Analytics Dispatch Archive
A weekly email about data, data science, and analytics. Curated by the team at Mode.
Picking your next binge watch
NFL simulations. Machine learning reliability engineering. How much stats do you need?
3/1/2021
Pie chart en français
Data literacy. AI impact on queer communities. WTF Python?
2/22/2021
AI incident database
Data feminism. Flowers in data viz. Sports analytics 101.
2/15/2021
Running your data science team
Facial recognition datasets. DS in urban planning. Data wrangling in R.
2/8/2021
The case for humility in tech
Intro to Shiny. Cats in your R plots. How to scope down PRs.
2/1/2021
Data science portfolios 101
Inauguration palette. Senate generations. Good storytellers.
1/25/2021
Why you should do NLP beyond English
Data is plural archive. Anomaly detection with SQL. Google Books API.
1/18/2021
Baking with machine learning
Data justice. Level up your reports. Best data-driven stories of 2020.
1/11/2021
STEM Ph.D. not required
Real-time ML. Analysis paper trail. Underlying values of ML research.
1/4/2021
How bad is your Spotify?
2020 datasets. COVID-19 vaccine inequalities. Core concepts.
12/28/2020
Data and its (dis)contents
R tutorials. Kim Eng Ky profile. Data scientist productivity.
12/21/2020
Data meta-metrics
Systemic racism in our data. Analysis for product development. R in JavaScript.
12/14/2020
Building diverse data teams
Timnit Gebru. Datasheets for datasets. Data science tools at Spotify.
12/7/2020
Indigenous AI
Keyboard shortcuts. The four jobs of a DS. Feature store.
11/30/2020
Election night with Biden’s data guru
A custom corpus. Politics in the workplace. What polls and business teams have in common.
11/23/2020
We’re all dashboard junkies now
Egos and emotions. COVID-19 event risk assessment tool. Spatial causal inference.
11/16/2020
Imposter syndrome in data science
Job hunting. Algorithm decision-making. What data science blogs don’t tell you.
11/9/2020
Why you should care about form extraction AI
A stats history lesson. CSS in R. Weird AI Yankovic.
11/2/2020
When good data analyses fail
Why have a data science portfolio? Modern data infrastructure. Teaching Python to beginners.
10/26/2020
Augment, don’t automate
Bayes rules. Ballot counting. Bias in compressed models.
10/19/2020
Before R, there was S
Git for R users. Debunking the Target pregnant teenager myth. Tracking Plandemic.
10/12/2020
A tale of query optimization
Decolonizing computational sciences. Machine learning tech debt. Ben & Jerry’s.
10/5/2020
Working at Amazon
New: calculated fields! Evil data scientist thought experiment. Data request intake form.
9/28/2020
The hardware lottery
Debunking narrative fallacies. Data organization in spreadsheets.
9/21/2020
What can data scientists learn from DevOps?
Pycon Africa. Modular data stack. ML testing.
9/14/2020
Data team ROI
Improving ETAs. AI ethics. sklearn + Flask + Docker.
9/8/2020
Machine learning for agriculture
Big book of R. Biased dataset. Ethical AI at Salesforce.
8/31/2020
Preventing a “Meow” attack
New: Python Edge. End-to-end data scientists. Visualization mirages.
8/24/2020
Are dashboards dead?
New: Mode Explorations. The whiteness of AI. Python typosquatting.
8/17/2020
Algorithmic colonization of Africa
Uber’s data quality monitor. How ML & DS work together. Calculated fields.
8/10/2020
Scrum for data science
Categorizing products at Shopify. The most popular high school plays. AI harms.
8/3/2020
The future of data governance
Writing alt text for data viz. Applied machine learning. 5 popular window functions.
7/27/2020
How to lead through a pandemic
Data Analyst 3.0. Stress during technical interviews. Atlas of surveillance.
7/20/2020
The evolution of a ggplot
Data infrastructure at Netflix. Shipping ML projects. The case-death gap.
7/13/2020
Linear regression in SQL
NLP with Spacy. Making machine learning actually useful. Adventures in R.
7/6/2020
Motherhood in tech
Pull request study. Ethics in NLP. Tips for a PhD.
6/29/2020
Decision-making in a time of crisis
The gaps between white and Black America. GitHub actions for data science. Common table expressions.
6/22/2020
The facial recognition fallout
Data as protest. Causal inference. Machine learning in production.
6/15/2020
Black Lives Matter
Amplify Black voices. Protect Black lives.
6/8/2020
Data science dominates fantasy football
Bye, Internet Explorer. Exploring missing values. Pixelate to communicate.
6/1/2020
How to evaluate customer health in a pandemic
Ubuntu ethics in AI. Rules-based models. Scalable user privacy.
5/25/2020
Data scientists in academia
Fuzzy name matching. Solar’s cheap future. Deleting data across microservices.
5/18/2020
Bye, data lake. Hello, data mesh.
Animal Crossing sentiment analysis. Mode improvements. Tricky predictions.
5/11/2020
Making sense of COVID-19 models
Boosting A/B test power. Shortcuts of Mode power users. Uncertainty visualization.
5/4/2020
Cheating at Scrabble with Python
What developers need to know about databases. NYC sidewalk widths. Unprecedented line charts.
4/27/2020
The unemployment rate may be a useless metric
Machine learning in R. Homeschooling + working.
4/20/2020
The evolution of the American Census
Slack guidelines. Rice measurements. Hadley Wickham interview.
4/13/2020
How Netflix measures product success
R packages for exploratory analysis. Building data science infrastructure. Making model diagrams.
4/6/2020
Health and safety first. Bracing for economic impact second.
Weathering economic headwinds. Building DS infrastructure. Visualizing different things about COVID-19.
3/30/2020
How the coronavirus might impact hospitals
COVID-19 tracking project. Data inclusivity. Medical lit primer.
3/23/2020
Data science at Stitch Fix
Responsible coronavirus viz. Going remote. Exponential growth.
3/16/2020
Data centers are the new oil
Twitter for R programmers. Big NLP database. DS research challenge areas.
3/9/2020
Spotify’s data discovery platform
Grubhub’s model deployment tools. Deep learning book series. Gender identify data.
3/2/2020
Managing Gitlab's data team
How AI businesses are different from software. Data-driven weather forecasting. Recommender model metrics.
2/24/2020
The data engineering hierarchy of needs
Understanding uncertainty. Bokeh tutorial. Everyday dev tools.
2/17/2020
Google’s on a ML publishing streak
10x data scientists? No thanks. A Timsort history. Flow fields.
2/10/2020
Avoiding the coronavirus on your flight
Farewell, OLAP cube. Data training for the underserved. Reinforcement learning curriculum.
2/3/2020
Data science consulting: a retrospective
Wayfair product ranking. Misconceptions about names. A first grade deep learning model.
1/27/2020
Trailing vs. leading commas
Data engineering observability. Global power lines. Code skills check-in.
1/20/2020
Data viz goes mainstream
4 helpful distribution charts. A data project checklist. Interactive tools for ML.
1/13/2020
A decade of differences
Machine learning for the real world. A fun SQL problem. An R cookbook.
12/30/2019
Machine unlearning
State of JS. Getting help in R. Keeping it simple.
12/23/2019
Instagram’s recommender system
ACLU’s data transformations. Board games + data viz. User-Agent history.
12/16/2019
Biased algorithms vs biased people
Deep learning in production. AI text adventures. Guido Van Rossum.
12/9/2019
Interview tips
Machine learning systems design. Calculating customer types. Democratic primary.
12/2/2019
Algorithms in the courtroom
Film flowers. A new R color palette. Machine learning engineering.
11/25/2019
The rise of the analytics engineer
Working in football analytics. “Biased data.” Churn correlations.
11/18/2019
Finding consulting clients
A funny dataset. A cleaning package. A new way to measure intelligence.
11/12/2019
Squirrel census
Character encodings. Detecting audio deepfakes. DS archetypes.
11/4/2019
Better buffet lines
Boring technology. Metrics problems. Racially-biased medical algorithms.
10/28/2019
2019 coding salaries
PyTorch vs TensorFlow. Country goodness. A neural net rabbit hole.
10/21/2019
AI deserts
Introducing Helix. Time series databases. Fall foliage.
10/15/2019
How America moves its homeless
1-line data exploration. Survival analysis. Handling dates.
10/7/2019
Log liabilities
Neural network design. Chart taxonomies. Analyzing Amazon purchases.
9/30/2019
Flunking the fourth down
Red flags in interviews. Data integrity. Fashion algorithm.
9/23/2019
Trash data
Lyft’s hyper-accurate maps. Neural net DM. Selling data science.
9/16/2019
The care and feeding of data scientists
Data sculptures. Load testing. Abstractions.
9/9/2019
Credit card conundrums
DS salaries. UX of data. Stats 101.
9/3/2019
Lyft’s query engine
Speedy ML. Fitness app data. NPS overnight stays.
8/26/2019
Exploring Bob Ross paintings
Mastering Shiny. DeepMind’s losses. Music trends.
8/19/2019
Hackers gonna hack
More time, please. Pandas tricks. Animating data viz.
8/12/2019
Stitch Fix’s centralized experimental platform
Machine learning... learning. Behavior funnels. DS team models.
8/5/2019
Lyft’s self-driving dataset
Vision science. R-Ladies. “De-identification.
7/29/2019
Beyond Nightingale
Team names. Podcast structures. ML best practices.
7/22/2019
Magic AI
Free NLP course. Tidy log odds ratio. Colorspace.
7/15/2019
2019 data & AI landscape
Practical psychology for DS. Filling in missing music. Deploying models and microservices.
7/8/2019
Why you swipe right
BS AI industrial complex. Marketing automation at Lyft. Word2vec.
7/1/2019
Python is weird
Hadoop’s failure. GANs everywhere. AI adoption.
6/24/2019
Deepfake propaganda isn't a thing
Neural nets name cats. Uncertainty in viz. Misunderstood data engineers.
6/10/2019
Python's Caduceus syndrome
Fashion deepfakes. Research quality data. Instagram analysis.
6/3/2019
Predictive grocery bills
Career advice. Liverpool's analytics. Type stable estimation.
5/27/2019
Advice from a Lyft data scientist
Fullstack D3. ML product management lessons. Matrices as tensor network diagrams.
5/20/2019
Stripe's ML infrastructure
Altair. Railyard. profvis.
5/13/2019
Make your own data
Wrangling data models. OpenAI GPT-2 for new texts. Javascript stats snippets.
5/6/2019
AI death metal
Fooling AI surveillance. Skittles math. Data viz on mobile and desktop.
4/29/2019
Addicted to models
DataCamp reflections. dplyr filter. Deadline statistics.
4/22/2019
How Uber scales customer support
Machine learning job hunt. Open GAN questions. The English block on programming.
4/15/2019
Money machines
Unintended consequences. Partnership culture. Active learning data labeling.
4/8/2019
Crimes against data viz
Data viz freelancing. Unpacking adversarial examples. Null reminder.
4/1/2019
Automated Instagram influencers
Escaping Excel hell. P-value put down. Harmonizing with Bach.
3/25/2019
DS vs ML vs AI
Advice for new data scientists. R surprises. Specialists vs generalists.
3/18/2019
The AI Diet
The art of analytical persuasion. Deep learning & mind reading. Time-to-event data.
3/11/2019
A cocktail's nearest neighbors
AI for rats. SQL vs Python for pipelines. NYT's data editor.
3/4/2019
You need a query library
Visual search engines. Face editing GANs. Tidy Tuesday.
2/25/2019
SQL is a super power
Data versioning. Deep learning limitations. Successful career transitions.
2/19/2019
Farewell, deep learning?
Podcasts. Data viz criticism. Health risk scores.
2/11/2019
Deepfakes blink first
ML project management. Analytics engineer. Minimally sufficient Pandas.
2/4/2019
30 minutes to answers
Data science jobs up 29%. Rstudio::conf recap. Curriculum roadmap.
1/28/2019
Moneyball for college
Why analytics initiatives fail. Model representation in R. Bye, mid-range shot.
1/22/2019
Data engineer required?
Uber's new AI. Location data for sale. Data roadmapping.
1/14/2019
Tech talk prep
2018 AI trends. Gender bias in Google Images. The power of great analysts.
1/7/2019
Mo models, mo problems
190+ R-stats tasks. KDEs. Selection bias.
1/2/2019
The Netflix data war
The saddest Christmas song. Data science vs engineering. Mongo → Postgres.
12/26/2018
The grossest stadium food
Next-gen GANs. Tidy tutorial. AI art gallery.
12/17/2018
How Instacart predicts grocery item availability
5 soft skills analysts need. State of deep learning. AI detected fields and crops.
12/10/2018
The evolution of chess
Airflow on your Macbook. Modeling time-lagged conversion rates. Google Earth open data.
12/3/2018
Craft breweries are common ground
Public opinion on algorithms. Obscure Tidyverse packages. Gov't data troves.
11/26/2018
Is this actually AI?
Data dictionaries. New McKinsey AI survey. Tidy Tuesday.
11/19/2018
Analysis over dashboards
Analytics-DevOps harmony. Tidyeval tutorial. Client engagement.
11/13/2018
Deepfake busters
3 million election ads. Other data science tools. Montezuma’s Revenge.
11/5/2018
AI art “thieves”
Satisfaction in ML careers. Making your product freemium. Relearning code.
10/29/2018
Seeing isn't believing
A summer at Airbnb. Deepfakes look too real. Analysts on production.
10/22/2018
Tricks for estimating uncertainty
Amazon's secret AI recruiting tool. Data PMs. Altair tutorial.
10/15/2018
Artwork personalization at Netflix
Chromebook data science. Shaky CDC data. An NLP history lesson.
10/8/2018
Build your own deep learning computer
Citizen data scientists. ML for coders. Connections across America.
10/1/2018
Visualizing uncertainty
Anatomy of an AI system. Reproducing ML projects. 5 public datasets to explore.
9/24/2018
Retracing your steps in machine learning
Strata slides. A DS ethics checklist. Life expectancy in your neighborhood.
9/17/2018
Who is Anonymous?
PhD considerations. SQL vs Python. Machine translators.
9/10/2018
China reigns with data
California's wild fires. Integrating Ml into a product. Twitter toxicity.
8/27/2018
The patriarchy of pockets
SQL queries for Salesforce. The beauty of annotations. Capturing data evolution.
8/20/2018
The hazards of A/B testing
BigQuery table clusters. Unpacking an NLP Twitter thread. First days on the job.
8/13/2018
Know your blindspot
3 million troll tweets. The Holy Grail of email. Partitioning variation.
8/6/2018
Political bubbles
IMDb analysis. Differentiatiable image parameterizations. ACL 2018 highlights.
7/30/2018
Reinforcement learning's fundamental flaw
W. E. B. Du Bois' data viz. Machine learning glossary. Speedier R work.
7/23/2018
Doing good data science
What do ML practitioners do? Ditching microservices. Feature-wise transformations.
7/16/2018
Apple Maps is reborn
What 85-year-olds are up to. Red flags in interviews. 12 ggplot2 extensions.
7/9/2018
LeBron's next pick
2018 data viz survey. Data engineering frameworks. ML papers with code.
7/2/2018
The best Mario Kart character
Constrained optimization. Census oddities. Bias-variance tradeoff.
6/25/2018
Predicting the World Cup
ML's future is tiny. One year as a data scientist. Problems with gender classification.
6/18/2018
Remote vs non-remote workers
Shazam, for Congress. The future of data engineering. Trustworthy data analysis.
6/11/2018
Is UTC enough?
Better training data. Rethinking academic data sharing. Volcanic history.
6/4/2018
An abundance of Ns
purrr tutorial. LaCroix color palettes. The challenges of Smart Compose.
5/21/2018
The structure of standup
Strategies for optimizing Python code. The NYC subway crisis. Russian Facebook ads.
5/14/2018
Terrifying talks
Attracting top notch candidates. Data violence. Linear vs log scale.
5/7/2018
The taxonomy of food
Grubhub's seemingly impossible data problem. Qualitative before quantitative. R package dependencies.
4/30/2018
Space junk
Mode Studio. A Shiny app for Fido. Streaming 100 billion analytics events.
4/23/2018
The future is modular
Why data scientists should take a hippocratic oath. Machine learning at Conde Nast. New viz tools.
4/16/2018
CNN vs MSNBC vs Fox
Odes to notebooks. Overcoming objections. Lumpers and splitters.
4/9/2018
The evolution of Stephen Curry
Academia → industry. Lessons from video games. TensorFlow sans setup.
4/2/2018
You've got one (million) shot(s)
A massive NCAA data set. GANs + art. The benefits of blameless postmortems.
3/26/2018
Ethical code
Stack Overflow's developer survey. Docker for deep learning. Data-driven unit testing.
3/19/2018
How neural networks decide
SQL → Pandas. Prophet in Mode. Visualizing outliers.
3/12/2018
300 years of data viz
Love for the star schema. 8 in-app analytics examples. “Wall time” semantics.
3/5/2018
How long's the wait?
Down with pipeline debt. Malicious use of AI.
2/26/2018
All you knead is love
Pythonic cookies. A data viz engineer definition. Manifesto for data practices.
2/19/2018
Quad-tum mechanics
The Olympics. ML models you haven't built. Visualizing missing data.
2/12/2018
Why recommendation engines fail
Awesome in-app analytics. Another data privacy mishap. DJ Patil rallies the troops.
2/5/2018
The Oscars game plan
Window functions in Python & SQL. The future of pandas. Free resource roundup.
1/29/2018
Imposter no longer
Data engineering for dummies. The mortality rate of JS frameworks. A new DS podcast.
1/22/2018
Follow the tea trails
Graphics reporter Q&A. Automating front-end. Job hunting post mortem.
1/15/2018
Where athletes come from
Selecting a cloud provider. Academia → industry. Early-stage analytics.
1/8/2018
No free lunch
Junior DS roles. A literal gamechanger. ML technical debt.
1/2/2018
Google Maps' Moat
The next Bechdel Test. PyCon proposal myths. A re:Invent recap.
12/26/2017
Now in 3D!
Apache Airflow, explained. The 3rd dimension of customer success analysis. Molecule's custom reports.
12/18/2017
Postgres is hip again
U.S. AI threatened. NIPS highlights. Median pitfalls.
12/11/2017
Hadoop or laptop?
Netflix's A/B test alternative. Predicting palliative care. Building a deep learning library.
12/4/2017
A measure of fairness
Ethics in practice. Data meta-metrics. Numerical optimization.
11/27/2017
Tracking your Thanksgiving
Crossword heatmaps. Generative music. Tips for building a diverse data team.
11/20/2017
Trophy data scientist
The 3-degree world. Causal inference. Changepoint analysis.
11/13/2017
What's real?
Halloween episodes. Ethical responsibility. Word cloud designs.
11/6/2017
Streaming Spotify data
4 data mistakes startups make. Interviewing data scientists. A massive font database.
10/30/2017
Trust the process
NBA analytics. Power calculations. State of data journalism.
10/23/2017
A dirty dozen
12 A/B test pitfalls to avoid. Taxis vs cabs vs the subway. Evaluating ETL tools.
10/16/2017
The Nate Silver Effect
zulily's data platform. R for journalists. The NYC job search.
10/9/2017
Something's rotten
Debunking studio exec claims. An ETL company's stack. What closes deals.
10/2/2017
Problems with probability
Accelerating GeoPandas. New R community. Making analytics meaningful.
9/25/2017
Data security for data scientists
Finding the best data jobs. Legos + text mining. Scalable machine learning.
9/18/2017
Troubleshooting neural networks
10x data scientists. 30 years of hurricanes. Communicating uncertainty.
9/11/2017
Improving the Zestimate
Language gaps. Packaging metrics. A Python cheat sheet.
9/4/2017
The Data Trust Gap
Foursquare's location intelligence. Giving your first data science talk. 10 Python mistakes.
8/28/2017
Exposing espionage
Optimizing for Burning Man. Choosing an ETL tool. Scaling with Python.
8/14/2017
Poetic Python
Cargo cult data science. Millions of Intercom messages. Query optimization.
8/7/2017
Facebook's AI factory
Predicting LTV at Airbnb. Technical debt in ML. What's difficult about histograms.
7/31/2017
Machine learning at Apple
Gender representation in comics. Data systems. Designing enterprise tables.
7/24/2017
Graphing Jane Austen's genius
Joy plots. How to spot a misleading graph. Marrying UX & ML.
7/17/2017
Flying blind
Rise of the data PM. Augmented reality viz. New NYC boroughs.
7/10/2017
Not Hotdog
Optimizing Reddit submissions. R at Microsoft. Blogging about data.
7/3/2017
A tale of two axes
Millions of doodles. 2 years at Stack Overflow. Coding on the go.
6/26/2017
Going vertical
3 stages of data infrastructure. 29 common Python errors. 200,000 Uber and Lyft trips.
6/19/2017
Big data B.S.
Root cause analyses. How histograms work. Analytics at Athos.
6/12/2017
Disney's algorithms
The MLB's new metric. How to hire a product analyst. The Paris Agreement.
6/5/2017
Mr. Rogers' rainbow
Airbnb's Data University. 30 GBs of federal payroll records. The top DS software.
5/29/2017
The Emoji States of America
Big news from Mode. The Hitchhiker's Guide to d3.js. Detecting overspend in AWS.
5/22/2017
Counting the hours
Duolingo's language learning model. Etsy's development process. Instacart's strategy for building DS teams.
5/15/2017
Airbnb's North Star
Winning marital arguments with R. 3 million Instacart orders. Dashboards that deliver.
5/8/2017
100 billion events
Spotify's event delivery system. Craft beers and Python. Data viz vs UI.
5/1/2017
Architecture of Giants
Machine learning flash cards. Teaching SQL. Analytics trends in 2017.
4/24/2017
The Stats of the Furious
Statistics in D3. Proving yourself without a degree. More on interactive viz.
4/17/2017
I saw the sine
Avoiding analytic rabbit holes. The Data Wheel of Death. Rebuilding an analytics stack.
4/10/2017
Winning at Scrabble
ML for product managers. Analytics for startup founders. Scrabble analyses.
4/3/2017
Subreddit math
Group-by from scratch. Corporate data viz. Test-driving Prophet.
3/27/2017
Perl is dead
Switching programming languages. Data hackathons. Is interactive viz done for?
3/20/2017
Open source burnout
A data GIF tutorial. DS on the Silicon Beach. Blind date data.
3/13/2017
Testing time series
Hiring a data scientist. The future of Airflow. Advice for switching careers.
3/6/2017
The Zero Bug
Predicting earthquake preparedness, partisan conflict, and feature engineering.
2/27/2017
Closed data
Online DS courses, ranked. Critical data literacy. Unlearning descriptive statistics.
2/20/2017
Remembering Hans Rosling
Spotting visualization lies. Data humanism. Encoding categorical values.
2/13/2017
Finding fake news
Mode's stance on Trump. ML at Fitbit. The cleanest NYC restaurants.
2/6/2017
The hottest year yet—again
Data science at Stitchfix. ML videos. A data engineer's manifesto.
1/30/2017
How stats lost their power
Redefining “AI.” Behind-the-scenes of sports analytics. Building a master data dictionary.
1/23/2017
A freelancer's tale
Uber Movement. Q&A w/ Monica Rogati. Visual vocabulary.
1/16/2017
Sack the coach
The NFL and causal inference. Generating poetry with Python. Classifiers from scratch.
1/9/2017
The great TV divide
Mid-career pivots. TV fandoms. Rationality + empathy.
1/2/2017
Bringing down the Empire
Star Wars casualties. The state of the DS job market. CAC calculations.
12/26/2016
Guerrilla archive
#DataRefuge. A chat with DJ Patil. Analyzing Google trends.
12/19/2016
Analyze the rainbow
Skittles debates. Time series analysis in Python. Ditching vanity metrics.
12/12/2016
Look ma, no polls!
A data detective story. BitTorrent for professors. Seasonality in search engines.
12/5/2016
The good ol' days
Rebuilding trust in analytics, data limitations, and a text analysis tutorial.
11/28/2016
Data wrangling Westworld
Data skills we all need, election post mortems, and runner routes.
11/21/2016
The non-election issue
UFO sightings data. 415 viz tools. The science of unpredictability in... science.
11/14/2016
When charts lie
Why data projects fail. An AI speechwriter. The end of baseball's analytics war.
11/7/2016
Double the Trump
Flash forecasting. The father of soccer analytics. A new viz technique.
10/31/2016
The David Spade Index
The problem with North Star metrics, the secret to designing smart products, and the popular vote.
10/24/2016
Data in the deep fryer
The impact of outliers, marathon performance, and why machine learning is like deep frying.
10/17/2016
Studying The Simpsons
Nobel Prize winners, your typical farmers market, and The Simpsons side characters.
10/10/2016
Data movie magic
The year's best data visualizations, fact checking the debate, and movie magic with data viz.
10/3/2016
Polling the pollsters
Gender roles in Hollywood, stats for soccer fans, and four results from one election poll.
9/26/2016
Income rising
Summary analysis, creativity in data viz, and the income increase.
9/19/2016
The state of data engineering
Digital economists, swing states, the art of asking good questions.
9/12/2016
What is Bayesian, really?
The pros and cons of urban cycling, rebuilding a Graphics team, and the joys of dot plots.
9/5/2016
In English, please
One color palette generator, 8 Python data cleaning libraries, and the fastest men in the world.
8/29/2016
End the language war
Visualizing clickbait, counting conundrums, and the problem with the Rio pool.
8/22/2016
Data journalists go for gold
Trump tweets, Olympic data viz, and tips for designing better tables.
8/15/2016
Visualizing Slack
A Star Trek network viz, ethics for algorithms, and the Olympics.
8/8/2016
Lies and statistics
Data viz developments, dodgy statistics, and genomics.
8/1/2016
Pokémon pandemonium
Amazon reviews, Bayesian thinking explained visually, and dashboard design.
7/25/2016
Half a decade of drought
Pop music genealogy, FiveThirtyEight's R workflow, and a series of stunning drought maps.
7/18/2016
Icarus, Oedipus, Cinderella
Data mining story arcs, theories of everything, and the history of the infographic.
7/11/2016
Brunch so hard
Feature engineering, cartogram challenges, and an analysis Leslie Knope would love.
7/4/2016
Brexit breakdowns
Plus: Mode now supports Plotly, data science portfolios, and fantasy football.
6/27/2016
The 'Hamilton' algorithm
Escaping Excel hell, real-time dashboards, and the Data Journalism Awards.
6/20/2016
Reddit's favorite field of science
Pie chart research, a Python cheat sheet, and machine learning for sales.
6/13/2016
The influence of 'In da Club'
50 years of pop music, hybrid intelligence, and HBR data viz advice.
6/6/2016
Following in Apple’s footsteps
Tighter data security, Foursquare + Uber, and data anonymization best practices.
5/30/2016
Calculus not required (plus big news from Mode!)
News on the Python front, 24 charting tools, and SF rental prices.
5/23/2016
A tale of two types of journalism
Sales data, pandas video tutorials, and data science in healthcare.
5/16/2016
Beyond 'The Touchscreen Generation'
Kalman filters, pandas tutorials, and why newsrooms should own their data.
5/9/2016
Foursquare the prophet
The power of proprietary data, pirated papers, and a glorious data viz catalog.
5/2/2016
Googling 'Game of Thrones'
12 data science methods and 1 big HBO show.
4/25/2016
Kobe's last shot
Thumbtack's data stack, storytelling at Jawbone, and 15 data viz interviews.
4/18/2016
Big Brother grew wings
FBI spy planes, measuring MRR, and the Hollywood gender gap.
4/11/2016
Mathematics is coming
Game of Thrones, scaling the data science org, and conversion optimization.
4/4/2016
Pity the pie chart
Lift analysis, genocidal chatbots, and the plight of pie charts.
3/28/2016
Harmony
Moneyball for book publishers, CAC, and the engineer-analyst relationship.
3/21/2016
Fuzzy numbers
Back-end analytics, help center metrics, and predicting police misconduct.
3/14/2016
Pointers from Steph
Shattering NBA records, 2 million chess games, and statistically significant growth hacking.
3/7/2016
Break out the bubbly
Punctuation in code, PM employee onboarding advice, and practical data science skills.
2/27/2016
Do the math
If Facebook were a pollster, BuzzFeed analytics, and the virtues of keeping things simple.
2/21/2016
A solar system of 'Tainted Love'
Interstellar cover songs, 10 TED talks, and the presidential primary.
2/14/2016
Mind the map gap
Central Africa's dearth of data, alternatives to open data portals, and data viz empathy.
2/6/2016
A new kind of parasite
Flint failings, research parasites, and Disney princess linguistics.
2/1/2016
13 years after Moneyball
Sabermetrics, DAU, and holiday shopper retention.
1/25/2016
Squirrels gone wild
Edtech analytics, Python prep, and Powerball.
1/18/2016
Hamlet's social network
Missing ordinals, football analytics, deep-learning chips, and more.
1/11/2016
A decade in the life
'Star Wars,' random projection, inviting dissent, and Nick Felton's final report.
1/4/2016
Getting closer to 'Her'
A machine intelligence progress report, mesmerizing viz, insightful data science talks, and delivery analytics.
12/21/2015
The fashionable side of data science
Best practices, Google's effect on the 2016 election, climate change, p-values, and data-related stocking stuffers.
12/14/2015
Hello, World!
Smiles, agriculture, Airbnb's data release, and more.
12/7/2015