https://github.com/anas436/pie-charts-box-plots-scatter-plots-and-bubble-plots-using-python
https://github.com/anas436/pie-charts-box-plots-scatter-plots-and-bubble-plots-using-python
jupyterlab matplotlib matplotlib-pyplot numpy pandas python3
Last synced: 8 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/anas436/pie-charts-box-plots-scatter-plots-and-bubble-plots-using-python
- Owner: Anas436
- Created: 2022-07-19T17:28:50.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-07-19T17:44:42.000Z (over 3 years ago)
- Last Synced: 2025-02-01T15:30:36.804Z (10 months ago)
- Topics: jupyterlab, matplotlib, matplotlib-pyplot, numpy, pandas, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 599 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Pie-Charts-Box-Plots-Scatter-Plots-and-Bubble-Plots-Using-Python
__After completing this lab you will be able to:__
* Explore Matplotlib library further
* Create pie charts, box plots, scatter plots and bubble charts
### Table of Contents
1. [Exploring Datasets with *p*andas](#0)
2. [Downloading and Prepping Data](#2)
3. [Visualizing Data using Matplotlib](#4)
4. [Pie Charts](#6)
5. [Box Plots](#8)
6. [Scatter Plots](#10)
7. [Bubble Plots](#12)
### Exploring Datasets with *pandas* and Matplotlib
Toolkits: The course heavily relies on [*pandas*](http://pandas.pydata.org/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2022-01-01) and [**Numpy**](http://www.numpy.org/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2022-01-01) for data wrangling, analysis, and visualization. The primary plotting library we will explore in the course is [Matplotlib](http://matplotlib.org/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2022-01-01).
Dataset: Immigration to Canada from 1980 to 2013 - [International migration flows to and from selected countries - The 2015 revision](http://www.un.org/en/development/desa/population/migration/data/empirical2/migrationflows.shtml?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2022-01-01) from United Nation's website.
The dataset contains annual data on the flows of international migrants as recorded by the countries of destination. The data presents both inflows and outflows according to the place of birth, citizenship or place of previous / next residence both for foreigners and nationals. In this lab, we will focus on the Canadian Immigration data.