If you are looking for a fun way to test your #JavaScript knowledge, I have built a simple game. The goal is not to *teach* you JavaScript, but to *test* if you've understood the language features and data structures.

indrajeetpatil.github.io/save-indy/

Let me know if you've any feedback.

Today concludes this 1-year hobby project.

There won’t be new posts, so feel free to unfollow, but do keep revisiting! 🙃

With > 22K followers in 365 posts, I guess you enjoyed reading them as I much as I’d preparing them. 😅

Best luck with your jouRneys! 🤞
Indrajeet Patil (इंद्रजीत पाटील)

If we need to bind multiple dataframes by rows, we may first wish to check if this can be done successfully.

The {compare_df_cols} function from {janitor} 📦 provides a summary of data types to check this! 🍎🍏

sfirke.github.io/janitor/refere…

#rstats #DataScience

While working in a piped workflow, if you need to extract a single column, the syntax to do so can be a bit cumbersome.

The {pull} function from {dplyr} 📦 provides a more readable syntax to this end! 💄

dplyr.tidyverse.org/reference/pull…

#rstats #DataScience

Visualizing data along an Archimedean spiral can efficiently reveal periodic patterns in time series data.

The {spiral_*} function family from {spiralize} 📦 draws such spiral plots flexibly! 🌀

jokergoo.github.io/spiralize_vign…

#rstats #DataScience

Serialization changes objects to a byte stream that can be saved to a binary file, while deserializing does the reverse.

The {q*} function family from {qs} 📦 provides a performant way to serialize or deserialize any R object! ⚡️

rdrr.io/cran/qs/man/

#rstats #DataScience

Sometimes you may wish to include some patterns or images in plots for enhanced storytelling.

The {image*} or {pattern*} function family from {patternplot} 📦 provides a way to do so! ⚜️

rdrr.io/cran/patternpl…

#rstats #DataScience

Python dictionary is an unordered data type with key-value pairs that allows accessing values, not by indexing, but via unique keys.

The {py_dict} function from {reticulate} 📦 gives you access to this data type in R! 📖

rstudio.github.io/reticulate/ref…

#rstats #DataScience

Sometimes, especially in the context of statistical modeling, there might be infinite or NaN's present in outputs that we may wish to replace with NAs.

The {zap_inf} helper function from {sjmisc} 📦 does exactly this! ♾

strengejacke.github.io/sjmisc/referen…

#rstats #DataScience

A horizon plot is a compact time-series data visualization to plot and compare different moving values.

The {geom_horizon} function from {ggHoriPlot} 📦 provides just the geometric layer! ⬆️⬇️

rivasiker.github.io/ggHoriPlot/art…

#rstats #DataScience

To save space, IP addresses are often stored as integers, and if we receive such data, we may wish to convert them to the familiar human-readable form.

The {integer_to_ip} function from {ipaddress} 📦 makes this conversion easy! 🕸

davidchall.github.io/ipaddress/refe…

#rstats #DataScience

Although often you can easily read data from a single CSV file, sometimes you have to read a dataset stored in one of the Excel spreadsheets.

The {read_xlsx} function from {readxl} 📦 provides an easy syntax to do so! 📝

readxl.tidyverse.org/reference/read…

#rstats #DataScience

Sometimes you want to quickly compute and visualize frequencies for all categorical variables in the data.

The {inspect_cat} function from {inspectdf} 📦 does so, while labeling most frequent levels and highlighting missing data! 📊

alastairrushworth.github.io/inspectdf/arti…

#rstats #DataScience

Filename extensions (.py, .csv, .pdf, etc.) decide the characteristics and intended usage of files, and we may wish to work with them further in R.

The {*_ext} function family in {xfun} 📦 provides helpers to do so! 🗂

rdrr.io/cran/xfun/man/…

#rstats #DataScience

Across disciplines (physics, engineering, etc.), a quiver plot helps visualize vector fields as arrows, and we may need to create such a plot in R.

The {geom_quiver} function from {ggquiver} 📦 offers just the geometric layer! 🌪

pkg.mitchelloharawild.com/ggquiver/refer…

#rstats #DataScience

A list is a non-atomic vector, and sometimes you may wish to convert (or flatten) it to an atomic one.

The {flatten} function family from {purrr} 📦 provides helpers to do this with type stability! 🗜

purrr.tidyverse.org/reference/flat…

#rstats #DataScience

PCA is a popular dimensionality reduction technique and sometimes you may wish to reports its results in a report.

The {tab_pca} function from {sjPlot} 📦 produces publication-ready HTML table for PCA with elegant defaults! 📝

strengejacke.github.io/sjPlot/referen…

#rstats #DataScience