genius Plumber API

get started here Since I created genius, I’ve wanted to make a version for python. But frankly, that’s a daunting task for me seeing as my python skills are intermediate at best. But recently I’ve been made aware of the package plumber. To put it plainly, plumber takes your R code and makes it accessible via an API. I thought this would be difficult. I was so wrong. Using plumber Plumber works by using roxygen like comments (#*).

xgboost feature importance

This post will go over extracting feature (variable) importance and creating a function for creating a ggplot object for it. I will draw on the simplicity of Chris Albon’s post. For steps to do the following in Python, I recommend his post. If you’ve ever created a decision tree, you’ve probably looked at measures of feature importance. In the above flashcard, impurity refers to how many times a feature was use and lead to a misclassification.

[Not so] generic functions

The Jargon The Generic Method The Default Method sf method tbl_graph method Review (tl;dr) Lately I have been doing more of my spatial analysis work in R with the help of the sf package. One shapefile I was working with had some horrendously named columns, and naturally, I tried to clean them using the clean_names() function from the janitor package. But lo, an egregious error occurred. To this end, I officially filed my complaint as an issue.

Chunking your csv

Sometimes due to limitations of software, file uploads often have a row limit. I recently encountered this while creating texting campaigns using Relay. Relay is a peer-to-peer texting platform. It has a limitation of 20k contacts per texting campaign. This is a limitation when running a massive Get Out the Vote (GOTV) texting initiative. In order to solve this problem, a large csv must be split into multiple csv’s for upload.

Reading Multiple csvs as 1 data frame

In an earlier posting I wrote about having to break a single csv into multiple csvs. In other scenarios one data set maybe provided as multiple a csvs. Thankfully purrr has a beautiful function called map_df() which will make this into a two liner. This process has essentially 3 steps. Create a vector of all .csv files that should be merged together. Read each file using readr::read_csv() Combine each dataframe into one.

Coursera R-Programming: Week 2 Problems

Over the past several weeks I have been helping students, career professionals, and people of other backgrounds learn R. During this time one this has become apparent, people are teaching the old paradigm of R and avoiding the tidyverse all together. I recently had a student reach out to me in need of help with the first programming assignment from the Coursera R-Programming course (part of the Johns Hopkins Data Science Specialization).

Introducing geniusR

Introducing geniusR geniusR enables quick and easy download of song lyrics. The intent behind the package is to be able to perform text based analyses on songs in a tidy[text] format. This package was inspired by the release of Kendrick Lamar’s most recent album, DAMN.. As most programmers do, I spent way too long to simplify a task, that being accessing song lyrics. Genius (formerly Rap Genius) is the most widly accessible platform for lyrics.