18. Choropleth Maps | Data Visualization with Python | Tech2Teach

In this video, we will learn how to create a special type of map called
choropleth map with Folium. I'm sure that most of you have seen maps similar to
this one and this one. These are what we call choropleth maps. So what is a
choropleth map? A choropleth map is a thematic map in which areas are shaded
or patterned in proportion to the measurement of the statistical variable
being displayed on the map, such as population density or per capita income.
The higher the measurement the darker the color. The map to the left is a
choropleth map of the world showing infant mortality rate per 1000 births.
The darker the color the higher the infant mortality rate. According to the
map, African countries have very high infant mortality rates with some of them
reporting a rate that is higher than 160 per 1000 births.
Similarly, the map to the right is a choropleth map of the US showing
population per square mile by state. Again the darker the color the higher
the population. According to the map, states in the eastern part of the US
tend to be more populous than states in the western part, with California being
an exception. In order to create a choropleth map of a region of interest,

A choropleth map is a type of thematic map in which areas are shaded or patterned in proportion to a statistical variable that represents an aggregate summary of a geographic characteristic within each area, such as population density or per-capita income.
In this tutorial on python for data science, you will learn about how to create geographic maps in python. how to create choropleth maps using plotly in python using jupyter notebook. what is choropleth maps and point maps.

This is the 38th Video of Python for Data Science Course! In This series I will explain to you Python and Data Science all the time! It is a deep rooted fact, Python is the best programming language for data analysis because of its libraries for manipulating, storing, and gaining understanding from data. Watch this video to learn about the language that make Python the data science powerhouse. Jupyter Notebooks have become very popular in the last few years, and for good reason. They allow you to create and share documents that contain live code, equations, visualizations and markdown text. This can all be run from directly in the browser. It is an essential tool to learn if you are getting started in Data Science, but will also have tons of benefits outside of that field. Harvard Business Review named data scientist "the sexiest job of the 21st century." Python pandas is a commonly-used tool in the industry to easily and professionally clean, analyze, and visualize data of varying sizes and types. We'll learn how to use pandas, Scipy, Sci-kit learn and matplotlib tools to extract meaningful insights and recommendations from real-world datasets.

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