Data-cleaning-and-EDA

This project consists of data cleaning and exploratory data analysis using python on a dataset containing data about youtube videos from various countries.

Dataset link : https://www.kaggle.com/datasnaek/youtube-new

Libraries used : 1.Pandas 2.Numpy 3.seaborn 4.matplotlib

Cleaning :

1. Corrected datatypes for various attributes.
2. Checked for missing values
3. Fixed date and time formats

EDA:

1. Ratio of likes and dislikes between various categories of videos.
2. User preferences based on categories.
3. Trending videos in each country
4. Relationship between likes and whether or not a video is trending.
5. Maximum number of days taken for a video to become trending.
6. User comments based on category.
7. Frequently occurring words in tags and description of videos.
8. Correlation between likes,dislikes,views and comments.