VizWiz

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Showing posts with label interactive. Show all posts

July 8, 2024

Build an interactive Tableau dashboard in 3 minutes!

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Build 80% of your dashboards with these 4 charts, a bit of interactivity, and that's it.

You probably won't need to create anything fancy, formatting will be minimal, and you won't need to wrestle with containers.

This video show you how to create it in only 3 minutes!


March 11, 2024

#MakeoverMonday 2024 Week 11 - Housing Vacancies in America

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This week I decided to turn Makeover Monday into a Workout Wednesday of sorts. I wanted to try a technique I haven't used in a while...showing elements on either side of a rank and filtering out the rest.

Want to give it  a try? Get the data here.

Requirements:
  1. Size - 1000x475
  2. Max 4 containers; no tiled containers allowed
  3. Filter out Alaska, Hawaii and Puerto Rico
  4. Clicking on a MSA in the map highlights the MSA in the map and bar chart and changes the MSAs that are displayed in the bar chart
  5. The bar chart shows the rank of the MSA for the metric selected.
  6. There should always be 11 bars (though I didn't test the lowest rank).
  7. The label on the end of the bar and in the map reflect the formatting of the measure selected (i.e., either whole numbers or a percentage to one decimaal).
  8. Include an option to change the measure and to change the number of MSAs on the map.
  9. Create a mobile view
  10. NO LODS!

Have fun! 

October 24, 2023

Master Containers: Build an Interactive Tableau Dashboard From Scratch

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In this video you will learn step-by-step how to create an interactive Tableau dashboard. 

We'll start with a 2 datasets:

1. Beverage sales
2. Custom shape for US states

I will show you how relationships work in Tableau to combine these two datasets.

Once we create the data set, we'll build all of the charts we need, create a parameter, and apply the filters.

We’ll create:

1. Summary key figures (KPIs)
2. A custom map of the US
3. A monthly breakdown as a line chart
4. Two bar charts for products and customers

Lastly, we'll make the dashboard dynamic and interactive using different filter types and a parameter and make sure everything updates automatically.

As a bonus, you’ll learn a lot about working with containers in Tableau.

Resources:
1. Data
3. Workbook (or click the image below)


September 26, 2023

Dynamic Drill-Down from Monthly to Daily Data Using Set Actions

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Unlock the power of Tableau's Set Actions to enhance your data visualizations! 

In this in-depth tutorial, I'll walk you through a step-by-step guide on how to create an interactive chart that allows users to drill down from monthly to daily data by simply clicking on a month. 

Ideal for analysts, business intelligence professionals, and anyone who wants to level up their Tableau skills.

What You'll Learn:

- How to set up Set Actions in Tableau

- Create interactive charts for effective data exploration

- Best practices for visualizing monthly and daily data

Who This is For:

- Data Analysts

- Business Intelligence Professionals

- Tableau Beginners and Enthusiasts

Prerequisites:

- Basic understanding of Tableau Desktop

Resources:

- Download the sample workbook: https://public.tableau.com/app/profile/andy.kriebel/viz/MonthtoDayDrillDown/Sheet1

- Data: https://data.world/vizwiz/sample-soda-sales

- Tableau official documentation on Set Actions: https://help.tableau.com/current/pro/desktop/en-us/actions_sets.htm


July 25, 2023

The Big Thaw: Exploring the Disappearing Antarctic Sea Ice

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For week 30, we revisited a topic from 2018 week 15 - Arctic sea ice extent. During watch me viz, I focused on rebuilding:

  1. Visualizations from chapter 12 of the Makeover Monday book that showed how to add context to visualizations
  2. Several of the vizzes from 2018 week 15, each with their own unique take on the data
  3. The original viz by The Guardian
In the end, I created 13 visualizations before settling on the viz most similar to the original. There were some great questions today on the livestream. Thank you for that.

When you watch this video, you will definitely learn something new. You'll also learn a lot about how I think through problems when I run into them.

Enjoy! Click on the image below the viz to interact or click here.


June 20, 2023

Tableau Tutorial for Beginners | Create Your First Dashboard

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Learn how to use Tableau and created impressive dashboards. 

Tableau is easy to use, but it can seem quite complex and confusing at first. The best way for you to learn Tableau is to download the files from the description of this video and follow along with me.  

By the end of the video, you will have a much better understanding of Tableau and be confident that you can build dashboards on your own. 

I'll take you step-by-step and show you how to create, publish and share your first interactive Tableau dashboard.

I'll cover:

  1. Tableau's welcome screen
  2. Connecting to data
  3. Making visuals
  4. Creating a dashboard
  5. Adding interactivity
  6. Publishing to Tableau Server
  7. Sharing with others

By the end of the video, you'll have created your first interactive Tableau dashboard which you can publish to the web or to your company's Tableau Server. I'll also show you how you can share your Tableau dashboard with others.

⏬ DOWNLOAD the data, and starter and solution workbooks here.

I would appreciate your support with a small donation to continue to make videos for you.

Sign up for my newsletter to get advance, exclusive viewing of all of my videos, tips for using Tableau, and exclusive discounts on products I create.

https://andykriebel.com/

May 23, 2023

Make an Awesome TABLEAU Dashboard in Just 10 Minutes

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In this video we'll build a dynamic Tableau dashboard from scratch in just 10 minutes. We'll create a sales dashboard for Superstore’s European region. 

    1️⃣ We’ll create all of the charts which include a map, bar chart, line chart, and KPIs.

    2️⃣ We’ll customize the charts to fit our style.

    3️⃣ We’ll place the charts on the dashboard using layout containers, padding, formatting and more.

    4️⃣ We’ll add interactivity to the dashboard to make for a great user experience.

DOWNLOAD the data and starter and solution workbooks (this covers the costs of making this and future videos):

https://andykriebel.gumroad.com/l/10-minute-dashboard

I would appreciate your support, however, if you want the Excel file for free, download it here:

https://data.world/vizwiz/superstore-europe

Want early access to my upcoming videos like this one? Sign up for my newsletter. Every Friday morning, you'll get actionable tips to launch, grow, and unlock your career in data.

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October 17, 2022

#MakeoverMonday 2022 Week 42 - Food & Drug Administration Inspections in America

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Having looked at the original visualization this week (here), it was pretty clear to me that the creators desired to create a KPI style dashboard. In a way it's good that I picked up on it that way. However, it wasn't designed particularly uclarly well to communicate most efficiently.

I decided during Watch Me Viz that I would stick with their idea of a KPI dashboard, but design it in a way that I thought would be easier to understand.

As per normal, it took way too long to faff about with the formatting. I made a couple of small changes after I finished the live stream. Click on the image below the video to check it out. Leave a comment on the video on YouTube if you have any questions. (Comments aren't appearing on the blog for some reason).

Have a wonderful week!


August 23, 2022

How to Create a Two-Level Drill Down in Tableau

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There are tons of ways to create a single level drill down, but if you’re having issues creating a second drill down, this video is a guaranteed way to help you fix this problem.

Additional video - Single Level Drill Down 

January 25, 2021

#MakeoverMonday Week 4 - Coal Production in India

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RESOURCES:

  1. Watch Me Viz - https://youtu.be/ur3Vhs7Ceck (also below)
  2. Tableau Workbook - http://bit.ly/MM2021W4

I'd been looking for a data set about India for quite a while now in an effort to keep the Makeover Monday Community in India engaged. This week, I found one about coal production at various mines across the country. It was an interesting topic to learn about, including why the research was done and the purpose. Read the manuscript for background info here.

The original visualization was a simple bar chart of coal production by District.



What could be improved?

  • There's no title.
  • The District names are way too small. My old eyes can't read it.
  • I don't understand the sorting. I would pick one of the metrics to sort by.
  • The comparisons need to be more clear, if that is the intent.

Watch Me Viz

To see what I built, check out the video below. I iterated through all of the dimensions with a series of bar charts to understand the data. Thank you very much to those that watched to help me understand what some of the values meant!! I ended up with a simple dashboard that allows you to explore the data by producer and mine within each State. See the viz below the video or here.


Final Dashboard (click to interact)


November 9, 2020

Dashboard Templates - Example 1: Customer Service Dashboard

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As part of the training at The Data School, we're often tasked by clients to build industry specific dashboards and/or dashboards that can be used as templates for their organization. Of course what the client can ask for is often much more broad. From a dashboarding perspective, we tend to have the freedom to create what we think works best for their data. This them, in turn, helps create a sort of "brand" for their dashboards internally.

That got me thinking about common use cases for dashboards, dashboards that would likely span industries and companies and could serve as templates for others. In this series, I'll be posting templates that I have been building based on the data and sample dashboards from Excel Dashboard School

Let me make it clear that I am in no way criticizing the work they have created. My intent is to build an alternative method for displaying the data as a template in Tableau. The data and templates they have provided are the starting point for my work. I want to thank them for being so kind and sharing their work.

TOPIC

Customer Service Dashboard

RESOURCES

  1. Dashboard Overview - https://exceldashboardschool.com/customer-service-dashboard/
  2. Data and Interactive Dashboard - https://cdnspeed-exceldashboardsc.netdna-ssl.com/wp-content/uploads/2017/08/080_CSD_final.zip

DASHBOARD TEMPLATE

Click here for the interactive version.

January 4, 2018

Makeover Monday (Power BI Edition): Poultry and Livestock Consumption

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This week I've dedicated time to learning new tools. Earlier this week I posted vizzes created in Google Data Studio, Datawrapper and Infogram. Tableau's main competitor is Power BI, so this morning I downloaded and installed PBI Desktop, connected to the data via the data.world connector, and recreated my Tableau viz.

My First Experience With Power BI

Keeping in mind that I knew in advance exactly the chart I wanted to build, here are my initial impressions and experiences with Power BI -

  • It took me a few hours to create the viz you'll see below. Since I've never used PBI before, I felt that the amount of time spent wasn't too bad. It took me about 30 minutes to create my first Tableau dashboard back in 2008.
  • Googling for solutions was very helpful; there seems to be plenty of documentation about how to use Power BI.
  • Formatting is very tedious, but you have a ton of control.
  • You can get pixel perfect reports by choosing NOT to snap to the grid. I used snap to grid to align everything quickly, then switched to the non-snap option to move things around a few pixels. I found this quite simple.
  • I didn't have to pivot the data to get the view I wanted. Pivoting the data made creating the chart in Tableau easier.
  • Creating calculations is pretty straightforward if you're used to Excel. The only confusing bit for me was that you have to create a new column, not a new measure. That didn't make sense, but once I knew what to do, it wasn't a problem.
  • Adding dots to the ends of lines required a separate calculated field (or column in PBI terminology).
  • The tooltips look great out of the box and are super responsive, although I didn't see any way to control what appears in the tooltip. For example, if you hover over the dot on the end of the line, you'll see the extra calcs I had to create for the dots. It would be nice to be able to hide those from the tooltip.
  • Formatting fields is done through the Data pane. When you click on the spreadsheet icon you get a data preview, then you click the column header and format it.
  • You can't create custom number formats, which meant I couldn't put a + before the positive percentages.
  • Embedding and sharing to the web takes too many steps. From PBI Desktop you have to Publish to Power BI, then in the browser, you have to Publish to Web. Seems like an extra step to me.
  • I couldn't control the line thickness of the reference line at zero, but it was great to be able to move the reference line to the back (you can't move a reference line to the back with Tableau).
  • Creating the equivalent of a table calc is pretty simple. For example, I used the LOOKUP function to create the change versus 1965. Again, if you're familiar with Excel formulas that should be easy to pick up.
  • I couldn't add a reference line on a continuous date axis.

Overall, I found this a really useful exercise and enjoyed learning Power BI. It's very helpful for me to understand the pros and cons of Tableau and Power BI and helps me appreciate what both tools offer and how they approach reporting.

The biggest advantage for Tableau is how quickly you get into the flow of visual analytics. Power BI, as I see it so far, is a reporting tool, not a data analysis tool. That's a massive differentiator for me and truly sets Tableau apart.

My plan is to use PBI for a few more Makeover Mondays. Next time, I think I'll start with PBI then go to Tableau and see how I do not knowing exactly what chart I want to build ahead of time.

With that, here's my first Power BI report. I'd love to know your thoughts.

July 12, 2017

Workout Wednesday: Insights & Annotations

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The week 28 challenge is up on Emma's blog. Basically, you need to:

  1. Create a map
  2. Create a barbell chart
  3. Have the map interact with the barbell chart
  4. Include an option for users to add custom annotations

Be sure to check all of the requirements on Emma's blog. I immediately knew how to do all of this, so it was a matter of getting it done. The trickiest bit was the year over year change in the map. Emma and I approached the calculations required differently, as we always seem to do. She chose to use basic expressions while I used LOD expressions. Her way is definitely simpler!

Click on the image for the interactive version. Be sure to post your version to twitter and tag @EmmaWhyte and @VizWizBI so we can see your work.

August 8, 2016

Makeover Monday: Who’s Winning the Summer Olympics?

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With the Olympics starting this weekend, I thought we’d take a look at the most classic way that people display Olympic medal counts, as stacked bars. Being an American, I pretty much have only known NBC as the host of the Olympics, so when I went to their website and looked for historical medal counts, I was mortified. This viz is just about as bad as it can get.


What works well?

  • The countries are ordered from most medals to least.
  • There’s cute little actions when you click on the medals.
  • They used appropriate colors for each medal type.

Seriously, that’s all I see that’s any good. This is an incredibly poorly done graphic.

What doesn’t work well?

  • There’s no title.
  • There aren’t any tooltips, so I have no idea how big each bar is; I’m forced to guess.
  • I can only see seven countries at a time, and I can’t even see the name of the seventh country. I mean, who would ever want to compare only the 15th-21st ranked countries?
  • When I click on the scroll button, it scrolls by an increment of 2. Why?
  • Comparisons are nearly impossible with a stacked bar except for the total medal count and bronze.

Here are some of the changes I made:

  • I separated out each medal into a dot plot and chose to show only the top 25.
  • I included a summary next to each country to provide the exact medals counts.
  • I included a mobile view, but in this view I remove this summary for a better visual look.
  • I included informative tooltips.
  • I included a title so you know what the chart is about.
  • I included filters so the user can decide which Olympic games to include.
  • The "sort by" option allows the user to pick the medal count to sort by making comparisons easier.


April 11, 2016

Makeover Monday: From Millions to Billions

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Today is my 9 year anniversary using Tableau. On April 11, 2007, I downloaded a trial of Tableau 3.0 and my life has never been the same. What better way to celebrate than working on Makeover Monday and creating my first mobile dashboard.

This week’s Makeover Monday was quite tough. How do you take a viz that’s already great and make it better? Or how do you tell the story differently? I wrote about this viz on my other site (DataVizDoneRight.com) a couple weeks ago. Here’s the viz again:


What works well?

  • Title catches your attention
  • Subtitle makes you more interested and sets up the story
  • Very well organized
  • Clear labeling of the headers
  • Pictures of the faces make it feel more real
  • Consistent use of colors makes it easy to understand and follow
  • Nice totals on the right for context and they’re out of the way as to not distract
  • Dark background works well and makes the bars pop out
  • Great tooltips!
  • Fantastic sorting interactivity
  • Great spacing; there’s a lot of information yet it still feels simple


What could be be improved?

  • Include a filter for gender
  • Include more women
  • Change the mark type for the ends


So given how good this is already and how little I saw that I could do to make it better, I thought I would use this week to practice making a mobile version, formatted for iPhone 6. I rarely create visualisations specifically for mobile and the only way to improve that ability is to practice.

Adding the filter for gender was easy. Including more women was out of scope.

Notice that I changed the ends of each bar to dots. I did this because I think the vertical bars are a bit tough to see; I wanted to make it easer for the viewer.

One challenge I had was that I wanted the sorting to be “touchable” like the gender filter is, but I couldn’t get it to work. I didn’t want to spend a ton of time fiddling with it, so I resorted to a parameter for the sorting.

I’d like to hear what you think about this mobile version. Does it work well? What could I do to make it better mobile experience?

August 7, 2015

Fort William Marathon: Race Recap & Visualised Results

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July 26th was a massive day for me. I'd been training since the start of April for the Fort William Marathon and this was the magical day that I would run my first marathon. It was an incredible experience on a very difficult course.

I met Hairy Coo on my shakeout run Saturday. Quite the nice guy!

Really happy with my result, especially with how much I stopped

Finishers medal that I'll cherish forever

Nothing beats your kids cheering you on and waiting for you at the finish
Naturally, to celebrate the marathon I had to take the results and visualise them with Tableau. All of the metrics are based on chip time, so the overall results may vary from the results on the marathon website (theirs are based on gun time).

For a first marathon, many people told me I was crazy for choosing this course, but I wouldn't trade it for anything. It was incredibly well organized, small, and the setting was second to none. Seriously, how often do you get to run in the Scottish Highlands?


May 4, 2015

Makeover Monday: Which NFL Teams Were the Biggest Overachievers and Underachievers in 2014?

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The NFL Draft was this past weekend, which for many people is the biggest day of their year. It’s the day that all teams have renewed hope for the upcoming season. This got me thinking back to a viz I saw from Cork Gaines back in January that I had tagged for a makeover.


My biggest problem with this viz is that I have to turn my head sideways to read it. In addition:
  • The length of the bars isn’t accurate.  How can +4.5 be longer than -5.0?
  • The bars are in reverse order - the biggest overachievers (Dallas) should be first.
  • I have to do the math in my head to get to their predicted wins.

My first thought was to see what this viz looked like it I rotated it counter clockwise.


That definitely makes it more readable, but the story still doesn’t stand out. What the data is screaming for is to show the change and emphasize the winners and losers. To this end, along with accounting for the observations above, I created this interactive version in Tableau.

March 27, 2015

An Analysis of My Commute on Facebook's Dublin/Castro Valley Shuttle

The irony of it all.
  • I’ve been riding the Facebook shuttle to work for almost a year.
  • I’ve been tracking my commute time via Swarm check-ins.
  • I decided to drive to work yesterday for my last day.
  • I got my first ever speed ticket on my way to work.
I started building the viz below a while ago and decided to finalize it since I had collected all of the data I could. I would like to thank Anya A’hearn for her feedback on my design (note to self: Anya hates lollipop charts). I also need to thank Jonathan Drummey for his help in getting my time calculation formatted correctly (he pointed me to this post).

Anyway, here is my analysis of my commute to work on the shuttle. There are filters for the time of the commute and the schedule. Use the drop down to select various displays: the default is a calendar view and the other views are various dot plots.

Click on the image for the interactive version.


March 23, 2015

Makeover Monday: Who’s Really Using Social Media in 2015?

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Back in January, AdWeek published this infographic with their predictions for growth of various social media platforms in 2015.


Wow! That's quite a bit to digest. So much going on, from the donut/pie charts, to all of the annotations, to the sizing of the pies by overall growth. This infographic has it all.

I recreated the data in Excel, which you can download here, and decided to build a couple of different alternatives because the design choices depend on the question that's trying to be answered. This first version aims to show which social networks are predicted to grow the most in each demographic.


Looking at the data this way, it's clear that Facebook will continue to see the largest growth across all ages. This view also makes the following obvious:

  1. Younger people are using Instagram
  2. Older age groups are using Pinterest
  3. Twitter is a middle of the road platform everywhere, which you could spin as a more diverse audience

The second alternative takes the pie charts and converts them all into more organized bar charts. The question being answered here is how is each app doing?

There's a selector at the top right where you can pick the view you want to see:

  1. The spread of growth across each app separately
  2. The growth estimates for each app


Looking at the data this way allows you to compare within a single app, compare to the total and compare across apps.  Which version do you prefer? What would you do differently?

Download the Tableau workbook here (requires Tableau 9).

March 12, 2015

How Has the Cost of a Beer Changed in the NBA?

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If any of you have had the pleasure of meeting Carl Allchin, you likely knew within about five minutes that he's a huge fan of the NBA, particularly the San Antonio Spurs. Earlier this week, I had some adult beverages with Carl and he told me he was headed to New York to see his beloved Spurs play the lowly Knicks.

And that got me thinking. What will a beer cost Carl at Madison Square Garden? How does that compare to the rest of the league?

I found the data on Business Insider (here and here) and manually entered it into an Excel spreadsheet, which you can download here. The data only includes the cost that you actually pay in the stadium, but different teams serve different size beers. What I've done is created a selector for you to pick the value you are interested in:

  1. Price at Game - This is the price that you actually pay in the arena. Note that the Knicks, where Carl will be going, have the most expensive beer in the NBA.
  2. Pint Price - I took the actual price, divided it by the size and multiplied that by 16 to get the pint price. This normalizes the prices across the league. The Knicks are the second highest price by this metric.
  3. Pint Price Change - I created this metric because I was interested to see how the price has changed from last season. The Hawks doubled the pint price, while the Knicks have actually reduced the price by 10%.
  4. Beer Size - I thought it would be interesting to see if the team keep the size of the beer the same each year. They don't.

This was fun, and didn't take too long. That's the beauty of Tableau: You think of an interesting question, find some data, and create something interesting quickly. Cheers!

You can download the workbook used to create this viz here (requires Tableau 9).