1. Medium 1/India temp time series.R

#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")
     
67simran/Rgitsimran documentation built on April 12, 2022, 2:41 a.m.