Charting Data is a Vital Part of Statistical Analysis
Why are charts important? Why not just use summary statistics and similar outputs? This post explains one reason why you should always visualize your data.
Here’s How Each 2020 Democratic Presidential Candidate Frontrunner is Spending Their Money
We’ve analyzed the line-by-line campaign operations expenses of the following 2020 Democratic presidential candidates and created a straightforward, easy-to-digest perspective.
How Much Have the Democratic Presidential Candidates Raised and Spent?
On January 31, the 2020 Democratic Presidential candidates submitted their end-of-year finance reports to the FEC. The filings give us a limited (but informative) window into 2020 Democratic presidential candidate fundraising and spending up to this point.
Advice for New Data Professionals
Whether you specialize or decide to take the “full-stack data scientist” path, here is some advice to set you up for success as a new data professional.
Visualizing Phylogenetic Relationships of 2019-nCoV | The Wuhan Coronavirus
The Xyzology Data Lab showcases some phylogenetic trees to illustrate how the 2019-nCoV coronavirus relates to other well-known viral pathogens.
Walkthrough: Exploring Anscombe’s Quartet in R
This is a sister post to “Why are Charts an Important Part of Statistical Analysis?” Here, you’ll find the R Scripts required to explore Anscombe’s Quartet.
The Four Different Types of Analytics
There are four primary types of analytics that everyone working with data should know. Even though they all fall within the umbrella of Data Analytics, they have entirely different objectives.
Fixing Your “Too Many Spreadsheets” Problem
Spreadsheet Forests are as damaging as they are ubiquitous. However, they can be effectively managed if you keep a few things in mind.
Common Data Observation Patterns and What They Mean
Identifying common data observation patterns is core data literacy skill. Anyone using data to inform their work must master these basics.
How to Improve Data Literacy at Your Data-Driven Workplace
Poor workplace data literacy is pervasive. While things like data rot and data stagnation will wreak havoc on your operations, not establishing and improving data literacy at your organization will completely obstruct all your data-driven dreams.