Here you’ll find tips and tricks for mapping and geographic #dataviz. And you’ll find visualizations and dashboards that make use of maps.
I previously shared the fun I had with Tableau 10.2’s ability to connect to spatial files. In that case, I used historic shape files from the Newberry Library’ repository of historical county boundaries files. When I saw that the first Iron Viz feeder contest would feature spatial file visualization, I knew I already had an interesting data […]Continue Reading... No Comments.
Tableau 10.2 is almost here! And it’s time to celebrate! One thing I’ve always wanted to do in Tableau is create interactive historical maps that changed based on the selected time-frame. We are fairly familiar with the shape of things now – countries, states, counties – but how did things look in the past? What […]Continue Reading... Comments Off on Fun with spatial files in Tableau 10.2
Having never previously entered into the Tableau #IronViz feeder contests, I was eager to participate this year. The category of the first contest: Food! That’s a broad topic and the rules indicated that any data set was allowed as long as it was “tangentially related” to food. (By the way, if you like my viz, […]Continue Reading... No Comments.
Previously, we saw how to capture and use Tableau’s automatically generated latitude and longitude for custom geocoding. Now, we’ll extend that technique to give us the ability to drill up and down on various levels of geographic detail in a single visualization: The data is fairly standard. We have Regions which contain 2 or […]Continue Reading... 9 Comments.
Last time we looked at a simple way to implement custom geocoding in Tableau using the ability to assign latitude and longitude to unknown locations. That’s a fairly good option if you only have a few locaitons and only need to plot marks on a map or two in a single workbook. But what happens if […]Continue Reading... 14 Comments.
Tableau has outstanding built-in geocoding capabilities. If you have countries, states, zip codes, congressional districts, statistical areas, etc… in your data then Tableau knows where to plot marks on a map. But there are times when you have data that doesn’t match up with standard geographic locations. There are great tools and techniques out there for generating […]Continue Reading... 16 Comments.
I love history, but I find it difficult to remember all the details. That’s mostly the way it’s taught and presented. Lectures, lots of reading, lists of names and dates, facts and figures. But all of that can be told visually as a data story! And that makes it easier to remember and understand. So, […]Continue Reading... No Comments.
Wow! Tableau Tips Month is almost over and I almost missed it! (Or maybe I was just early with this tip: 1 Easy Tip to get Clustered Bar Charts ) So to make up for my tardiness, I’ll give 3 easy Tableau tips for the price of 1! Imagine the following maps as components of a […]Continue Reading... 8 Comments.
I was asked recently to do a small research project recently into why Tableau wasn’t recognizing certain MSAs (metropolitan statistical areas) even though they were clearly the official name released by the census bureau and the U.S. Office of Management and Budget. It turns out that Tableau typically includes major updates of geographic data in […]Continue Reading... No Comments.
The Issue A common technique for calculating distances in Tableau is to use a custom SQL statement to join a dataset to itself. This causes each data row to contain two latitude and longitude values. Then a row-level calculation can use a formula (such as Haversine) to determine the distance. However, many data source connections […]Continue Reading... 20 Comments.