library(readxl)
library(ggplot2)
df<- read_xlsx("/Users/unalt/Desktop/MEF/Data Analytics Essentials/week3/EVDS_istanbul_property_data.xlsx",skip=36,n_max=94,
col_names=c('Date','TotalSales','EncumberedSales','FirsthandSales',
'SecondhandSales','ForeignSales','NewHousePriceIndex','HouseLevel','HouseUnitPrice'))
p<- ggplot(df, aes(Date, TotalSales, color=NewHousePriceIndex)) +
geom_point(aes(size=HouseUnitPrice)) +
ggtitle("Istanbul Property Trend","2012-2020 Istanbul Housing Sales&Price&Index Data") +
xlab("Date") + ylab("Total House Sales")
p + theme(
plot.title = element_text(color="darkred", size=15, face="bold"),
plot.subtitle = element_text(color="darkred", size=12),
axis.title.x = element_text(color="dimgrey", size=13, face="bold"),
axis.title.y = element_text(color="dimgrey", size=13, face="bold"),
axis.text.x = element_text(angle=90, size=9),
legend.text = element_text(size = 12),
legend.title = element_text(size=12)
)
## Warning: Removed 2 rows containing missing values (geom_point).
When the real estate data of Istanbul between 2012-2020 were examined, the following findings were obtained:
- It is seen that the Istanbul new housing price index has started to rise since July 2016.
- Istanbul housing unit prices have been on the rise since March 2015.
- Despite the increase in new housing price index and housing unit prices, house sales in Istanbul have been on an rising trend since September 2019.