Data visualization is the graphic representation of data. Simple right? We tend to digest information (data) better when we can visualize it. We all look at spreadsheets all day in excel and it has some visualization tools that you can pop into a PowerPoint, right? However, when you can really dig into large amounts of data and really “see” it, it tells a story, it makes for quicker analysis and smarter decisions. So, we should all be doing it right?
Investing in the right tool and making it a practice is often easier said than done. I hear from many clients they have the tools in house but have not had success with adoption. Excel mostly meets their needs, and it is daunting trying to decide how to take the next step and which tool to choose given all the choices out there in the market.
Tableau is a great example of one of these tools, and it seems to be popular right now. Why? The non-technical answer is that it is easy to use. Plain and simple. You can quickly skill up in a short period of time and before you know it, you are analyzing your data like Rockstar and you did not need a degree in data science to do it!
So technically speaking, what is all the fuss? I recently asked one of our Tableau Instructors, “What features do you love about Tableau.”
I love the wide variety of awesome visualizations capabilities in Tableau. We can easily create visualizations as Basic Bar Chart, Pie Chart, Histogram, Gantt Chart, Bullet Chart, Motion Chart, Treemap, Boxplot and many more. We can select data and create any kind of visualization very easily by selecting the visualization type from the Show Me tab. There are 24 different visualization types available in the Show Me tab.
We can easily create informative maps with required details, and visualize the data based on cities, states, regions, and countries. Tableau helps us to create different kinds of maps that include Heatmaps, Flow maps, Choropleth maps, Point distribution maps, Proportional symbol maps, and Spider maps.
Immediately, I can see the options for how to present, analyze, and slice and dice your data appear to be endless. I think no matter what tool you are using, the ability to remove the “noise” from the data and highlight the useful data to look at it in a meaningful way is immensely powerful. Seeing, truly is believing.
If you would like to learn more, please join Fast Lane’s upcoming Webinar, “Getting to Know Tableau” on January 25th.