Demonstrate a basic knowledge of frequency distributions and histograms by writing a python program. write code to create a frequency distribution chart that emulates a histogram for a given dataset without access to special libraries.I have provided a base for this program tha should be added to and not altered, this what I have thus far:

#DO NOT MODIFY THE CODE IN THIS FILE

#File: Proj$02.$py

#Revised: $06/27/23$

$\text{'}\text{'}\text{'}$

Among other things, this project requires you to

demonstrate a basic knowledge of frequency

distributions and histograms. In this project,

you will write code to create a frequency

distribution chart that emulates a histogram for a

given dataset without access to special libraries.

You will not be required to write the code to produce

the chart. You simply need to write the code to

produce the data that will be used by the following

code to produce the chart.

$\text{'}\text{'}\text{'}$

from Proj$02$Runner import Runner

import sys

import textwrap

print$("$

Expected three numeric command$-$line arguments."$)$

#Get the command$-$line arguments and put them in a

#list named args.

args $=$ list$($map$($int$,$ sys$.$argv$[1$:$]))$

# Check if the user has entered three command$-$line arguments

if len$($args$)!=3$:

print$("$Missing command$-$line arguments"$)$

print$("$Use default values in place of command$-$line arguments"$)$

args $=[6,10,4]$

print$(\text{'}$The default values are:$\text{'},$args$)$

else:

print$("$The command$-$line arguments are:", args$)$

#Use the command$-$line arguments to create a dataset.

data$=$list$($

range$(0,11))+$list$($

range$(1,10))+$list$($

range$(2,9))+$list$($

range$(3,8))+$list$($

range$(4,7))+$list$($

range$(5,6))+$list$($

range$($int$($args$[0]),$int$($args$[1])))*$int$($args$[2])$

print$("$The dataset is:$")$

wrapped$\_$list $=$ textwrap.wrap$($str$($data$),$ width$=50)$

for line in wrapped$\_$list:

print$($line$)$

print$("$

Your code may not import anything.

$")$

print$("$Execute student code."$)$

#Call student's run function to process the dataset

#and return the result.

result $=$ Runner.run$($data$)$

print$("$

Display data returned by student code."$)$

#Use the list returned from student's run function to

#display a frequency distribution chart.

#Find the maximum value in the result

max$\_$value $=$ max$($result$)$

# Loop through each row

for i in range$($max$\_$value, $0,-1)$:

# Loop through each value in the result

for j in range$($len$($result$))$:

if result$[$j$]>=$ i:

print$("$ x $",$ end$="")$

else:

print$("",$ end$="")$

print$()$

# Print the x$-$axis labels

for i in range$($len$($result$))$:

print$("---",$ end$="")$

print$()$

#Print the list returned by the student's run function.

print$($result$)$