Name: Wine Tasting
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Wine Tasting

Dataset containing ~130k wine reviews published to WineEnthusiast, including taster name, wine price, variety, score, country, county, vineyard, etc.

Recommended Analysis

Which province has the highest average price? How about of those with at least 10 wines?

Does the number of points predict the price of the wine? If so, how strong is the correlation?

Dig into reviewer-level trends. Do reviewers tend to specialize in one or two provinces? Do they specialize in certain varieties?

Dig into the 'description' column. What are some of the most common terms used in positive reviews? Negative reviews?

Tables

Winemag Data 130k V2

@kaggle.mysarahmadbhat_wine_tasting.winemag_data_130k_v2

25.52 MB
129,971 rows
14 columns

CREATE TABLE winemag_data_130k_v2 (
  "id" BIGINT,
  "country" VARCHAR,
  "description" VARCHAR,
  "designation" VARCHAR,
  "points" BIGINT,
  "price" DOUBLE,
  "province" VARCHAR,
  "region_1" VARCHAR,
  "region_2" VARCHAR,
  "taster_name" VARCHAR,
  "taster_twitter_handle" VARCHAR,
  "title" VARCHAR,
  "variety" VARCHAR,
  "winery" VARCHAR
);