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rdata-cleaning's Introduction

Visualization of the codebase

Table Contents

General-Info

To get familliar with the library (janitor), i developed this project.

Dataset

The csv file was downloaded from Kaggle. Includes data from AIRBNB platoform for the city of New York

           1. host_id
           2. host_name

Images

NA_values_visualization

head(df)

Languages

  • The project was developed with R programming language.

Environment

  • RStudio

Libraries

library(naniar)
library(tidyverse)
library(dplyr)
library(readr)
library(visdat)
library(janitor)

Setup

setwd('')
df = read_csv('AB_NYC_2019.csv')

Code_Samples

glimpse(df) 
class(df) 
options(scipen = 999) 
# turning off scientific notation
summary (df)

rdata-cleaning's People

Contributors

anekar avatar

Watchers

avatar

rdata-cleaning's Issues

Visuals

For better understanding what every piece of code does it is crucial to add some RImages on Readme from:

  • Bugs and
  • dataset

Importing libraries that used

Installing libraries

install.packages('tidyverse')
install.packages('reaxl')

Or install them with remotes package

remotes::install_github('r/tidyverse')

Code samples

  • Setting the working directory
setwd('')
  • Importing the dataframe
df <- readxl('df')

Setup

Source code, branches

Info

Remake the info of the project with more specific details

Info

Add info of the dataset

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