Geographic data is one of the most common types of data available, and with today’s location-based applications and sensors, it’s more important than ever.
And dealing with geographic data without a map is like going into the mountains without, well, a map. Maps are common visualizations that immediately help orient people to new data. So if you’re doing analysis without using maps, you’re flying in a fog.
Maps are a core part of Tableau. Tableau provides built-in geocoding, so if you have common areas like countries, states or post codes, you don’t need latitude and longitude data. And Tableau’s powerful visual analytics software gives you the flexibility to create a map that will tell a story by allowing users to drill down into related information.
Looking at a series of data in bar or line charts may cause you to overlook obvious geographic trends. Tableau's seamless filled maps empower you to investigate geographic trends like never before.
Call Centers are not the only industry where it is critical to achieve maximum efficiency while retaining high customer satisfaction levels. More often than not, customer satisfaction is underlain by a strong geographic component. This view was built to investigate a hunch that after implementing new procedures to improve call resolution time, client satisfaction in Europe had been sinking. A quick glance at this map visualization clearly shows which regions of the world need attention.
While Tableau comes with handy geocoding abilities right out of the box, adding your own custom geocoding allows you to create a map for the geographic locations that matter to your business. Whether you want to visualize distribution centers, or add new political regions, or plot all the way down to the street level with latitude and longitude data, Tableau’s sixteen levels of zoom are at your fingertips. This allows you to create custom interactive maps in a flash.
When analyzing flight data, what better way to visualize arrival delays by airport than by plotting each airport’s location on a map. This view takes advantage of the ability to add custom geographies to Tableau’s built-in offerings. Filtering by Airline Carrier and Destination State allow users to focus the application to their own travel preferences and habits. Interested in what days of the week typically have longer delays flying out of JFK? Simply click the airport of interest and the time will update to reflect weekday delay trends from that location. This is a great example of how maps can be used to filter other visualizations to provide more details.
Data Layers provide that extra piece of contextual information that your data was lacking. Augment your customer analysis with US Census data to display the average household growth rate per county or zip code. By using Tableau’s built-in population, income, and other demographic layers you’ll be able to augment your data and reach that “aha!” moment.
This visualization shows Seattle’s most dangerous areas for bicyclists. The collision data itself reveals critical information that can be used by cyclists and motorists alike to be more cautious in certain areas. It seems that most dangerous activity occurs near bridges and freeway entrances.
But adding a data layer showing the number of households in each block group provides another level of insight. The concentration of collisions is much denser where the number of households is larger. This may be expected, but perhaps the outliers to this trend are the interesting findings. What could be causing so many accidents in such a lightly populated area? Try changing the data layer to find other demographic trends in this bike data.
Using custom weather maps or other specialized maps on a WMS server? With Tableau, you can create interactive maps that use either. Using specialized maps that are custom to your organization along with Tableau’s powerful visual analysis capabilities means you can answer more specific questions, faster. And of course, configuring a WMS Server in Tableau is simply point-and-click.
This visualization shows the optimal routing from a distribution center for a logistics company. Of course, weather is a critical input to any routing decision, so the dashboard includes a live update from a weather WMS server. Now dispatchers can evaluate both distance and potential weather issues when determining a route.