In kitcatkai/comparision: Generates ggplots for (1) cosine index distribution across all possible pairwise industries and (2) box and bar plots by comparing among different user-defined groups

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
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What does the package do?

This R package generates ggplots for (1) cosine index distribution across all possible pairwise industries (2) box and bar plots by comparing among different user-defined groups.

1. Installing the package

comparision is available on Github and can be installed as follows in an R session:

#install the devtools to download the R package from comparision repo in Github
install.packages('devtools', repos = "http://cran.us.r-project.org")
devtools::install_github("kitcatkai/comparision")

Once installed, the package can be loaded in a given R session using:

#import comparision library
library('comparision')

2. Download an example dataset

To illustrate how the package works, we can download a sample of data from u_egdata.base_job_tran_1step base table and name it as cos_group_100.csv.

After preparing the data, we can call load_cosine() with the file directory and the column name for the cosine index.

#set to your working directory
setwd("/Users/kaitan/comparision/")

#calling load_file function
cosine <- load_cosine("./cos_group_100.csv", field = 'cosine_similarity_group')

3. Plot histogram across all possible pairwise industries

The easiest way of visualizing the histogram across all possible pairwise industries is through cosine$skills

#Plot histogram across all possible pairwise industries
cosine$skills

4. Generating ggplots by comparing among different user-defined groups

We can call load_file() with the file directory and the user-defined groups for group_by. Note that load_file() is different from the load_cosine().

setwd("/Users/kaitan/comparision/")

#calling load_file function
test <- load_file("./dummy_data.csv", group_by = 'age_bracket')

5(a) Plotting the box plot for the time it takes to transit to various industries by different age-bracket groups.

The easiest way of visualizing the box plot for the time it takes to transit to various industries by different age-bracket groups is test$transit. Remember that you can set you user-defined group in group_by as shown earlier.

#Plot Box plot for the time it takes to transit to various industries by different age-bracket groups
test$transit

5(b) Plotting the bar plot for the distribution of different age-bracket groups across various industries

The easiest way of visualizing bar plot for the distribution of different age-bracket groups across various industries is test$demo.

#Bar plot for the distribution of different age-bracket groups across various industries
test$demo

kitcatkai/comparision documentation built on Jan. 1, 2021, 7:20 a.m.