I have lived in my house for 14 years. And every Halloween, I get inundated with trick-or-treaters. Year after year, it's like Willy Wonka's Chocolate Factory at my house, with candy flying out the door. Now, being a data guy, what do I do? Well, that's simple—I count them.

작성자: Guest Author 2016/10/24

When working with clients, the most sought-after requirement is to extend collaboration capabilities with cross-device data annotation and database write-back features. We leverage Tableau 10's feature-rich APIs to handle that request.

작성자: Guest Author 2016/10/21

A lot of my previous work has been centered around custom maps or mapping techniques within Tableau. I've always been fascinated with FiveThirtyEight's custom electoral-college cartogram used in its 2016 election forecast. This type of cartogram was created in response to critiques about the use of geographic maps to show election data. So here's how I did it in Tableau.

작성자: Guest Author 2016/10/19

The Tableau Foundation's Living Annual Report is a take on the traditional, glossy printed annual report. We share the methodology and design tips from ours to foster greater conversations about transparency and reporting for those working in social good.

작성자: Jason Schumacher 2016/10/19

When you hear data, what two words come to mind? Take just one minute to share your two words. Don’t worry, there isn’t a right or wrong answer—data means many things to many people. So tell us your two-word definition of data.

작성자: Marissa Michelotti 2016/10/18

Tableau dumbbell charts, also known as DNA charts, are an alternative visualization choice for illustrating the change between two data points. Dumbbell charts get their slang name from their appearance, which look similar to weights, and sometimes strands of DNA, when they are in a horizontal orientation.

작성자: Guest Author 2016/10/17

I’m pleased to share the Tableau Foundation’s brand new Living Annual Report. We’ve ditched the traditional, glossy-printed annual report for a live report so anyone can get near-real-time information on what we’re doing around the globe.

작성자: Neal Myrick 2016/10/14

Oldcastle wasn’t consuming its data in the most efficient way. And as North America’s leading manufacturer of building products and materials (“masonry and hardscapes, otherwise known as sexy concrete,” says Ian), the company had a lot of data.

작성자: Jeff Mills 2016/10/12

Here are three lessons I’ve learned through my own journey and through conversation with other women in tech.

작성자: Guest Author 2016/10/11

Whether you’re a beginner or a Jedi, we have entire courses dedicated to helping you do more with your data. These courses have helped thousands of people to learn Tableau faster than they thought was possible.

작성자: Sarah Nell 2016/10/10

At most organizations, the SQL database is sacrosanct. Day in and day out, DBAs protect the write operations and storage requirements of the database to ensure that no matter what, every piece of data is accurately recorded for posterity. Analysis? In most cases, analysis can wait. Extracts can be scheduled at slow times of the day like the early morning. Live connections to the database during business hours (when business users actually have questions) are dangerous and unnecessary. Unfortunately, this limits the usefulness of the data that is being so carefully stored and curated.

작성자: Ross Perez 2016/10/07

Years ago, one of my colleagues asked if you could eventually learn everything there was to ever know about Tableau. Naively, I said, “Yes.” But I was wrong! I learn Tableau every day.

작성자: Guest Author 2016/10/06

You asked for API improvements, and we’ve heard you. In Tableau 10.1, we’ve made improvements to many of our APIs to let you do more, and do them more easily. We’ve also released a brand-new client library that drastically reduces the amount of code required to use the REST API.

작성자: Ben Lower 2016/10/05

Check out our latest round of the Best of the Tableau Web!

작성자: Marissa Michelotti 2016/10/04

Eight-year-old Joe Radburn spends many Mondays “doing data.” Joe is a regular in Makeover Monday, a weekly exercise in reimagining data visualizations. “My dad downloads the data, and then I have like 20 minutes to kind of get happy with it. Then once I’m happy with it, my dad looks at it,” says Joe.

작성자: Martha Kang 2016/10/03

When we asked you to share #DataLessons (advice for people starting their data journey), the wisdom started flowing in! And once again, we were reminded of what a generous and thriving community we have. Whether you're a beginner or an experienced vizzer, we are sure that some of these tips will resonate with you as much as they did with us! Here are the highlights.

작성자: Jade Le Van 2016/09/30

What an honour! #MakeoverMonday has been shortlisted for “Best DataViz Project” in the Kantar Information Is Beautiful Awards.

작성자: Andy Cotgreave 2016/09/29

Andy Kriebel recently posted a great tutorial on adding vertical lines to a slope graph using reference lines. This works great for slope graphs when you are comparing the same measure across dimensions, but what if you want to compare two measures across a dimension?

작성자: Guest Author 2016/09/28

You've heard from the candidates—but what does the data say? Join us as we explore the data stories behind the US elections.

작성자: Jenny Richards 2016/09/27

See and understand your JSON data without data prep! In Tableau 10.1, you can connect to your local JSON files, reason about their structure, and start analyzing.

작성자: Arthur Gyldenege 2016/09/26

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