https://github.com/ronitjariwala/-prodigy_ds_01
Prodigy InfoTech Data Science Internship Task-1
https://github.com/ronitjariwala/-prodigy_ds_01
matplotlib numpy pandas python seaborn
Last synced: 3 months ago
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Prodigy InfoTech Data Science Internship Task-1
- Host: GitHub
- URL: https://github.com/ronitjariwala/-prodigy_ds_01
- Owner: RonitJariwala
- Created: 2024-07-27T17:01:01.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-27T17:03:12.000Z (almost 2 years ago)
- Last Synced: 2025-06-02T12:30:35.464Z (about 1 year ago)
- Topics: matplotlib, numpy, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 104 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Prodigy InfoTech Internship: Data Analysis Insights
Welcome to the Prodigy InfoTech Internship repository! This repository documents are for Task 1 of my internship journey, focusing on data cleaning, analysis, and uncovering insightful patterns.
## Task Overview
Create a bar chart or histogram to visualize the distribution of a categorical or continuous variable, such as the disctribution of ages or genders in a population.
## Knowledge Gained
Task 1 improved my ability to create visualizations like bar charts and histograms to display the distribution of categorical or continuous variables, facilitating clearer insights into population demographics or other datasets.
## Connect with Me
Feel free to explore the repository, provide feedback, or connect with me for further discussions on data science, internship experiences, or any related topics. Let's learn and grow together!
## Contact Information
For any inquiries or collaborations, feel free to reach out:
- Email: [ronit.jariwala15@gmail.com](mailto:ronit.jariwala15@gmail.com)
- LinkedIn: [Ronit Jariwala](https://www.linkedin.com/in/ronit-jariwala/)