Textbook/Notes

In this video I provide a quick introduction to the mini course.

Here we introduce matplotlib's Figure class, the basis for all matplotlib graphs.

Could you tell me how to make a scatter plot in matplotlib?

Bar charts and box plots and histograms. Oh my!

All Rectangles may be Patches in matplotlib, but not all Patches are Rectangles.

How to save your Figures to a file so you don't lose them.

What data structures does seaborn like? How can we take advantage of those structures?

How to make plots that look at empirical distributions in seaborn.

How does seaborn make the error bars and confidence intervals it sometimes displays?

In this video we introduce the bokeh Python package.

How to adjust the aesthetics of non-graphical elements in bokeh plots.

We have made all these wonderful bokeh plots, how can we save them?

plotly's basic plotting object.

A few chart types that we have not seen in any of our packages up to this point.

How can we save all of our wonderful plotly Figures?

We introduce the section of the mini course dedicated to web browser based visualizations.

Different attributes of the HTML elements.

Sometimes its what's on the outside that counts.

Follow the path

Sometimes we will want to start a local server to run our HTML documents.

Some data types and how to make variables in JavaScript.

How to actually use the data in your data to alter HTML elements

Throwing bar and line charts in the mix.

If you like your graphs so much you should put a label on it.

Adding transitions to your d3.js plots.

How to interact with buttons using d3.js

Welcome to the world of Tableau brought to you by Salesforce.

Everybody work work work work workbook.

How to make line charts in Tableau.

How to make unit charts and bubble charts in Tableau.

Making tables in Tableau.

Filtering data and the order of operations in Tableau.

Making a dashboard out of your visualizations in Tableau.

What do you do now to grow in Tableau?

In this video we discuss what we will cover in the Python portion of our mini course.

What goes on a Figure object? Why Axes objects of course.

This Axes IS big enough for the two of us.

Things are heating up with this one... We learn how to make heatmaps.

Making Figures with subplots in matplotlib.

So what now? Here we discuss some tips for how you could learn more matplotlib.

The two levels of seaborn plotting functions.

Making categorical plots in seaborn.

We learn how to adjust non-graphical elements of plots made with seaborn.

Making static plots with the help of the bokeh package.

Let's get a little interactive with bokeh.

bokeh, what now?

plotly.express is to plotly as seaborn is to matplotlib.

Editing the hover effects of our plotly graphs.

We make a simple dashboard using plotly and dash.

We introduce the HTML "programming language".

Straight up Stylin.

Are those vector graphics to scale?

Grouping your SVG elements together.

Adding JavaScript to your HTML documents.

Binding data to HTML elements.

Making scatter plots with d3.js

Using groups to maintain a sense of order.

How to add data based color to d3.js plots.

Updating d3.js elements on user interactions.

Filtering through data.

Getting you all set up with a Tableau Public account and the Tableau Public Desktop app.

How does Tableau handle data?

How to make bar charts and point plots in Tableau.

How to make pie charts and tree maps in Tableau.

Map-based visualizations in Tableau.

Editing all of the non-plot elements of our Tableau visualizations.

Tableau's version of powerpoint presentations.

We introduce our matplotlib subsection.

We learn about the go-to plotting function in matplotlib, plt.plot.

omg, lol, ttyl, no wait not that kind of text. We're adding strings onto our Axes in this one friends.

Pie charts in matplotlib.

In our longest (sorry everyone!) matplotlib lecture we cover how to change the appearance of non-graphical plot elements.

An introduction to the seaborn package.

How to make relational plots in seaborn.

Making pairplots and jointplots in seaborn.

What should we do now?

What kinds of data can bokeh take in? What does it do with that data?

Showing how we can use JavaScript to add more advanced interactivity in bokeh.

We introduce our final Python visualization package, plotly.

We have learned how to make a number of graphs up to this point, how do we make them with plotly?

How can we change the layout part of our plotly Figures.

How can I learn more about plotly?

What are the different things we can add into our HTML pages?

What styles are all the rage these days?

Circles, Rectangles, Text, wow!

We introduce data driven documents.

A review of some basic JavaScript Syntax

Loading data with d3.js

Step onto the scale.

How to add axes and grid lines to your d3.js figures.

Changing the color and tooltips on hover.

How to remove elements with d3.js.

What are some next steps for learning more about web browser based visualizations.

A short introduction into the Tableau Public application.

Our first chart type in Tableau.

How to make histograms and box-and-whisker plots in Tableau.

What is a Gantt chart and how do we make it in Tableau?

Calculated fields in Tableau.

Adding and editing basic interactions in Tableau.

How to publish all of your wonderful work in Tableau.