EDA Analysis of The Wine Reviews Data with Python
Doing EDA on a Wine-reviews Dataset from kaggle
Kaggle Dataset Link: https://www.kaggle.com/zynicide/wine-reviews
Content:
This dataset contains three files:
winemag-data-130k-v2.csv contains 10 columns and 130k rows of wine reviews.
winemag-data_first150k.csv contains 10 columns and 150k rows of wine reviews.
winemag-data-130k-v2.json contains 6919 nodes of wine reviews.
Getting Useful Insights from the Dataset : Performed EDA analysis and found out the following insights: 1.Top 10 Rated Wine according to the rating in Wine Reviews Data. 2.Top 10 most expensive wines according to the rating in Wine Reviews Data. 3.Top 10 Cheapest wines according to the rating in Wine Reviews Data. Performed Data Visualisation using Seaborn and Matplotlib Libraries and got the following insights: 1. Distribution of Category using pair plot graph. 2. Found out the Relationship between alcohol and Rating using a Regression Plot. 3. Find out the Relationship between Rating and Price using a Scatter Plot. 