Clearly and Simply

All Peaks of the Alps visualized with Tableau

A Tableau visualization of all peaks of the alps including the option to find and highlight one peak or to select one by clicking on the map

The FrankensTeam runs one of the most interesting and resourceful websites about advanced charting techniques in Microsoft Excel (E90E50fx). In March 2015 the team met in person for the very first time in Milan. To celebrate this, they published an Excel workbook with a visualization of all peaks of the Alps: Meeting in Milano, trip to the Alps and an Excel chart. 

Having been a mountaineer in my younger days, I was intrigued with this idea. I asked them for permission to use the idea and data for a replica of their visualization in Tableau. They kindly agreed.

I am deeply ashamed to admit that I am sitting on the Tableau replica for a couple of years already, but never published it. Until today.

This post provides and explains a Tableau Public workbook showing all peaks of the alps with all the amazing interactive features of Tableau.

Optimized Choropleth Maps in Microsoft Excel

How to create optimized Choropleth Maps in Excel with a higher resolution and without distortions using Excel 365

Inspired by an idea of my internet friend and highly esteemed colleague Leonid Koyfman, the post US Choropleth Map by County per State – a 4th Option described and provided an Excel workbook with a Choropleth Map of the United States including a second map showing a magnified view of one selected state.

The code and technique itself worked fine.

However, there was one major disadvantage: during the process of creating the map in Excel, the shapes were slightly distorted. The zoomed map of one state still looked good for e.g. Texas or California, but definitely not for smaller states like Rhode Island or Connecticut.

Today’s post provides a solution to overcome this issue: a way to create a Choropleth Map in Excel without distortions, displaying all counties accurately, no matter at which zoom level. As always, an example workbook is provided for free download.

Filter Excel Dashboards with Slicers and Timelines

How to use Table Slicers and Timelines as interactive Filter Controls on a Microsoft Excel Dashboard

The recent posts

Filter Excel Dashboards with Table Slicers

and

Showcase for Table Slicers on Excel Dashboards

described a technique how to use Excel’s popular Slicers on tables as easy-to-use, interactive filter controls on a dashboard.

Although the approach can quickly be implemented and is working fine, it has one major shortcoming: for whatever reason, timelines are only available for Pivot Tables, not for tables. If you have a date dimension in your data (and according to my experiences many data sets do), you can’t let the user filter by dates with a timeline on a table.

Today’s article will describe a work-around to eliminate this shortcoming. As always, the post provides the example workbook for free download.

Dynamic Icons in Microsoft Excel Cell Ranges

Spice up your interactive Excel Dashboards with dynamically changing Icons, Pictures or Charts

The Excel workbooks which came with two of my recently published posts showed dynamically changing flag icons inside of a dynamic table on an Excel dashboard.

Showcase for Table Slicers on Excel Dashboards

My 2 Cents on the COVID-19 Dashboard by JHU.

The tables visualized data per country and the flag icons next to the country names were automatically adjusted if the user filtered the data, changed the sort criterion or scrolled within the table.

This week I received some feedback on these workbooks and readers asked, if I could explain this in more detail. No sweat: todays post provides a step-by-step explanation of the technique and the according workbooks for free download.

My 2 Cents on the COVID-19 Dashboard by JHU

For what it’s worth: a few remarks on the currently extremely popular COVID-19 Dashboard provided by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU)

When the Corona pandemic started, I was tempted to build and publish a dashboard about the spread of COVID-19, too. But then I decided not to. Not only because much brighter people than me beat me to it, but also because the topic is very sensitive. People suffer and people die. Not the type of data I want to analyze and visualize. Hence, I stayed out, stayed home and wrote a few articles about something else (see my recent posts).

Today I changed my mind. I still don’t want to create a comprehensive COVID-19 dashboard, but I would like to add my 2 cents to the definitely most popular Corona Data Visualization: the COVID-19 Dashboard provided by the Johns Hopkins University:

This afternoon, I read that this dashboard is currently clicked 1.2 billion (!) times a day. 

First things first: it is a great dashboard providing the most important numbers at a glance and various options to drill down into the details. I am very impressed by its features, how quickly this visualization was made available and how often the underlying data is updated. My congratulations to the data science team of the JHU.

Having said that, I also see a few weaknesses and today’s post will discuss two of them.