I was inspired by Andrew Collier’s blog post Life Expectancy by Country where he illustrated how to create a bubble chart that compares female and male life expectancies for a number of countries based on the...continue reading.
I PROGRAMMER’s Kay Ewbank’s reviews Getting Started with Data Science: Making Sense of Data with Analytics.By Kay EwbankIf you’ve enjoyed books such as Freakonomics or Outliers, you’ll feel at home...continue reading.
Computing platforms should be like Lego. That is, they should provide the fundamental building blocks and enable the users’ imagination to innovate. The latest issue of Stata Journal exemplifies how...continue reading.
I am pleased to update you on the Data Science Boot Camp we ran at the Ted Rogers School of Management at Ryerson University in Toronto in collaboration with IBM’s...continue reading.
As is the case with most quant software, it’s a bit different from run-of-the-mill software. The somewhat prosaic world of …Continue reading →continue reading.
Testing is an often overlooked yet critical component of any software system. In some ways this is more true of …Continue reading →continue reading.
The recent flare-up in discussions on p-values inspired me to conduct a brief simulation study. In particularly, I wanted to illustrate just how p-values vary with different effect and sample sizes. Here are...continue reading.
(The post below is motivated by my friend Matt Flynn https://www.linkedin.com/in/matthew-flynn-1b443b11) In the context of operational loss forecast models, the standard Poisson regression is the most popular way to model...continue reading.
[This post is a draft for Table.co technical blog]Graphs can be used as proper data structure in many applications from marketing data to social networks. It is amazing how representing...continue reading.
fidlr is an RStudio addin designed to simplify the financial data downloading process from various providers. This initial version is a wrapper around the getSymbols function in the quantmod package and...continue reading.
Earlier this month, IBM Press and Pearson have published my book titled: Getting Started with Data Science: Making Sense of Data with Analytics. You can download sample pages, including a...continue reading.
Evaluation metrics play a critical role in machine learning ecosystem. Especially for machine learning products, evaluation metrics are like the heart beats. They show how healthy the model is and...continue reading.
Evaluation metrics play a critical role in machine learning ecosystem. Especially for machine learning products, evaluation metrics are like the heart beats. They show how healthy the model is and...continue reading.
In the world of big data and real-time analytics, Microsoft users are still living with the constraints of the bygone days of little data and basic numeracy.If you happen to...continue reading.
Are you in Montreal and curious about big data? Well here is your chance to attend a session about the same at Concordia University on Tuesday, Nov. 03 at 6:00...continue reading.
Consider the following two spark dataframes:df1.show()+—-+——+——-+|id_a|time_a|value_a|+—-+——+——-+| 1| 1| CA|| 1| 2| CA|| 2| 1| TX|| 3| 5| NE|| 4| 6| WA|+—-+——+——-+df2.show(…continue reading.
For a long time, people have been sending me requests for a suitable smoothing / contouring / interpolation geometry be made available via ggtern, over and above the Kernel Density...continue reading.
I don’t understand why any researcher would choose not to use panel/multilevel methods on panel/hierarchical data. Let’s take the following linear regression as an example: , where is a random...continue reading.
Wikipedia is, indeed, one of the largest free access crowdsourcing [1] sources of information in today’s world. Every day, thousands of people land on its pages to get information about...continue reading.
In my last post, I compiled and cleaned publicly available data on over 4.5 million stops over the past 11 years. I also presented preliminary summary statistics showing that blacks had...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
