R is a programming language created by Ross Ihaka and Robert Gentleman in 1993. It was designed for analytics, statistics, and data visualizations. Nowadays, R can handle anything from basic...continue reading.
Using multiple languages is a huge advantages when people choose notebooks over standard code files. And with notebooks in Azure Data Studio without switching the kernels, you can stay on...continue reading.
I created a project to showcase topic modeling with the tmtoolkit Python package: I use a corpus of articles from the … Read More →continue reading.
This tutorial will show you how to use Pandas drop duplicates to remove duplicate rows from a dataframe. The tutorial will explain what the technique does, explain the syntax, and...continue reading.
Introduction Sleeping, and python. Two of my favourite things, when combined with the the Python Fitbit library, Matplotlib, and Pandas, can generate informative plots of your sleeping habits! This post...continue reading.
In this tutorial I’ll show you how to use the np.random.uniform function (AKA, Numpy random uniform). I’ll explain what the function does, explain the syntax, and show you clear examples...continue reading.
Mark your calendars! Join Appsilon at the Why R? Conference on Thursday, November 12th @ 8PM UTC+1 / 2PM EST for two talks by Appsilonians. We will discuss wildlife preservation...continue reading.
This tutorial explains how to use the Numpy argmax function. It explains the syntax of np.argmax, and also shows step-by-step examples. You can click on any of the links below,...continue reading.
In this tutorial I’ll show you how to use the Pandas unique technique to get unique values from Pandas data. I’ll explain the syntax, including how to use the two...continue reading.
In this tutorial, I’ll explain how to use the Pandas assign method to add new variables to a Pandas dataframe. In this tutorial, I’ll explain what the assign method does...continue reading.
In this tutorial I’ll explain how to use the Numpy round function (AKA, np.round). I’ll explain how the function works, and I’ll also show you some step-by-step examples of how...continue reading.
Special thanks to Plotly investor, NVIDIA, for their help in reviewing these open-source Dash applications for autonomous vehicle R&D, and Lyft for initial data visualization development in Plotly. Author: Xing...continue reading.
Don’t we all miss 2019 (blame Covid for the long delay in this post). The days of going to work and seeing your work colleagues face to face – and...continue reading.
In this tutorial, I’ll explain how to use the np.random.randn function (AKA, Numpy random randn). The tutorial is divided up into several different sections, including a quick overview of what...continue reading.
In this tutorial, I’ll explain how to use the Numpy floor function, which is sometime called np.floor. I’ll explain the syntax of np.floor and how the function works. I’ll also...continue reading.
Data visualization is extremely important in data science. Although you often hear about the importance of data manipulation (i.e., “80% of data science is data manipulation”), data visualization is just...continue reading.
One of the biggest questions from data science students is what to focus on. All of us have limited time and there is a lot to learn in data science....continue reading.
In this tutorial, I’ll explain how to use the Numpy absolute value function, which is also known as np.abs or np.absolute. Ultimately, you’ll learn how to compute absolute values with...continue reading.
Colton Smith & Kevin Schneider Risk-neutral probability distributions (RND) are used to compute the fair value of an asset as a discounted conditional expectation of its future payoff. In 1978,...continue reading.
A few weeks ago one of my students sent me an email. He’s a student of our Numpy Mastery course, and he was playing around with some Numpy techniques that...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
