Analysis

! In case you’ve been following along, we’ve come a good distance. In Part 1, we did the “dirty work” of cleansing and prepping. In Part 2, we zoomed out to a high-altitude view of...

! Welcome back to the “EDA in Public” series! That is Part 2 of the series; when you haven’t seen Part 1 yet, read it here. Here’s a recap of what we conquered. In Part...

this text, I’ll show you learn how to use two popular Python libraries to perform some geospatial evaluation of traffic accident data inside the UK. I used to be a comparatively early adopter of...

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has been like classical art. We used to commission a report from our data analyst—our Michelangelo—and wait patiently. Weeks later, we received an email with an impressive hand-carved masterpiece: a link to a...

data all the time brings its own set of puzzles. Every data scientist eventually hits that wall where traditional methods begin to feel… limiting. But what if you happen to could push beyond those limits...

under uncertainty is a central concern for product teams. Decisions large and small often must be made under time pressure, despite incomplete — and potentially inaccurate — information concerning the problem and solution...

Show code library(tibble) library(ggplot2) library(dplyr) library(tidyr) library(latex2exp) library(scales) library(knitr) Over the past few years working in marketing measurement, I’ve noticed that is one of the vital poorly understood testing and measurement topics. Sometimes it’s misunderstood and sometimes it’s not applied in...