The siuba python library brings the power of R's dplyr and the tidyverse to Python. Gain access to functions like group_by(), mutate(), summarize(), and more!
Pandas Profiling: Make Exploratory Data Analysis Reports
Pandas Profiling is an awesome python package for Exploratory Data Analysis (EDA). It extends pandas for statistical summaries including correlations, missing values, distributions, and descriptive statistics. It's great for understanding Data Quality too!
gghalves: Make Half Boxplot | Half Dotplot Visualizations with ggplot2
Course Launch: Python for Data Science Automation in 7 Days!
Python for Data Science Automation is an innovative course designed to teach data analysts how to convert business processes to python-based data science automations.
DataEditR: The GUI for Interactive Dataframe Editing in R
ggside: Plot Linear Regression using Marginal Distributions (ggplot2 extension)
patchwork: ggplot2 plot combiner
Now you can make publication-ready storyboards. Patchwork makes it simple to combine separate ggplots into the same graphic.
mmtable2: ggplot2 for tables
I love ggplot2 for plotting. The grammar of graphics allows us to add elements to plots. Tables seem to be forgotten in terms of an intuitive grammar with tidy data philosophy - Until now.
ggplot2 Extension: corrmorrant for Flexible Correlation Plots in R
Productivity is essential in data science. Businesses need value quickly so they can make decisions. Corrmorrant gets this.
Webscraping Tables in R: Datapasta Copy-and-Paster
Not data.table vs dplyr... data.table + dplyr!
Make insanely fast grouped summaries by leveraging data.table with dtplyr. Then quickly visualize your summaries with ggplot2.
Introducing Modeltime Recursive: Tidy Autoregressive Forecasting with Lags
I'm super excited to introduce the new autoregressive forecast functionality in modeltime that allows you to convert any tidymodels regression algorithm into an autoregressive forecasting algorithm.