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.

Deze oefening maakt deel uit van de cursus

Introduction to Data Visualization with Julia

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Oefeninstructies

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.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

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

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