Skip to content
Projects
Groups
Snippets
Help
This project
Loading...
Sign in / Register
Toggle navigation
tutorials
Overview
Overview
Details
Activity
Cycle Analytics
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Charts
Issues
0
Issues
0
List
Board
Labels
Milestones
Merge Requests
0
Merge Requests
0
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Charts
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Charts
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
Sirawit Leelakitkul
tutorials
Commits
ea4aab51
Unverified
Commit
ea4aab51
authored
Jan 24, 2018
by
ningxixu
Committed by
GitHub
Jan 24, 2018
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
Create dplyr1
parent
c6c3bc6e
Show whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
28 additions
and
0 deletions
+28
-0
dplyr1
dplyr1
+28
-0
No files found.
dplyr1
0 → 100644
View file @
ea4aab51
wine = read.csv('wine.csv', stringsAsFactors = F, encoding = 'UTF-8')
install.packages('dplyr')
install.packages('ggplot2')
library(dplyr)
library(ggplot2)
wine = wine[,-1]
wine = wine %>% select(-c(description))
wine %>% group_by(country) %>% summarize(count=n()) %>% arrange(desc(count))
selected_countries = wine %>% group_by(country) %>% summarize(count=n()) %>% arrange(desc(count)) %>% top_n(10) %>% select(country)
selected_countries = as.character(selected_countries$country)
select_points=wine %>% filter(country %in% selected_countries) %>% select(country, points) %>% arrange(country)
ggplot(wine, aes(points,price)) + geom_point() + geom_smooth()
ggplot(select_points, aes(x=reorder(country,points,median),y=points)) + geom_boxplot(aes(fill=country)) + xlab("Country") + ylab("Points") + ggtitle("Distribution of Top 10 Wine Producing Countries") + theme(plot.title = element_text(hjust = 0.5))
wine %>% filter(!(country %in% selected_countries)) %>% group_by(country) %>% summarize(median=median(points)) %>% arrange(desc(median))
top=wine %>% group_by(country) %>% summarize(median=median(points)) %>% arrange(desc(median))
top=as.character(top$country)
both=intersect(top,selected_countries)
topwine = wine %>% group_by(variety) %>% summarize(number=n()) %>% arrange(desc(number)) %>% top_n(10)
topwine=as.character(topwine$variety)
wine %>% filter(variety %in% topwine) %>% group_by(variety)%>% summarize(median=median(points)) %>% ggplot(aes(reorder(variety,median),median)) + geom_col(aes(fill=variety)) + xlab('Variety') + ylab('Median Point') + scale_x_discrete(labels=abbreviate)
top15percent=wine %>% arrange(desc(points)) %>% filter(points > quantile(points, prob = 0.85))
cheapest15percent=wine %>% arrange(price) %>% head(nrow(top15percent))
goodvalue = intersect(top15percent,cheapest15percent)
goodvalue
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment