport_northeast_lat" DOUBLE,
"geometry_viewport_northeast_lng" DOUBLE,
"geometry_viewport_southwest_lat" DOUBLE,
"geometry_viewport_southwest_lng" DOUBLE,
"location_name" VARCHAR,
"partial_match" VARCHAR,
"place_id" VARCHAR,
"types" VARCHAR
);Anyone who has the link will be able to view this.