#GSoC 2022
#ggplot
#Author: Simran
#Name: RSQLiteAdmin Visualisation Tools
#Plot a time-series line chart on a dataset of your choice with different variables in a single chart. Customize it to make it clear and insightful.
library(ggplot2)
library(readxl)
tas_timeseries_annual_cru_1901_2020_IND <- read_excel("C:\\Users\\visha\\Downloads\\tas_timeseries_annual_cru_1901-2020_IND.xls")
data.frame(tas_timeseries_annual_cru_1901_2020_IND)
head(tas_timeseries_annual_cru_1901_2020_IND)
tas_timeseries_annual_cru_1901_2020_IND$Time
# view the time column
tas_timeseries_annual_cru_1901_2020_IND$India
qplot(x = tas_timeseries_annual_cru_1901_2020_IND$Time,
y = tas_timeseries_annual_cru_1901_2020_IND$India)
# plotting the data
ggplot( data = tas_timeseries_annual_cru_1901_2020_IND, aes(x= tas_timeseries_annual_cru_1901_2020_IND$Time, y= tas_timeseries_annual_cru_1901_2020_IND$India )) +
geom_line() +
labs(x = "Year",
y = "Temperature (C)",
title = "Annual average temperature",
subtitle = "India 1901-2020")
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