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Week 3 AICP Internship tasks using Matplotlib and Seaborn to create visualizations for datasets, including bar charts, scatter plots, and histograms.

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AICP Internship – Week 3: Data Visualization with Matplotlib

This repository contains solutions to data visualization exercises completed as part of the Artificial Intelligence Community of Pakistan (AICP) internship program.


Task Overview

The goal of this week's exercises was to practice creating various types of charts using Matplotlib and Pandas.
The tasks covered line plots, bar charts, pie charts, and scatter plots with different styles, labels, legends, and datasets.


Exercises

Q1: Basic Line Plot

Draw a line using given axis values, add labels to the X and Y axes, and include a title.


Q2: Multiple Lines with Legends

Plot two or more lines with:

  • Legends for each line
  • Different line widths
  • Different colors

Q3: Multiple Lines with Markers

Plot two or more lines and set line markers for each data point.


Q4: Horizontal Bar Chart – Programming Language Popularity

Data:

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Week 3 AICP Internship tasks using Matplotlib and Seaborn to create visualizations for datasets, including bar charts, scatter plots, and histograms.

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