Introduction to Data Visualization with Julia
Gustavo Vieira Suñe
Data Analyst
Date | State | Centre | Product | Price |
---|---|---|---|---|
APR-2001 | Andhra Pradesh | Chittoor | Bathing Soap | 10.0 |
APR-2001 | Andhra Pradesh | Chittoor | Ink | 10.0 |
... | ... | ... | ... | ... |
SEP-2016 | Bihar | Patna | Paper | 38.0 |
SEP-2016 | Bihar | Patna | Toothpaste | 50.0 |
using Statistics
)# Group by each product grouped = groupby(product, :Product)
# Calculate average prices mean_prices = combine( grouped, :Price => mean )
# Sort from higest to lowest sorted_mean_prices = sort( mean_prices, :Price_mean, rev=true )
# Create bar chart bar( # Categories in x-axis sorted_mean_prices.Product, # Values in y-axis sorted_mean_prices.Price_mean,
# Set bar width bar_width=0.5
label=false, color=:royalblue1, ) title!("Product Prices in India") ylabel!("Average Price (Rupees)")
# Create bar chart bar( # Values in the y-axis sorted_mean_prices.Product, # Values in x-axis sorted_mean_prices.Price_mean,
# Set orientation to horizontal permute=(:x, :y),
label=false, color=:royalblue1, ) title!("Product Prices in India") xlabel!("Average Price (Rupees)")
filtered_product = filter(
row -> row.State in ["Maharashtra", "Goa", "Gujarat"],
product)
# Group by state and product filtered_grouped = groupby(filtered_product, [:State, :Product])
# Calculate average prices filtered_mean_prices = combine( filtered_grouped, :Price => mean )
# Create grouped bar chart groupedbar( # Categories in x-axis filtered_mean_prices.Commodity, # Values in y-axis filtered_mean_prices.Price_mean,
# Define groups group=filtered_mean_prices.State,
color=[:teal :yellow2 :tomato3] ) title!("Prices in India by State") ylabel!("Average Price (Rupees)")
# Create grouped bar chart groupedbar( # Categories in x-axis filtered_mean_prices.Commodity, # Values in y-axis filtered_mean_prices.Price_mean, # Define groups group=filtered_mean_prices.State, color=[:teal :snow2 :tomato3],
# Stack the bars bar_position=:stack
) title!("Product Prices in India by State") ylabel!("Average Price (Rupees)")
Introduction to Data Visualization with Julia