Fundamental purpose of this project is to analyze the data from big retail grocery chains in order to extract patterns and key insights. Visuals from this project will be provided from RSutdio with library ggplot2 and Tableau Public. Furthermore, the project comes with an extra excel file which is exported from tidy data after analyzing them.
R
RStudio
setwd('C"/YourPathGoesHere/')
.libPaths('C:/Users/')library(readr)
library(tidyverse)
library(magrittr)
library(writexl)Common Problems
- Renaming Variables
- Dealing with NA values
- Dropping Columns
- Deleting Rows
Other Problems
- Each product category belongs into a more generic product category
Markets <- read_csv("WorkingData/markets_all.csv")
Categories <- read_csv("WorkingData/categories.csv")
bar <- read_csv("WorkingData/bar.csv")Visuals created via
- RStudio and
- Tableau
ggplot(AB, aes(Category_Name, AB)) +
geom_bar(stat = 'identity') +
labs(x = 'Category Name',
y = 'Total Sum',
title = 'Which is the most preferred category from Food',
subtitle = 'Market: AB') +
coord_flip()
!
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