Cleaning freeCodeCamp's 2017 New Coder Survey Data

Code to help clean and format the 2017 New Coder Survey by freeCodeCamp.

Table of Contents

• Introduction
• Prerequisites for data cleaning
• Download survey data
• Run script to reproduce clean data
• Read in combined data after cleaning
• Repository structure

Introduction

The survey data is cleaned and the metadata (i.e. the data dictionary) is in the datapackage.json file, which follows closely to the specifications described by the data packages format. The format was generated with the help of Data Packagist.

The cleaning script clean-data-2017.R should be run with the working directory in R being the root of this repository.

Prerequisites for data cleaning

• R (>= 3.3.3)
• dplyr (>= 0.5.0)

Download survey data

The raw survey data will be downloaded into the raw-data/ directory.

git clone https://github.com/erictleung/2017-new-coder-survey.git
cd 2017-new-coder-survey
make download

Run script to reproduce clean data

The clean and combined data will appear in the clean-data/ directory.

make cleaning

Read in combined data after cleaning

From within R, you can run the following to read in the clean data.

library(dplyr)
setwd("clean-data") # Change this accordingly
survey <- read.csv("2017-fCC-New-Coders-Survey-Data.csv",
                   stringsAsFactors = FALSE) %>% tbl_df()

Repository structure

.
├── clean-data
│   ├── clean-data-2017.R
│   └── datapackage.json
├── Makefile
└── README.md

2 directories, 4 files