Task 01: Data Visualization – Bar Chart / Histogram

This project is part of a data visualization task that involves using Python to create either a bar chart or a histogram to represent the distribution of a variable (categorical or continuous).

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📊 Objective

• Visualize the distribution of categorical or continuous data using bar charts or histograms.
• Example variables:
  • Gender (categorical) – use bar chart.
  • Age (continuous) – use histogram.

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📁 Files Included

• gender_bar_chart.ipynb: A Jupyter Notebook to visualize gender distribution using a bar chart.
• age_histogram.ipynb: A Jupyter Notebook to visualize age distribution using a histogram.
• README.md: Project description and instructions.

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📌 How to Run

Option 1: Using Google Colab

1. Open any .ipynb file via Google Colab.
2. Run the code cells to see the visualizations.

Option 2: Using Jupyter Notebook

1. Clone the repository:

   git clone https://github.com/your-username/Data-Visualization-Task.git
   cd Data-Visualization-Task

2. Open the notebook in Jupyter:

   jupyter notebook gender_bar_chart.ipynb

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🛠️ Tools Used

• Python
• pandas
• matplotlib

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📷 Example Output

Gender Bar Chart

A vertical bar chart showing count of each gender in the dataset.

Age Histogram

A histogram showing frequency distribution of ages divided into bins.

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📬 Contact

For any questions or suggestions, feel free to reach out!