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PROJECT
Netflix Data Analysis Using Danfo.js
Learn to apply the basic concepts of data analysis using the JavaScript library, Danfo.js. We’ll apply multiple statistical analysis techniques used in exploratory data analysis like handling missing data, feature engineering, and data visualization.
You will learn to:
Perform feature engineering on a dataset.
Handle missing data.
Perform statistical analysis on a dataset.
Use different plotting techniques to visualize a dataset.
Skills
Data Visualization
Data Statistics
Data Cleaning
Data Extraction
Data Manipulation
Data Science
Data Plotting
Prerequisites
Good understanding of JavaScript
Basic understanding of Danfo.js library
Good understanding of Node.js
Technologies
Danfo.js
JavaScript
Project Description
In this project, we’ll apply basic data analysis concepts using the Danfo.js library. Danfo.js is an open-source JavaScript library that provides high-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data.
It has a similar interface and API to pandas, commonly used in Python data manipulation. This means users familiar with pandas can easily use Danfo.js.
In this project, we’ll perform exploratory data analysis on the provided dataset, including handling missing data, feature engineering, statistical analysis, and data visualization. We’ll use the Netflix Movies and TV Shows dataset which is publicly available on this link.
Project Tasks
1
Get Started
Task 0: Initial Setup
Task 1: Display the Dataset
2
Missing Data
Task 2: Display Columns with Null Values
Task 3: Handling Missing Values
3
Statistical Analysis
Task 4: Feature Generation
Task 5: Plot Types of Content
Task 6: Display the Content Growth
Task 7: Fetch Oldest Content
Task 8: Plot the Content Duration
Task 9: Plot the Ratings of the Content
Congratulations!
Relevant Courses
Use the following content to review prerequisites or explore specific concepts in detail.