Time Series Forecasting Best Practices & Examples
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Updated
May 26, 2022 - Python
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Time Series Forecasting Best Practices & Examples
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
Text mining using tidy tools
Bringing financial analysis to the tidyverse
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
Time series analysis in the `tidyverse`
A tidy API for graph manipulation
The bookdown version lives here: https://bookdown.org/content/3890
Exercise solutions to "R for Data Science"
Tidy Geospatial Networks in R
Collection of stats, modeling, and data science tools in Python and R.
An extensible API for breaking captchas
Dark mode for ggplot2 themes
Extending broom for time series forecasting
Brings transcriptomics to the tidyverse
Lesson files for Practical Applications in R for Psychologists.
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A note from Uwe Ligges of CRAN:
I don't know about DOIs. Anyone have a thought on this? Is it only appropriate for packages associated with a research paper?