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Write a Java program that reads the dataset Average _ Daily _ Traffic _ Counts.csv to plot a bar chart of the streets and counts.

Write a Java program that reads the dataset Average_Daily_Traffic_Counts.csv to plot a bar chart of the streets and counts.
Write a Java program that creates a scatter chart from the Demographic_Statistics_By_Zip_Code.csv dataset. For this, you will scatter plot the count_female and count_male columns only.
Write a Python program to plot a bar chart, using MatPlotLib, and the average for the Average_Daily_Traffic_Counts.csv dataset. Be sure to get the mean of the dataset. For example (data is the Panda dataframe with all data):
data.mean(axis =0)
Write a Python program to plot a scatter chart, using MatPlotLib, using the Demographic_Statistics_By_Zip_Code.csv dataset. You will plot the count_female and count_male columns.
Write an R program, using the corrgram library, to plot the Average_Daily_Traffic_Counts.csv dataset. Use the lower.panel=panel.conf, upper.panel=panel.pts settings for the plot.
Write an R program, using the ggplot2 library, to print a scatter chart for the count_female and count_male columns. Use the Demographic_Statistics_By_Zip_Code.csv dataset.

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