Analytics Dispatch Archive
A weekly email about data, data science, and analytics. Curated by the team at Mode.
The rise of HuggingFace
Data teams as product teams. Prevalence vs incidence. Māori language data.
5/3/2021
Why you should hire an information architect
Mapping police violence. Language tech. Evolving music tastes.
4/26/2021
Accessible data visualizations
New: data freshness integration with dbt. Algorithmic bias in models. Training neural networks.
4/19/2021
How to invest in junior talent
New: calculated fields in explorations. Self-serve analytics. Clearview AI database.
4/12/2021
Avoiding inflated A/B test results
DataOps unleashed. Data in phulkaris. Date-time handling for R.
4/5/2021
SaaS data science
Uber’s data culture. Reducing toxicity in language models. Switching-replication design.
3/29/2021
Gaps in your analysis process
Bayes applied articles. Data-proficient organizations. Pandemic data failings.
3/22/2021
Daylight savings gripes
Time series forecasting with Torch. Minimum wage changes. Getting data out of Excel files.
3/15/2021
2020 Python developers survey
Github + RStudio. Data science is different. CA exodus... not so much.
3/8/2021
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
