The Evolution of Python for Data Science
Click here to learn more about author Steve Miller. I’ve been programming in Python for almost 15 years. When I started around 2001, I was doing most of my non-statistical work in C and Perl, the early...
View ArticleTop Tools Used By Data Scientists
by Angela Guess Andrew Rosenblum recently wrote in Business2Community, “You’ve read about many of the kinds of big data projects that you can use to learn more about your data in our What Can a Data...
View ArticleWeb-Scraping for Data Science – Part 1
Click to learn more about Steve Miller. Scraping data from the web is a task that’s essential to the data scientist’s hacking portfolio. The complexity of work ranges from sophisticated crawling that...
View ArticleA Guide to Python and R: When to Use Which for What
by Angela Guess Roger Huang recently wrote in The Next Web, “At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a...
View ArticleWeb Scraping for Data Science — Part 2
Click here to learn more about author Steve Miller. Read Part 1 of this blog series here. Between R and Python, analytics pros are covered on most data science bases R-Python. In last month’s blog, I...
View ArticleNew Jobs Analysis with Python
Click here to learn more about author Steve Miller. The presidential race is heating up as primaries come to an end. And if it’s Trump vs Clinton, there’ll be no shortage of strong opinion among the...
View Article10 Programming Languages Used by Today’s Data Science Pros
by Angela Guess Jessica Davis recently wrote in InformationWeek, “Looking to break into the field of data science or to gain the skills to be able to transition to this field in the future? Interested...
View ArticleMy Stock Market Index Dashboard with R, Plotly, and the Plotly Cloud
Click here to learn more about author Steve Miller. It’s been difficult for me to ponder my 2016 stock index dashboard this week, the markets roiled by the turmoil of Brexit taking a toll on my fragile...
View ArticleSAS, R, or Python – Enter World Programming System (WPS)
Click here to learn more about author Steve Miller. With more than a little serendipity, I came across a report detailing the results of the third annual survey by Burtch Works Executive Recruiting,...
View ArticleEfficient Machine Learning in H2O with R and Python, Part 1
Click to learn more about author Steve Miller. One of the major benefits of working with R and Python for analytics is that there’re always new and freely-available treats from their vibrant open...
View ArticleA Common File Format for Python Pandas and R Data Frames
Click here to learn more about author Steve Miller. I’ve been doing analysis on a Chicago Crime data set off and on the last few of months, using the now ubiquitous Jupyter Notebook to manage my work....
View ArticleFrequencies in R — Part 1
Click here to learn more about author Steve Miller. I’m often asked to name the most common statistical procedure used in my company’s Data Science work. My answer, only partly in jest, is frequencies...
View ArticleFrequencies in R — Part 2
Click here to learn more about author Steve Miller. In last month’s blog, I compared several functions that compute frequencies and crosstabs in R. The ones I’ve worked with primarily, and the foci of...
View ArticleImportant Big Data Additions to the R Analyst’s Toolchest
After my partner read my last blog, Frequencies in R — Part 2, where I used R’s data.table and dplyr packages to construct performant frequencies procedures on an in-memory 27M+ row, 30 attribute...
View ArticleHomicide and Violent Crime in Chicago – a First Look at the Data with R
A recent article in Atlantic highlights what had been emerging locally for over a year: Chicago suffered a disturbingly sharp spike in homicides in 2016, after a smaller but still noticeable surge in...
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