Dataset: User's Age By Expenses

About this Dataset

User's Age By Expenses

Context

This dataset was released as part of the Russian open competition held by Sberbank and Educational Center Sirius.

Content

Files contain information about users' expenses in 204 different spheres. Also, you are provided with information about users' age. Age presented in 3 groups: young, adult, old. I suppose that such grouping was due to possible privacy issues.

Acknowledgements

This is a project just for training and studying.

Inspiration

Is it possible to predict an age by this data?

Tables

Small Group Description

@kaggle.aleksandrdremov_sberbank_users_expenses.small_group_description

8.66 KB
204 rows
2 columns


CREATE TABLE small_group_description (
  "small_group" VARCHAR,
  "small_group_code" BIGINT
);

Test

@kaggle.aleksandrdremov_sberbank_users_expenses.test

122.74 KB
20000 rows
3 columns


CREATE TABLE test (
  "cl" BIGINT,
  "ent" VARCHAR,
  "d" VARCHAR
);

Train Target

@kaggle.aleksandrdremov_sberbank_users_expenses.train_target

189.88 KB
30000 rows
2 columns


CREATE TABLE train_target (
  "client_id" BIGINT,
  "bins" BIGINT
);

Transactions Test

@kaggle.aleksandrdremov_sberbank_users_expenses.transactions_test

103.55 MB
17667328 rows
4 columns


CREATE TABLE transactions_test (
  "client_id" BIGINT,
  "trans_date" BIGINT,
  "small_group" BIGINT,
  "amount_rur" DOUBLE
);

Transactions Train

@kaggle.aleksandrdremov_sberbank_users_expenses.transactions_train

156.09 MB
26450577 rows
4 columns


CREATE TABLE transactions_train (
  "client_id" BIGINT,
  "trans_date" BIGINT,
  "small_group" BIGINT,
  "amount_rur" DOUBLE
);