https://github.com/debjyotisaha/data-analytics-projects-phase-1
A set of projects on Data Analysis using Python and its libraries
https://github.com/debjyotisaha/data-analytics-projects-phase-1
matplotlib numpy pandas python seaborn sklearn streamlit
Last synced: 2 months ago
JSON representation
A set of projects on Data Analysis using Python and its libraries
- Host: GitHub
- URL: https://github.com/debjyotisaha/data-analytics-projects-phase-1
- Owner: DebjyotiSaha
- Created: 2021-04-30T09:32:14.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2024-11-20T06:40:19.000Z (over 1 year ago)
- Last Synced: 2025-02-10T00:29:07.160Z (over 1 year ago)
- Topics: matplotlib, numpy, pandas, python, seaborn, sklearn, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 15.9 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Data Analytics Projects - Phase 1
Welcome to the **Data Analytics Projects - Phase 1** repository! This repository includes several data analytics projects showcasing different techniques such as exploratory data analysis (EDA), visualization, time series analysis, and more. Each project uses popular Python libraries like Pandas, NumPy, Matplotlib, Seaborn, and others.
## Projects Overview
1. **Text Data Analysis**
Analyzing and extracting insights from textual data using Natural Language Processing techniques.
2. **Sales Data Analysis**
Exploration and analysis of sales data to uncover patterns and trends.
3. **Time Series Analysis**
Using time series data for forecasting and trend analysis.
4. **IPL Data Analysis**
In-depth analysis of the Indian Premier League dataset, exploring player performance, match statistics, etc.
5. **Geo-Spatial Analysis**
Performing geospatial data analysis to map and analyze data points geographically.
6. **Finance Data Analysis**
Analyzing financial datasets to derive insights on market trends and investment strategies.
7. **Amazon Customer Analysis**
In-depth analysis of customer data from Amazon to understand customer behavior.
8. **Global Warming Temperature Analysis**
Investigating global temperature changes over time to assess climate change.
## Getting Started
### Prerequisites
Before you begin, ensure that you have the following Python libraries installed:
- `NumPy`
- `Pandas`
- `Matplotlib`
- `Seaborn`
- `Sklearn`
- `Cufflinks`
- `Streamlit`
### Datasets
The datasets used in this repository are available via the following links:
- [Dataset Link](https://drive.google.com/drive/folders/1jsOpULxHY470PiTDMB-slZE8C0hpPQSj?usp=sharing)
- [Amazon Customer Database on Kaggle](https://www.kaggle.com/debjyotisaha/amazon-customer-database)
- [Global Warming Data on Kaggle](https://www.kaggle.com/debjyotisaha/global-warming-analysis)
## Usage
Each project is contained within its own folder. You can explore them by running the respective Jupyter notebooks. Follow the instructions inside each folder to run the analysis.
## Contributing
Feel free to fork the repository and submit pull requests for improvements, fixes, or suggestions!