Stacking states

In this exercise, you will explore and compare the prices of various food commodities across three Indian states: Jammu and Kashmir, Bihar, and Punjab. To facilitate this analysis, you will utilize grouped histograms, where the bars representing different commodities will be stacked on top of each other.

For your convenience, the DataFrames, and StatsPlots packages have already been imported. Additionally, the commodities DataFrame is readily accessible, containing the relevant data for your analysis.

Bu egzersiz, kursun bir parçasıdır

Introduction to Data Visualization with Julia

Kursa Göz Atın

Egzersiz talimatları

Generate a grouped histogram using the Retail Price column from the commodities DataFrame.
Define the groups using the State column, assigning the colors limegreen, fuchsia, and orange1 to represent each state, respectively.
Utilize the bar_position argument to stack the bars on top of one another.

Uygulamalı etkileşimli egzersiz

Bu egzersizi bu örnek kodu tamamlayarak deneyin.

# Create grouped histogram
____(
	____."____",
    # Define groups and colors
	____=____.____,
    color=[____],
    # Stack the bars
    bar_position=:____
)
title!("Commodity Prices in India")
xlabel!("Price (Rupees)")
ylabel!("Frequency")

Kodu Düzenle ve Çalıştır