Waffle-Charts-Word-Clouds-and-Regression-Plots-Using-Python

Objectives

After completing this lab you will be able to:

• Create Word cloud and Waffle charts.
• Create regression plots with Seaborn library.

Table of Contents

1. Exploring Datasets with pandas
   
2. Downloading and Prepping Data
   
3. Visualizing Data using Matplotlib
   
4. Waffle Charts
   
5. Word Clouds
   
6. Regression Plots
   

Exploring Datasets with pandas and Matplotlib

Toolkits: The course heavily relies on pandas and Numpy for data wrangling, analysis, and visualization. The primary plotting library we will explore in the course is Matplotlib.

Dataset: Immigration to Canada from 1980 to 2013 - International migration flows to and from selected countries - The 2015 revision 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.