In this project , I played with the YouTube data API and extracted trending videos in Nigeria on a particular day.
This project was inspired by a dataset I saw on kaggle and the aim was to get the data into an unstructured format, clean it, model it to a point that can be used for analysis and then understanding which videos did well and why, In this project I was able to showcase my:
- Ability to source for data ( from a public API)
- Data cleaning skills using Pandas and Numpy
- Data modeling using Pandas
- Data visualisation using Matplotlib and Seaborn
For the Data Cleaning/Wrangling, I was able to use Regular Expressions for certain columns i.e the Video Durations
For the Exploratory Data analysis, I asked certain questions before starting the analysis. They were:
- How many channels belong to the entertainment,sport or comedy categories
- How many views per video categories
- Which category had the most accolades
- Which category generated the most interactions
- Which channels had the most views
- Which channels appeared the most on the trending video list.