https://github.com/anmolsonthalia/analytics_project
The project attempts to lists the basic use of Data Analytics with different frameworks to show visualization and prediction to show the expectation of data in different sector.
https://github.com/anmolsonthalia/analytics_project
data-visualization dataanalysis dataanalytics eda
Last synced: about 1 year ago
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The project attempts to lists the basic use of Data Analytics with different frameworks to show visualization and prediction to show the expectation of data in different sector.
- Host: GitHub
- URL: https://github.com/anmolsonthalia/analytics_project
- Owner: anmolsonthalia
- License: mit
- Created: 2024-02-12T08:49:46.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-02T09:31:49.000Z (about 2 years ago)
- Last Synced: 2025-01-31T13:14:23.066Z (over 1 year ago)
- Topics: data-visualization, dataanalysis, dataanalytics, eda
- Language: Jupyter Notebook
- Homepage:
- Size: 4.13 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 🚀 **Data Analytics Showcase**
Welcome to the Data Analytics Showcase, a repository where I've unleashed the power of data to uncover insights! In this project, I've explored different projects. Using Data Analytics tools, I've transformed raw data into meaningful visualizations and actionable findings.
**Key Features:**
- 📊 **Visualizations:** Dive into compelling charts and graphs that illustrate the story hidden within the data.
- 🧹 **Data Cleaning:** Witness the meticulous process of cleaning and preprocessing data for accurate analysis.
- 📝 **Documentation:** Explore well-documented code, guiding you through the analysis step by step.
- 💻 **Codebase:** A clean and organized codebase, utilizing best practices for clarity and maintainability.
**How to Use:**
1. Clone the repository.
2. Follow the setup instructions in the README to recreate the analysis locally.
3. Explore the Collab or Jupyter Notebook to understand the analytical process.
Feel free to fork, contribute, or use this project as a reference for your data adventures! Let's unlock the potential within the numbers together. 📈✨