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DataVisualizationWithPython
Contents
Chapter1IntroductiontoDataVisualizationTools..................................................................3
1.1.IntroductiontoDataVisualization.................................................................................7
1.2.IntroductiontoMatplotlib...........................................................................................11
1.3.BasicPlottingwithMatplotlib......................................................................................14
1.4.DatasetonImmigrationtoCanada..............................................................................18
1.5.LinePlots......................................................................................................................19
Quiz:Introduction toDataVisualization
T
ools
....................................................21
Chapter2BasicandSpecializedVisualizationTools...............................................................23
A.BasicVisualizationTools..............................................................................................23
2.1.AreaPlots.....................................................................................................................23
2.2.Histograms....................................................................................................................26
2.3.BarCharts.....................................................................................................................29
Quiz:
BasicVisualization
T
ools
..................................................................................31
B.SpecializedVisualizationTools.....................................................................................33
2.4.PieCharts......................................................................................................................33
2.5.BoxPlots.......................................................................................................................35
2.6.ScatterPlots..................................................................................................................37
Quiz:
SpecializedVisualizationT
ools
.......................................................................38
Chapter3AdvancedVisualizationsandGeos patialData........................................................41
A.AdvancedVisualizationTools.......................................................................................42
3.1.WaffleCharts................................................................................................................42
3.2.WordClouds.................................................................................................................43
3.3.SeabornandRegressionPlots......................................................................................43
Quiz:
AdvancedVisualization
T
ools
..........................................................................45
B.VisualizingGeospatialData..........................................................................................48
3.4.IntroductiontoFolium.................................................................................................48
3.5.MapswithMarkers.......................................................................................................49
3.6.ChoroplethMaps..........................................................................................................51
Quiz:
VisualizingGeospatialData
.............................................................................54
Chapter1IntroductiontoDataVisualizationTools
In this module, you will learn about data visualization and some of the best practices
when creating plots and visuals. You will also learn about the history and the
architecture of Matplotlib and learn about basic plotting with Matplotlib. In addition,
you will learn about the dataset on immigration to Canada, which will be used
extensively throughout this course. Finally, you will briefly learn how to read csv files
into a pandas dataframe and process and manipulate the data in the dataframe, and how
to generate line plots using Matplotlib.
Learning Goals
1. Learn about data visualization and some of the best practices when creating plots and
visuals.
2. Learn about the history and the architecture of Matplotlib.
3. Learn about basic plotting with Matplotlib.
4. Learn about the dataset on immigration to Canada, which will be used extensively
throughout this course.
5. Briefly learn how to read csv files into a pandas dataframe and process and manipulate
the data in the dataframe.
6. Learn how to generate line plots using Matplotlib.
Welcome to data visualization with Python. In this course we are going to learn how to create
meaningful, effective, and aesthetically pleasing data visuals and plots in python using Matplotlib
and a couple of other libraries namely Seaborn and Folium.
This course will consist of three modules.
In module 1, we will briefly discuss data visualization and some of the best practices when
creating data visuals. We will then learn about Matplotlib, including its history, architecture, and
the three layers that form its architecture. We will also learn about the data set that we will use
throughout this course as well as the hands-on sessions. We will essentially be working with a data
set that was created by the United Nations on immigration from different countries to Canada
from 1980 to 2013. Then we will start learning how to use Matplotlib to create plots and visuals,
and we will start with line plots.
A meaningful, effective, and aesthetically pleasing data visuals
the data set that we will use throughout this course
line plots
We will generate the majority of our plots and visualizations using data stored
in pandas dataframes. Pandas is a python library for data manipulation and analysis. So before we
start building visualizations and plots, we will take a brief crash course on pandas and learn how
to use it to read data from csv files into what is called a pandas dataframe.
In module 2, we will continue on with a few more basic data visualizations such as area plots,
histograms, and bar charts, and learn how to use Matplotlib to create them and even create
different versions of these plots.
area plots
histograms
bar charts
We will also cover a set of specialized visualizations such as pie charts, box plots, scatter
plots, and bubble plots, and we will learn how to create them using Matplotlib.
pie charts box plots
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