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The "Aha" Moment: How to Onboard an API Service and Get Active Users
Introducing Serverless Data Feeds
Share Data Without Sharing Credentials: Introducing Pipe-level Permissions
How to Embed a Live, Refreshable D3.js Chart into GitHub Pages
A 90 Degree Tilt: Introducing Vertical Pipes
A Simple Pipe Routing Example: HTML Upload to HTML Display
Introducing our API and Command Line Interface: Flex.io for Developers
Adding Dynamic Content to a Static Web Page
Just Binge-Listened to 95 SaaStr Podcasts, Here's What I Learned
Thoughts on the Data Ecosystem
The Flex.io Blog
[Editors note: As a bunch of data geeks, we always enjoy getting our hands dirty exploring interesting data. This is the third of a three-part series on data sets with a story to tell; check out part one and part two. Also, you can find the source data here.]
When looking at how well NFL teams perform, we often talk about everything from offensive formations to coaching and personnel to properly inflated footballs. But what about external factors beyond a team’s control – are there ever any scenarios where the cards are stacked?
[Editors note: As a bunch of data geeks, we always enjoy getting our hands dirty exploring interesting data. This is the second of a three-part series on data sets with a story to tell; you can find part one here. Also, check out the source data here.]
Take a moment to close your eyes and think about the taste of an apple. Sweet, slightly tart and floral, but definitely still sweet. Fruits taste good because they contain sugar, but they are sugar lightweights when compared to the sweetened beverages that dominate our diets. For instance, the sweetness level of an apple is less than half of that of the average sugared drink!
[Editors note: As a bunch of data geeks, we always enjoy getting our hands dirty exploring interesting data. This is the first of a three-part series on data sets with a story to tell. You can check out the source data for this here.]
There’s a reason that practically everything that happens in a baseball game is meticulously tracked. Interesting baseball stories are often captured beautifully in data.
It’s easier than ever to make your own data visualizations these days. Countless new charts are being posted to the internet every day, made with a growing number of tools and openly available data sets.
Governments have made a lot of data available in the last few years. In the U.S. alone, Data.gov hosts over 140,000 data sets, and many other cities and states have launched open data initiatives as well.
Data is big these days. And in more than just one sense of the word.
Massive amounts of data are being collected through the expansion of technology, like mobile phones, social media, and the Internet of Things (IoT)—all as the field of data science surges in popularity. Being a data scientist was even crowned “the sexiest job of the 21st century“, adding it to the list of recently popularized professions that were once considered nerd territory and grounds for having your lunch stolen in grade school.