Distribution in Tableau In the business world, you’ll hear averages get referenced all the time. “What’s the average number of admissions per day?” or “What’s the average profit per month?” or “How are we trending compared to our average?” Those are all fine – even vital – things to know. But they obscure insights hidden in the data. It assumes that everyone behaves just like the norm. And often the
The Data pane contains a few fields that are not part of your data, two of which are Tableau Measure Names and Tableau Measure Values. The Measure Values field always appears at the bottom of the Tableau Measures area of the Data pane and contains all the measures of your data collected into one field. The Tableau Measure Names field always appears at the bottom of the Dimensions area of the Data pane
Curious about graph databases? Matthias Broecheler from DataStax talks with us about looking at the world through a graph lens and using it to solve real world problems. Ginette: I’m Ginette, Curtis: and I’m Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data science, machine learning, and artificial intelligence are changing the world. Ginette: Data crunch is produced by the Data Crunch Corporation, an analytics training and consulting
With recent events being what they are, epidemiology has come into the spotlight. What do epidemiologists do and how does data shape their everyday experience? Sitara and Mee-a from “Donuts and Data” fill us in. Ginette: I’m Ginette, Curtis: and I’m Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data science, machine learning, and artificial intelligence are changing the world. Ginette: Data crunch is produced by the
What is a Dual Axis Filled Map in Tableau? A dual axis filled map allows us to plot two maps or graphs on top of each other and encode values on both of them, but it shows up looking like one map. Why is a Dual Axis Filled Map in Tableau Useful: A dual axis filled map provides us with additional context to our visualization that we would not see if
After all your effort in learning how to analyze data and present it effectively in charts and dashboards, we are going to evolve our thinking even further by learning how to tell a story with data and analytics. Chip and Dan Heath in their classic book Made to Stick, said: “Statistics are rarely meaningful in and of themselves. Statistics will, and should, almost always be used to illustrate a relationship. It’s
We’ve all been there! Dreaming about becoming a Data Analyst, but our lack of experience in the field triggers our anxiety and worries, hence lowering our confidence in ace-ing that job. Fortunately for you, we are here to share never-before-exposed insights on How to Become a Data Analyst with No Experience. 1. Fully Understand Your Role as a Data Analyst and Consultant Everybody wishes to have a road map or
Combo and Dual Axis Tableau Charts present two different variables on the same graph. For example, sales and profits. These are different than one metric, like sales, with multiple dimensions or segments (i.e. Consumers, Enterprise, SMBs). Dual Axis Tableau Charts compare two different metrics, which often have different scales. If not presented correctly, they can lead to wrong data interpretation. However, when you have limited real estate and you want
Up to this point, we’ve mostly looked at how data can be segmented by some dimension or over time. However, looking at correlation in Tableau by looking between numbers, and how one metric affects another, is an extremely valuable skill in analytics. Correlation analysis in Tableau compares two or more quantitative variables to see if values in one vary systematically with values in another. For example, as height in men
People love maps in Tableau. It’s true. They look cool and plotting data on top of them is even cooler, just check the World Corruption Map here. Open a copy of the New York Times on almost any given day and you’ll find a map graphic. Any time you have any data that is related to geography – zip codes, state or city names, addresses, provinces, postal codes, etc. –
