Yes, some columns on russian.But its more interesting guys) If you wanna ask smth you could write to me)

In this dataset you can do everything. But the main task is a question: How to built a model to predict quality od describtion of product. You can make new features, Good Luck))))

Tables

Pjs Avito 1

@kaggle.markusdarkus_parajumpers_products_in_moscow.pjs_avito_1

29.65 KB
30 rows
10 columns


CREATE TABLE pjs_avito_1 (
  "web_scraper_order" VARCHAR,
  "web_scraper_start_url" VARCHAR,
  "name" VARCHAR,
  "price" VARCHAR,
  "desc" VARCHAR,
  "rating" DOUBLE,
  "otz" VARCHAR,
  "views" VARCHAR,
  "product_n" VARCHAR,
  "product_n_href" VARCHAR
);

Pjs Avito 2

@kaggle.markusdarkus_parajumpers_products_in_moscow.pjs_avito_2

30.56 KB
30 rows
10 columns


CREATE TABLE pjs_avito_2 (
  "web_scraper_order" VARCHAR,
  "web_scraper_start_url" VARCHAR,
  "name" VARCHAR,
  "price" VARCHAR,
  "desc" VARCHAR,
  "rating" BIGINT,
  "otz" VARCHAR,
  "views" VARCHAR,
  "product_n" VARCHAR,
  "product_n_href" VARCHAR
);

Pjs Avito 3

@kaggle.markusdarkus_parajumpers_products_in_moscow.pjs_avito_3

10.32 KB
2 rows
10 columns


CREATE TABLE pjs_avito_3 (
  "web_scraper_order" VARCHAR,
  "web_scraper_start_url" VARCHAR,
  "name" VARCHAR,
  "price" VARCHAR,
  "desc" VARCHAR,
  "rating" BIGINT,
  "otz" VARCHAR,
  "views" VARCHAR,
  "product_n" VARCHAR,
  "product_n_href" VARCHAR
);

Pjs Avito 4

@kaggle.markusdarkus_parajumpers_products_in_moscow.pjs_avito_4

49.44 KB
88 rows
7 columns


CREATE TABLE pjs_avito_4 (
  "name" VARCHAR,
  "price" BIGINT,
  "desc" VARCHAR,
  "rating" DOUBLE,
  "otz" VARCHAR,
  "views" VARCHAR,
  "product_n" VARCHAR
);

Pjs Avito 5

@kaggle.markusdarkus_parajumpers_products_in_moscow.pjs_avito_5

57.22 KB
88 rows
10 columns


CREATE TABLE pjs_avito_5 (
  "web_scraper_order" VARCHAR,
  "web_scraper_start_url" VARCHAR,
  "name" VARCHAR,
  "price" VARCHAR,
  "desc" VARCHAR,
  "rating" DOUBLE,
  "otz" VARCHAR,
  "views" VARCHAR,
  "product_n" VARCHAR,
  "product_n_href" VARCHAR
);