Analytics Dispatch Archive

A weekly email about data, data science, and analytics. Curated by the team at Mode.

• Your first data hire

  Orbit model. Data observability. Pandas tutor.

  12/27/2021

• Why a bicycle takes 40 days to reach Singapore

  Estimating the geographical area of a real estate agent. Creating community. Connecting data to charts.

  12/20/2021

• Why data scientists quit

  Biggest misconception in data viz. Intro to R. Data is for dashboards.

  12/13/2021

• Introducing Visual Explorer

  A new flexible visualization system. Data analysis failure. Does data make us cowards?

  12/6/2021

• Africa’s rising cities

  The missing analytics exec. Spider charts. Transformers from scratch.

  11/29/2021

• Why machine learning hates vegetables

  Python data viz libraries. Zillow hot takes. Measuring analytical work.

  11/15/2021

• Our take on prescriptive analytics

  Vanishing tropical rainforests. Universal holdout groups. Data and dollars.

  11/8/2021

• Analyzing JSON data with SQL

  COP26. PMs with data science backgrounds. Yelp for the enterprise.

  11/1/2021

• Halloween candy power ranking

  BI is dead. R generative art. Data from images.

  10/25/2021

• The narrow AI research path

  NHL analytics. Pest detection AI. Hidden analyses.

  10/18/2021

• How to get a job at DeepMind

  Dangerous air. EV emissions. Reaching ML enlightenment.

  10/11/2021

• Rethinking code interviews

  2021 data landscape. Free Python resources. Data viz accessibility.

  10/4/2021

• The problem with folders and files

  Is BI dead? Submarine fiber optic cable network. Data skills for reproducible research.

  9/27/2021

• Tilt and tilted

  Why data scientists don’t need k8s. Bad labels. Participatory data stewardship.

  9/20/2021

• The data OS

  Participatory data stewardship. Python packages. Quasi-mystical arts of data.

  9/13/2021

• Software design tips for data scientists

  NLP benchmarking. Teaching the tidyverse. NFL games to watch.

  9/7/2021

• The modern data experience

  introverse. An old hacker’s tips to staying employed. R².

  8/30/2021

• Visualizing ordinal variables

  The creepiest word in Macbeth. Locally source R scripts. Causal inference.

  8/23/2021

• Mathy jobs

  Modern data stack divide. Visualizing a codebase. Demographic data.

  8/16/2021

• Analysts are like honeydew

  Purple people. Building in-house data teams. Mobile Shiny apps.

  8/9/2021

• In defense of simple charts

  BBC graphics in R. Time spent during the pandemic. Building a data team at a mid-stage startup.

  8/2/2021

• Analytics is at a crossroads

  Github Copilot. Machine learning in a hurry. Communities for underrepresented data scientists.

  7/26/2021

• Breaking data viz rules

  Data’s big whiff. R code detectives. Raincloud plots.

  7/19/2021

• Behind the “Heat Index”

  Sports analytics office hours. How to feel about a tie. NYPD complaints network analysis.

  7/12/2021

• Measuring the impact of data education

  Product usage segmentation. The shower problem. Machine learning cohorts.

  6/28/2021

• The case against SQL formatting

  Causal salad. Measuring movements. A sports analytics reading list.

  6/21/2021

• What the heck is a data mesh?

  Hash aggregates. Templates. Timnit Gebru and Google.

  6/14/2021

• The self-serve shibboleth

  Metadata architectures. Reusing code chunks in knitr. Palette app.

  6/7/2021

• Analytics engineering everywhere

  Product decisions with iterative analytics. The Economist Q&A. Library of Congress data.

  5/31/2021

• Analytics is a mess

  Data capitalism. Data viz mistakes. Flat data.

  5/24/2021

• America’s broadband problem

  Marketplace survival and growth. mltrace. Twitter profile pic optimization.

  5/17/2021

• The urban shuffle

  NBA MVP race. SQLite databases on Github pages. ggstream.

  5/10/2021

• 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

• Switching from Excel to SQL

  Peloton stats. Delegation is a superpower. How to read research papers.

  1/3/2021

• 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