Data Science Blog | Practical Techniques (10)

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Data Exploration with Pandas Profiler and D-Tale

We all have heard how data is the new oil. I always say that if that is the case, we need to go through some refinement process before that raw oil is converted into useful...

How to run PySpark on a 32-core cluster with Domino

In this post we will show you two different ways to get up and running with Spark. The first is to use Domino, which has Spark pre-installed and...

Data Science Code Practical Techniques Python

Social Network Analysis with NetworkX

Many types of real-world problems involve dependencies between records in the data. For example, sociologist are eager to understand how people...

Data Science Code Practical Techniques Python

Pandas Categoricals

Guest post by Matthew Rocklin Pandas Categoricals efficiently encode and dramatically improve performance on data with text categories Disclaimer:...

Data Science Code Practical Techniques Python Pandas data

Geographic visualization with R's ggmap

Have you ever crunched some numbers on data that involved spatial locations? If the answer is no, then boy are you missing out! So much spatial data...

Data Science Code Practical Techniques R

Deep Learning with h2o.ai

This post provides a brief history lesson and overview of deep learning, coupled with a quick "how to" guide for dipping your toes into the water...

Data Science Code Machine Learning Practical Techniques R Python Deep Learning

Reflections on "Buy vs Build" for Data Science Tools

“Buy vs build”, “not-invented-here syndrome” and even “invented-here-syndrome” have been written about extensively. I want to share a few reflections...

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Topic modeling in 9/11 news articles

This is a guest post by Dan Morris. The interactive dashboard and the code are also available. This post describes a project to visualize topics in...

Data Science Model Management Practical Techniques Python model

How to Do Factor Analysis in R

This is a guest post by Evan Warfel. What is Factor Analysis? P-values. T-tests. Categorical variables. All are contenders for the most misused...

Data Science Code Practical Techniques R

Interactive dashboards with knitr and htmlwidgets

Introduction htmlwidgets for R is a nifty R package that lets you easily generate interactive visualization. There are already widgets for...

Data Science Practical Techniques R

How to Get Started with the Data Science Bowl

I am thrilled to share a Domino project we’ve created with starter code in R and Python for participating in the Data Science Bowl. Introduction The...

Data Science Code Practical Techniques R Python

Visualizing home ownership with small multiples and R

This is guest post by Antonio Sánchez Chinchón. The "small multiples" visualization technique was introduced by Edward Tufte, one of the current...

Data Science Code Practical Techniques R

Cloud Security: The right way to worry

Here’s a question we hear a lot: We’re not that comfortable with the cloud from a security perspective -- can you install Domino on premise? The...

Data Science Leaders At Work Engineering Practical Techniques Data Science Leaders IT data

Getting error bounds on classification metrics

This is a guest post by Casson Stallings. Error bounds, or lack thereof Calculating error bounds on metrics derived from very large data sets has...

Data Science Code Machine Learning Practical Techniques Python

Using data science to get a good deal on a Macbook

This is a guest post by Ajay Sharma. Introduction I created a Python project that grabs Craigslist postings in New York for Macbook Air 13" and...

Data Science Code Practical Techniques Python

40-percent faster R without any code changes

Starting today, anyone running R code on Domino can use Revolution R Open, to dramatically improve their performance without any code changes. ...

Data Science Code Practical Techniques R

User stories: how Domino helps a data scientist create "unicorn-level deliverables"

We asked our users to tell us stories about how they're using Domino. This is what we heard from Laura Lorenz, a Data Scientist at StockUp. I...

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