Saree prices
When multiple categorical variables are involved, you can divide the data into combinations of two category sets. Grouped histograms serve as an effective tool for displaying and comparing numerical data between these categories. In this exercise, your task is to compare the average prices of different varieties of sarees across different Indian states.
The required packages, DataFrames, StatsPlots, and Statistics, have already been imported for you. Additionally, the saree_mean_prices DataFrame is readily accessible for you to utilize.
本练习是课程的一部分
Introduction to Data Visualization with Julia
交互式实操练习
通过完成这段示例代码来试试这个练习。
# Create grouped bar chart
____(
saree_mean_prices.____,
saree_mean_prices."____",
# Group by variety
____=saree_mean_prices.____,
color=[:lightpink1 :purple3]
)
title!("Saree Prices per State")
ylabel!("Average Unit Price (Rupees)")