/
summary.R
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summary.R
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library(dplyr)
library(ggplot2)
library(colorspace)
library(scales)
df = read.csv('sandbox.csv') %>% select(-X)
dim(df)
head(df)
names(df)
df = df %>% mutate(Neighborhood = ifelse(Neighborhood == 'Blmngtn', "Bloomington Heights",
ifelse(Neighborhood == 'Blueste', "Bluestem",
ifelse(Neighborhood == 'BrDale', "Briardale",
ifelse(Neighborhood == 'BrkSide', "Brookside",
ifelse(Neighborhood == 'ClearCr', "Clear Creek",
ifelse(Neighborhood == 'CollgCr', "College Creek",
ifelse(Neighborhood == 'Crawfor', "Crawford",
ifelse(Neighborhood == 'Edwards', "Edwards",
ifelse(Neighborhood == 'Gilbert', "Gilbert",
ifelse(Neighborhood == 'IDOTRR', "Iowa DOT & Rail Road",
ifelse(Neighborhood == 'MeadowV', "Meadow Village",
ifelse(Neighborhood == 'Mitchel', "Mitchell",
ifelse(Neighborhood == 'Names', "North Ames",
ifelse(Neighborhood == 'NoRidge', "Northridge",
ifelse(Neighborhood == 'NPkVill', "Northpark Villa",
ifelse(Neighborhood == 'NridgHt', "Northridge Heights",
ifelse(Neighborhood == 'NWAmes', "Northwest Ames",
ifelse(Neighborhood == 'OldTown', "Old Town",
ifelse(Neighborhood == 'SWISU', "South & West of ISU",
ifelse(Neighborhood == 'Sawyer', "Sawyer",
ifelse(Neighborhood == 'SawyerW', "Sawyer West",
ifelse(Neighborhood == 'Somerst', "Somerset",
ifelse(Neighborhood == 'StoneBr', "Stone Brook",
ifelse(Neighborhood == 'Timber', "Timberland", "Veenker")))))))))))))))))))))))))
###########################################################
# Sale Price - Median
median_sale_price = df %>%
group_by(Neighborhood) %>%
summarize(med_price = median(SalePrice)/1e3) %>%
arrange(desc(med_price))
ggplot(median_sale_price, aes(Neighborhood, med_price)) +
geom_col(aes(reorder(Neighborhood, -med_price), fill=Neighborhood), position='dodge') +
scale_fill_discrete_sequential(palette = "Blues") +
ggtitle('\nMedian Home Price by Neighborhood', 'Homes sold between 2006-2010') +
xlab('\nNeighborhood\n') +
ylab('Median Sale Price') +
theme(plot.title = element_text(color="grey10", size=18, face="bold"),
plot.subtitle = element_text(color="grey10", size=12),
axis.ticks = element_blank(),
axis.text.x = element_text(color="grey10", size=12, angle=90, hjust=0.95),
axis.text.y = element_text(color="grey10", size=12),
axis.title.x = element_text(color="grey10", size=14, face="bold"),
axis.title.y = element_text(color="grey10", size=14, face="bold"),
legend.position = 'none') +
#scale_y_continuous(labels = scales::label_comma()) +
scale_y_continuous(labels = scales::dollar_format(prefix="$", suffix="K"))
theme(legend.position="none")
###########################################################
# Square Footage - Median
median_sf = df %>%
group_by(Neighborhood) %>%
summarize(med_sf = median(GrLivArea + BsmtFinSF1 + BsmtFinSF2)) %>%
arrange(desc(med_sf))
ggplot(median_sf, aes(Neighborhood, med_sf)) +
geom_col(aes(reorder(Neighborhood, -med_sf), fill=Neighborhood), position='dodge') +
scale_fill_discrete_sequential(palette = "Blues") +
ggtitle('\nMedian Square Feet by Neighborhood', 'Homes sold between 2006-2010') +
xlab('\nNeighborhood\n') +
ylab('Total Square Feet') +
theme(plot.title = element_text(color="grey10", size=18, face="bold"),
plot.subtitle = element_text(color="grey10", size=12),
axis.ticks = element_blank(),
axis.text.x = element_text(color="grey10", size=12, angle=90, hjust=0.95),
axis.text.y = element_text(color="grey10", size=12),
axis.title.x = element_text(color="grey10", size=14, face="bold"),
axis.title.y = element_text(color="grey10", size=14, face="bold"),
legend.position = 'none') +
scale_y_continuous(labels = scales::label_comma()) +
#scale_y_continuous(labels = scales::dollar_format(prefix="$"))
theme(legend.position="none")
###########################################################
# Price per Square Foot - Median
median_price_sf = df %>%
group_by(Neighborhood) %>%
summarize(med_price_per_sqfoot = median(SalePrice)/median(GrLivArea + BsmtFinSF1 + BsmtFinSF2)) %>%
arrange(desc(med_price_per_sqfoot))
ggplot(median_price_sf, aes(Neighborhood, med_price_per_sqfoot)) +
geom_col(aes(reorder(Neighborhood, -med_price_per_sqfoot), fill=Neighborhood), position='dodge') +
scale_fill_discrete_sequential(palette = "Blues") +
ggtitle('\nMedian Price per Square Foot by Neighborhood', 'Homes sold between 2006-2010') +
xlab('\nNeighborhood\n') +
ylab('Price per Square Foot') +
theme(plot.title = element_text(color="grey10", size=18, face="bold"),
plot.subtitle = element_text(color="grey10", size=12),
axis.ticks = element_blank(),
axis.text.x = element_text(color="grey10", size=10, angle=90, hjust=0.98),
axis.text.y = element_text(color="grey10", size=12),
axis.title.x = element_text(color="grey10", size=14, face="bold"),
axis.title.y = element_text(color="grey10", size=14, face="bold"),
legend.position = 'none') +
#scale_y_continuous(labels = scales::label_comma()) +
scale_y_continuous(labels = scales::dollar_format(prefix="$"))
theme(legend.position="none")
###########################################################
# # Bedrooms - Meidan
# median_bedrooms = df %>%
# group_by(Neighborhood) %>%
# summarize(med_bedrooms = median(BedroomAbvGr)) %>%
# arrange(desc(med_bedrooms))
#
# ggplot(median_bedrooms, aes(Neighborhood, med_bedrooms)) +
# geom_col(aes(reorder(Neighborhood, -med_bedrooms), fill=Neighborhood), position='dodge') +
# scale_fill_discrete_sequential(palette = "Blues") +
# ggtitle('\nMedian Bedrooms by Neighborhood', 'Homes sold between 2006-2010') +
# xlab('\nNeighborhood\n') +
# ylab('Number of Bedrooms') +
# theme(plot.title = element_text(color="grey10", size=18, face="bold"),
# plot.subtitle = element_text(color="grey10", size=12),
# axis.ticks = element_blank(),
# axis.text.x = element_text(color="grey10", size=10, angle=90, hjust=0.98),
# axis.text.y = element_text(color="grey10", size=12),
# axis.title.x = element_text(color="grey10", size=14, face="bold"),
# axis.title.y = element_text(color="grey10", size=14, face="bold"),
# legend.position = 'none') +
# scale_y_continuous(labels = scales::label_comma()) +
# #scale_y_continuous(labels = scales::dollar_format(prefix="$"))
# theme(legend.position="none")
###########################################################
# # Bathrooms - Median
# median_bathrooms = df %>%
# group_by(Neighborhood) %>%
# summarize(med_bathrooms = median(FullBath+HalfBath + BsmtFullBath + BsmtHalfBath)) %>%
# arrange(desc(med_bathrooms))
###########################################################
# median_overall_quality = df %>%
# group_by(Neighborhood) %>%
# summarize(med_quality = median(OverallQual)) %>%
# arrange(desc(med_quality))
#
# ggplot(median_overall_quality, aes(Neighborhood, med_quality)) +
# geom_col(aes(reorder(Neighborhood, -med_quality), fill=Neighborhood), position='dodge') +
# scale_fill_discrete_sequential(palette = "Blues") +
# ggtitle('\nMedian Overall Quality by Neighborhood', 'Homes sold between 2006-2010') +
# xlab('\nNeighborhood\n') +
# ylab('Overall Quality') +
# theme(plot.title = element_text(color="grey10", size=18, face="bold"),
# plot.subtitle = element_text(color="grey10", size=12),
# axis.ticks = element_blank(),
# axis.text.x = element_text(color="grey10", size=10, angle=90, hjust=0.98),
# axis.text.y = element_text(color="grey10", size=12),
# axis.title.x = element_text(color="grey10", size=14, face="bold"),
# axis.title.y = element_text(color="grey10", size=14, face="bold"),
# legend.position = 'none') +
# scale_y_continuous(labels = scales::label_comma()) +
# #scale_y_continuous(labels = scales::dollar_format(prefix="$")) +
# theme(legend.position="none")
###########################################################
# Lot Size (Acres) - Median
median_lot = df %>%
group_by(Neighborhood) %>%
summarize(med_lot = round(median(LotArea)/43560, 2)) %>%
arrange(desc(med_lot))
ggplot(median_lot, aes(Neighborhood, med_lot)) +
geom_col(aes(reorder(Neighborhood, -med_lot), fill=Neighborhood), position='dodge') +
scale_fill_discrete_sequential(palette = "Blues") +
ggtitle('\nMedian Acres per Lot by Neighborhood', 'Homes sold between 2006-2010') +
xlab('\nNeighborhood\n') +
ylab('Acres') +
theme(plot.title = element_text(color="grey10", size=18, face="bold"),
plot.subtitle = element_text(color="grey10", size=12),
axis.ticks = element_blank(),
axis.text.x = element_text(color="grey10", size=10, angle=90, hjust=0.98),
axis.text.y = element_text(color="grey10", size=12),
axis.title.x = element_text(color="grey10", size=14, face="bold"),
axis.title.y = element_text(color="grey10", size=14, face="bold"),
legend.position = 'none') +
scale_y_continuous(labels = scales::label_comma())
#scale_y_continuous(labels = scales::dollar_format(prefix="$"))
###########################################################
# Price per Acre - Median
median_price_acre = df %>%
group_by(Neighborhood) %>%
summarize(med_price_per_acre = median(SalePrice)/(median(LotArea)/43560)/1e6) %>%
arrange(desc(med_price_per_acre))
ggplot(median_price_acre, aes(Neighborhood, med_price_per_acre)) +
geom_col(aes(reorder(Neighborhood, -med_price_per_acre), fill=Neighborhood), position='dodge') +
scale_fill_discrete_sequential(palette = "Blues") +
ggtitle('\nMedian Cost per Acre by Neighborhood', 'Homes sold between 2006-2010') +
xlab('\nNeighborhood\n') +
ylab('Cost per Acre') +
theme(plot.title = element_text(color="grey10", size=18, face="bold"),
plot.subtitle = element_text(color="grey10", size=12),
axis.ticks = element_blank(),
axis.text.x = element_text(color="grey10", size=10, angle=90, hjust=0.98),
axis.text.y = element_text(color="grey10", size=12),
axis.title.x = element_text(color="grey10", size=14, face="bold"),
axis.title.y = element_text(color="grey10", size=14, face="bold"),
legend.position = 'none') +
# scale_y_continuous(labels = scales::label_comma()) +
scale_y_continuous(labels = scales::dollar_format(prefix="$", suffix = "M"))
###########################################################
# Cars in Garage - Median
meidan_car_garage = df %>%
group_by(Neighborhood) %>%
summarize(med_car_garage = median(GarageCars)) %>%
arrange(desc(med_car_garage))
###########################################################
# Year Built - Median
median_yr_built = df %>%
group_by(Neighborhood) %>%
summarize(med_yr_built = median(YearBuilt)) %>%
arrange(desc(med_yr_built))
ggplot(median_yr_built, aes(Neighborhood, med_yr_built)) +
geom_col(aes(reorder(Neighborhood, -med_yr_built), fill=Neighborhood), position='dodge') +
scale_fill_discrete_sequential(palette = "Blues") +
ggtitle('\nMedian Year Built by Neighborhood', 'Homes sold between 2006-2010') +
xlab('\nNeighborhood\n') +
ylab('Year') +
theme(plot.title = element_text(color="grey10", size=18, face="bold"),
plot.subtitle = element_text(color="grey10", size=12),
axis.ticks = element_blank(),
axis.text.x = element_text(color="grey10", size=10, angle=90, hjust=0.98),
axis.text.y = element_text(color="grey10", size=12),
axis.title.x = element_text(color="grey10", size=14, face="bold"),
axis.title.y = element_text(color="grey10", size=14, face="bold"),
legend.position = 'none') +
scale_y_continuous(labels = scales::label_comma()) #+
#scale_y_continuous(labels = scales::dollar_format(prefix="$"))