Project - Page 2 of 2

Naveen Pandey
September 3, 2022December 12, 2024

Uber Data Analysis Project using Python

Uber is a company based in San Francisco that handles over 118 million users and 5 million drivers, making it the perfect app for you to hire a ride. Additionally, they process an average of 17.4 million trips with over 6 billion rides completed every day. You can download the dataset used in this project…

Naveen Pandey
August 31, 2022December 12, 2024

Sales Analysis Project using Python

In this post, I use Python, Pandas & Matplotlib to analyze and answer business questions about 12 months worth of sales data. The data contains hundreds of thousands of electronics store purchases broken down by month, product type, cost, purchase address, etc. The dataset can be downloaded here. In this analysis, I’m using jupyter notebook. First,…

Naveen Pandey
August 28, 2022December 12, 2024

Zomato Data Analysis Project using Python

Zomato is one of the most useful apps for foodies who want to taste the best cuisines of every part of the world. They lie in your budget. This article is directed towards those who want to find affordable restaurants in different parts of the country and explore a variety of cuisines. We analyzed the…

Naveen Pandey
August 24, 2022December 12, 2024

Netflix Data Analysis Project using Python

Netflix is one of the most popular streaming services in the world, with a massive subscriber base. In this article we’re going to explore how data scientists can use Python to analyze Netflix data from various perspectives: how you watch Netflix and what you do once it finishes. As we have already worked with Jupyter…

Naveen Pandey
August 21, 2022December 12, 2024

Spotify Data Analysis Project using Python

Data analysis is an important field in business, research and many other areas. Among the many uses of this data, there are helping to make decisions and publish research papers. The weather can also be predicted based on data analysis too. You’ll learn how to perform exploratory data analysis by analyzing musical-related data sets within…