Category: Tableau

Feed: What's New. Author: Annie Worman. Explain Data, now in Tableau 2019.3, helps accelerate your analytics by leveraging the power of artificial intelligence (AI) to explain specific points in your data. Before the technology made its way into Tableau, it started as an academic project at the MIT Probabilistic Computing Project, funded through a grant around explainable AI. We spoke to Richard Tibbetts (Principal Product Manager for AI and former CEO of Empirical Systems) about Explain Data’s origins, including its first encounter with the Superstore data set, and some exciting possibilities for the future. 1. Explain Data’s origins are rooted ... Read More

Feed: The Information Lab. Author: Gwilym Lockwood. 11 October, 2019 | Gwilym Lockwood Alteryx CrossTab Underscores – how to dynamically rename them with metadata Have you ever used a CrossTab tool in Alteryx, then noticed that the new column headers are messed up? Irritating, isn’t it? Basically, anything in a string that isn’t a letter or a number will be converted to an underscore when it becomes a new column after a CrossTab tool. There are a few solutions out there in blogs and on the community, but I haven’t seen one which uses the Field Info tool, a handy ... Read More

Feed: What's New. Author: Maris McEdward. It's year 12 of Tableau Conference and we are always striving to improve attendee experience. We want the four days you spend at conference to be the most educational, valuable, inspiring, memorable, and fun four days of your entire year. To realize this goal year after year, we rely on a recipe of a large dose of feedback from you, a sprinkle of magic, heaps of top-notch sessions, and loads of ways to prepare for and access these brilliant breakouts, meetups, trainings, and more. One notable improvement for TC19 is that you have the ... Read More

Feed: The Information Lab. Author: Soha Elghany. 10 October, 2019 | Soha Elghany Chapter 1 Part 2: What is data to people? Data has become such an integral part of our life in a quiet way, that a lot of us don’t actively take notice of how we’re using our data literacy in making/creating decisions in our lives. For a lot of people, data represents a string of numbers that mean very little to them and has become this mysterious black box that requires learning a new language to be able to unearth the power of this knowledge. First, let ... Read More

Feed: What's New. Author: Charles Schaefer, Michael Hetrick. Not every technology today promises to drive vast change across the enterprise. Think about solutions like phone and conferencing systems—while critically important for your business, they’re not driving digital transform for your organization. So, how do you identify the right kinds of technology solutions that necessitate a deeper evaluation? A few places to start: Team up with your lines of business — Depending on who this solution is for, you can rely on some of their specialized knowledge to help during the evaluation process. If you’re buying marketing automation software, ask the ... Read More

Feed: What's New. Author: Maraki Ketema. Do you see inconsistent data values when you combine data from different systems because they represent the same items in slightly different ways? Or do the names of your products or departments change over time and you need a consolidated set for your analysis? Well, you can fix these inconsistent values as easily as you do geographic values with Data Roles! In Prep Builder 2019.3.1 we introduced Custom Data Roles, so you can create your own Data Role to share with your organization and easily validate data values in your flows. Publish your categorical ... Read More

Feed: The Information Lab. Author: Soha Elghany. 8 October, 2019 | Soha Elghany Chapter One Part I: Getting Started with Data A lot of the time it can be confusing and overwhelming to know where to begin your data investigation journey. That leads to the common question: where do I start my analysis?  The answer to this question is that there is no right or wrong way to begin your analysis and that is the beauty of data exploration. The whole goal is to explore your data and understand it on a more insightful level to be able to create ... Read More

Feed: What's New. Author: Geraldine Zanolli. Now, let’s talk authentication with the Tableau REST API! Today, when you are signing into your server or Tableau Online using our REST API, you need to send your username and password in a request. Learn how to sign in, what a REST API is, how it relates to provisioning, permissions, and publishing, and more in this YouTube video. With Personal Access Tokens, there's no need type your password. You can use this new token to sign in to your server—no need to expose your account credentials in automation. This means not only is ... Read More

Feed: The Information Lab. Author: Ravi Mistry. 8 October, 2019 | Ravi Mistry Tableau 2019.3 is here! Part I Tableau 2019.3 has been out for a couple of weeks now, so let’s take a look at some of the new features, and explore some use cases for whats new. It’s packed full of loads of features as always, as Tableau’s moved more towards all features, all the time than the BIG release, small releases it had in previous versions. In the last 3 versions, the product range has taken leaps. So let’s focus on 2 big name features, Explain Data ... Read More

Feed: What's New. Author: Larry Clark. Kaggle breaks the Titanic passenger list into test-and-train comma separated values (csv) files. The training file includes a populated “Survived” column, whereas the testing file does not. Because Python scripts called by Prep can only consume and return a single dataframe, and we’ll need access to both datasets in our final prediction Python script, we will need to union the test-and-train data as our first step in Prep. To enable Python to tell the difference, we’ll add a “test” flag column. To separate the datasets within each of our Python scripts, we use the ... Read More