Learn the New Tableau Set Control (Workout Wednesday 2020 Week 20 Solution)

Tableau 2020.2 introduced a handy new feature called set control. According to Tableau:

“The set control allows users to dynamically change the members of a set using a familiar, quick filter-like interface. End users can change set membership with both a single and multi-select dropdown, and the set control automatically refreshes its domain so that the data stays fresh.”

As with all new features I had to figure out what this new capability entailed and how best to learn it. Luckily, the hardworking crew over at Workout Wednesday had the perfect challenge.

Sean Miller (@HipsterVizNinja) created a dashboard that enables the user to select a US state, which then adds that state to a set. Three proportional bar charts update at the top of the viz. A right side bar area displays all of the selected states and selecting a state will remove the state from the set, side bar and the map.

Observe the following gif from my solution:

WOW 2020 Wk 20 GIF

  1. Take a look at the challenge here.
  2. Attempt to re-create the dashboard.
  3. If you give up, (or after you complete your solution), take a look at how I approached the dashboard in this solution video, or take a look at the Tableau Public interactive version here.
  4. Don’t just recopy the steps from my solution and post a viz to LinkedIn and/or Tableau Public. You’re better than that, but if you do, make sure to definitely credit Sean Miller and optionally credit me if you used my solution.

Remember, this is just my solution, there are multiple ways to solve any problem.

This was the first Workout Wednesday challenge that I’ve ever done and I’m sure I’ll tackle a few more.

Do some great things with your data!

As always, If you find this type of instruction valuable make sure to subscribe to my Youtube channel.

All views and opinions are solely my own and do NOT necessarily reflect those my employer.

Anthony B. Smoak

Build a Tableau COVID-19 Dashboard

I hope everyone is safe and staying indoors during this challenging time. Like most of you, I find myself with an abundance of weekend time to spend indoors. I’ve used some of this time crafting a dashboard series leveraging the outstanding COVID-19 data hub provided by Tableau.

I did not expect the series to be as popular as it turned out to be, but it is one of my most viewed lessons on YouTube!

Tableau COVID Dashboard GIF

In this set of videos you will learn how to use Tableau and the Johns Hopkins data set which tracks COVID-19 cases across the globe, to assemble a dashboard. The great part about this dashboard is that it can be put together without reliance on overly complex calculations or the need to be a graphic designer, and it looks amazing if I do say so myself.

This dashboard utilizes the Tableau pages functionality to enable animation; as dates change the dashboard updates to reflect the current number of confirmed cases and deaths at that point in time.

Another cool trick is the use of containers to swap visualizations on the same dashboard. I use this functionality to switch between a linear and logarithmic scale for confirmed cases and deaths. You will need at least Tableau 2019.2 to use the sheet swapping functionality.

The first video provides an overview of the Tableau data-set and touches upon the visualizations required to build out the dashboard.

 

By popular demand, the second video goes more in-depth on the formatting and color scheme of each of the visualizations.

 

In my opinion the best part of the series is the 3rd video. I spend a full 93 minutes demonstrating various topics on dashboard refinement.

  1. Eliminating the hard-coding and manual sorts using a level of detail calculated field
  2. Detailed formatting with containers (applicable to all dashboards)
  3. Tableau sheet swapping using containers
  4. Making a Tableau Data Connection

 

When you get through with the first three videos you can opt for bonus material that teaches you how to implement a “bar chart race” aspect to the countries.

Instead of the same countries remaining static, they will move up and down depending upon the number of cases or deaths associated with a particular date.

Tableau COVID Dashboard Pt4 Gif Proj

Learn the Tableau “bar chart race” effect in Part 4 here:

 

 

Feel free to interact with the original viz or the Bar Chart Race version on Tableau public:

As always, If you find this type of instruction valuable make sure to subscribe to my Youtube channel.

All views and opinions are solely my own and do NOT necessarily reflect those my employer.

How to Create a Dashboard in Tableau

I took the time to produce a dashboard series that would get a relatively new Tableau user up to speed in very little time. I put together the “Goldilocks” videos I wish I had when I was a novice; not too short but long enough to hammer the concepts home.

In the first video, I dive head first into constructing four basic charts that I believe every data user should know how to put together. You will watch me demonstrate how to put together the following charts:

Line Chart with Forecast

Tableau Dashboard Line Chart

The shaded area is a time series forecast predicting the number of orders for the year 2020.

Map

Tableau Dashboard Map

Heat Map

Tableau Dashboard Heat Map

Bar Chart

Tableau Dashboard Bar Chart

In the second video, I’ll cover the layout and formatting of the dashboard, as well as adding a little interactivity. When the user hovers the cursor over the Line Chart, all of the other charts will update to reflect the number of orders represented since the selected month and year.

Full Dashboard

Tableau Dashboard

Watch Part 1 to Build the Component Charts

Watch Part 2 for Layout and Interactivity

What You need:

  • Either Tableau or Tableau Desktop
  • Data set: Tableau Superstore Data (can be found all over the internet with a simple Google search).

Do some great things with your data!

If you find this type of instruction valuable make sure to subscribe to my Youtube channel. All views and opinions are mine alone, independently researched and do not necessarily represent those of my employer.

Tableau Bar Chart: Combining Small Values

In this video we’ll learn how to build a bar chart visualization that combines values below a certain threshold into an “OTHER” bucket. This technique is very useful when limiting the number of bars to show on your visualization while not losing sight of all the smaller values.

  • Using standard Tableau Superstore data, we’ll calculate the percentage of sales that are generated by each individual state.
  • We’ll then use a parameter to set a percentage threshold where all states below this percentage will be combined.
  • This technique also requires the use of sets and Fixed LODs.

This technique allows us to combine all states below a certain threshold (e.g., 2%) into one single bar chart showing a combined 24%.

Bar Chart Below Threshold Thumb 01

I have to give credit where credit is due to Ann Jackson for sharing this technique at TC19!

Feel free to interact with the viz and download the workbook on Tableau public:

As always, If you find this type of instruction valuable make sure to subscribe to my Youtube channel.

All views and opinions are solely my own and do NOT necessarily reflect those my employer.

 

Build a Stacked Donut Chart in Tableau

Have you ever wanted to stack 4 pie charts on top of each other to build a visual? Let’s have some fun building out a stacked donut chart or a “TrailBlazer” chart as I call it due to its likeness to a particular NBA team’s logo.

Stacked Donut Chart Thumb

Portland Trailblazers anyone?

Stacked Donut vs Trailblazer

In order to build out this chart I used an innovative technique shared by Simon Runc on the Tableau forums. Feel free to check out that post here.

Using Tableau’s Sample Superstore Data, Simon came up with an innovative use of the INDEX() function and the Size functionality to create three different pie charts that each show a respective percentage of a measure (in this case Sales) to the Total amount of the measure.

For example, the chart highlights in red the percentage of Consumer Sales as a percentage of all segment sales (i.e., Consumer + Corporate + Home Office). The grey portions represent all other sales, other than the segment of interest.

The trick to this approach is using the Index function to create a pie chart per segment. For example Consumer is assigned a value of 1, Corporate a value of 2 and Home Office is assigned 3. When the INDEX() value is placed on size, the three different charts are assigned sizes where one is slightly larger than the next.

Stacked Donut Raw 2

With a little division and axis customization, the three segments are placed on top of each other to provide a stacked pie chart effect. The hole is courtesy of the standard methodology for creating a donut chart which involves a dual axis.

It makes much more sense when you see it in action so make sure to watch the video!

Here is an example of the raw stacked donut chart before the “TrailBlazer” formatting.

Stacked Donut Raw

Feel free to interact with the viz and download the workbook on Tableau public:

As always, If you find this type of instruction valuable make sure to subscribe to my Youtube channel.

Definitely check out other posts of interest for building donut charts in Tableau:

All views and opinions are solely my own and do NOT necessarily reflect those my employer.

Build a Tableau Parameter Action Dashboard

This video is inspired by Filippos Lymperopoulos who has a great article on parameter action concatenation. Definitely check out his article here. I am a hands on person who learns from building and sharing, therefore I put together this video to explore, tweak and hammer home the concept.

In this video we’ll build a Sales Analysis dashboard in Tableau using Parameter Actions and the Concatenation Aggregation functionality. The great thing about this tip is that you can use it across multiple data sources. This is a must see!

This approach relies upon the use of two different data connections. In this manner our data tables are completely un-joined without an established relationship. We have a data-set comprised of a customer list and one comprised of customer transactions across three years.

The key to linking the data sets together relies upon the following calculated field which creates a de-facto set that we can use to highlight customer purchases:

Tableau Concat Calc Field

When we setup a concatenation parameter action on our dashboard, the very act of selecting a [Customer Name] will add that Customer Name to the parameter named [Selected Customer]. This will cause all selected customers to resolve to TRUE, which allows highlighting of the sales bar charts related to the user selected customers.

Tableau Concat Parameter Action Thumb1

In the screenshot above, notice the selected [Customer Name] values on the left hand side are also concatenated together at the bottom of the dashboard (i.e., Franciso Hernandez, Jose Garcia, and Terrye Marchi). All of their respective purchases are also highlighted in the middle of the dashboard.

Tableau Concat Calc Field Label

The above calculated field is used to only show the [QTY] purchased for the user selected customer and is placed on the bar chart label.

Feel free to interact with the viz and download the workbook on Tableau public:

As always, If you find this type of instruction valuable make sure to subscribe to my Youtube channel.

All views and opinions are solely my own and do NOT necessarily reflect those my employer.

How to Highlight the Bottom Bar Chart Values in Tableau

 

I decided to make this video after someone left a comment on another video I made titled “How to Highlight the Top 3 Bar Chart Values in Tableau” asking how to find the last three values.

Youtube Comment Highlight Bottom 3

In this video I will show you how to highlight the bottom three sales values on a bar chart. You’ll also learn how to use a parameter to dynamically change the number of lowest bars highlighted.

Bottom 3 Bar Chart Values Thumbnail

We can accomplish the highlighting of the bottom N bar chart values via two ways. We can either create a set or create a calculated field to accomplish this task. The set method is cleaner but has its limitations when multiple dimensions are used in the visual. Therefore, the calculated field approach serves us well when we add multiple dimensions.

Watch the video to see how it all comes together but the calculation boils down to this:

RANK(SUM(0-[Sales]))<=[Highlight Parameter]

By adjusting the [Highlight Parameter] control, the user can determine how many bottom sales values are highlighted in the visual. This method also maintains its functionality when an additional dimension is added to the visual.

As always, If you find this type of instruction valuable make sure to subscribe to my Youtube channel.

All views and opinions are solely my own and do NOT necessarily reflect those my employer.

Create a Tableau Waffle Chart Fast and Easy

In this Tableau tutorial I am serving up some delectable waffles in the form of a fast and easy waffle chart. Watch the video to learn the easiest and quickest way to create a waffle chart in Tableau.

If you’re familiar with the Southeast United States then you know that we love The Waffle House down here. As an homage, I made a simple dashboard in the iconic Waffle House signage style.

A waffle chart depends upon a data connection to the data you wish to visualize and a data connection to the waffle chart template. Once you have these two items setup, you simply create a calculated field that marks the fill percentage in your waffle.

Help yourself to some waffles below:

As always, If you find this type of instruction valuable make sure to subscribe to my Youtube channel.

All views and opinions are solely my own and do NOT necessarily reflect those my employer.

Create an Interactive Stacked Bar Chart in Tableau

In this post we’ll use the new parameter action functionality in Tableau to create an interactive stacked bar chart. When we select a dimension from the viz, we can drill down into a sub-dimension. Parameter actions are new to Tableau as of version 2019.2. In the video we use an NBA data set which you can download in a workbook if you visit my Tableau Public viz.

This neat little trick relies upon the creation of a parameter named [Team Name Parameter] and two dimensions.

  • Dimension #1 is the [Team Name]
  • Dimension #2 is the [Player Name]

There is an implied hierarchical relationship between [Team Name] and [Player Name] as teams are naturally comprised of players.

We will also create a calculated field named [Player Drill] that is defined as such:

IF [Team Name Parameter] = [Team Name] THEN [Player Name]
ELSE [Team Name]
END

When we place the [Player Drill] calculated field on color on the marks card and setup our parameter actions (watch the video for instruction), the user selection of a [Team Name] on the bar chart will feed the [Team Name Parameter]. This causes all of the players on the selected team to be displayed with their respective breakdown of points scored.

Bonus: There is a FIXED LOD lesson in this video as well as a Star Wars reference which I’m sure you’ll have no issue finding. Here’s a hint:

It’s really not complicated so don’t let all the words here confuse you. Just watch the video and do some great things with your data! Interact with the viz below:

As always, If you find this type of instruction valuable make sure to subscribe to my Youtube channel.

All views and opinions are solely my own and do NOT necessarily reflect those my employer.

This video was definitely inspired by Kevin Flerlage who has a great blog post on the uses of parameter actions in Tableau. Check it out here.

Tableau Sales Dashboard Tutorial using Table Calculations

In this Tableau data visualization tutorial, we’ll learn to use the LOOKUP table calculation function to return sales revenue for the same day last year. A number of different techniques are used in the creation of this dashboard.

I designed this dashboard solely as a teaching exercise to help you understand the LOOKUP function and how to show the same date last year in a separate column.

  • As we learned in a previous video¬†Tableau Table Calculations Simplified, (make sure to watch this video afterwards for more clarity), we’ll compute using specific dimensions and then use “At the level” to make sure our LOOKUP table calculation is performing correctly.
  • The “Show Missing Values” option is selected to fill in date gaps in the data set that do not exist. Ensuring 365 dates per year are present in the visualization enables the offset (i.e., -1) in the LOOKUP calculation to arrive at correct sales revenue from the same day in the previous year.
  • You’ll learn that we can filter on a table calculation by using another table calculation. Filters based on table calculations do not filter out underlying data. Instead, the data is hidden from the view, allowing dimension members to be hidden from the view without impacting the data in the view.

Tableau Order of Operations

Observe the Tableau filter order of operations above. Applying a dimension filter before the Table Calculation filter removes underlying data which affects the proper functioning of Table calculations. Typically, Table Calculations only work on values that are visible in the view. By applying a table calculation (which is last in the order of operations) you preserve underlying data but filter out data from the view.

Interact with this dashboard via the picture link:

You need to read these posts and watch these videos for additional information:

As always, If you find this type of instruction valuable make sure to subscribe to my Youtube channel.

All views and opinions are solely my own and do NOT necessarily reflect those my employer.