Data Analysis Project -- Indian Start-up Funding Analysis

Project Intro/Objective

The purpose of this project is to gather facts before venturing into the Indian Start-up market and provide insights.

Summary

Code	Name	Published Article	Deployed App
LP1	Data Analysis	Indian Start-up Funding Analysis	Indian Start-up Funding Analysis

Project Description

In order to conduct our analysis, we collected data on start-ups spanning from 2018 to 2021. We then proceeded to clean and examine this data as separate sets before consolidating them into a single dataset. While exploring the data, we identified certain issues that needed to be addressed. While cleaning the data, we encountered several issues that required attention, including the presence of multiple currencies such as Rupees and Dollars, missing values, and misplaced values. To better understand our findings, we utilized the Matplotlib and Seaborn library to create various graphs and visualizations. These helped us to present our results in a clear and concise manner.

Methods Used

• Exploratory Data Analysis (EDA)
• Univariate Data Analysis
• Multi Variate Data Analysis
• Data Visualization

Technologies

• Python
  • Numpy
  • Pandas
  • Jupyter Notebook
  • Matplotlib.pyplot
  • Seaborn

Setup

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App Execution

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Author

Aryee Kwaku Geoffrey