Overview In Module 5 Assignment 2, modify your pseudocode to make 1000 dice  rolls, and instead of displaying the list, use Pygal to display the  results in a bar chart.  Instructions M5 Assignment 2 uses both modules from M5-1 and asks you to modify  the second module to increase the number of rolls to 1000, to calculate  how frequently each number appears, and to display the results in a bar  char, which is called a histogram in Pygal. Some of the code is written for you, so review the two files for  module 1 in M5Lab2dice.py and module 2 in M5Lab2dice_hist.py file to see  how the lab works. Some of the code is missing in M5Lab2dice_hist.py. Read both program files to see what is missing. You will revise your pseudocode and revise the M5Lab2dice_hist.py file. Pseudocode - Revise module 2 in your pseudocode to add these steps: Roll the dice 1000 times Do not print the results Instead, print the frequencies from a list called frequencies[]  Frequencies are the number of times each number appears Add the titles to your bar chart  # They are string values that appear at the top # List the titles for the x axis and the y axis of your chart # See the example in the code to support your pseudocode Render the chart to appear in a “dice_barchart.svg” file Add your name to the chart’s title Test your chart by dragging the file dice_barchart.svg into any Web browser window If you see your bar chart with 6 columns, examine it  Hover your cursor over each column to see the values for 1000 dice rolls Save your pseudocode as M5Lab2ii.docx Python code - Revise module 2 in M5Lab2dice_hist.py to add these steps: import Pygal # Pygal draws the bar chart or histogram for you import the Dice class # from dice import Dice declare the variable dice and assign the value to the class name Dice()  # variable_name = Class() Declare an empty list called results Declare an empty frequencies list for the tracking how often each die value appears Declare a variable frequency and assign it to results.count(value)  # Tracks the number of times each value from 1-6 is rolled print the frequencies # the format is print(listname) Bar chart: declare a variable hist and assign it the value pygal.Bar() Declare a hist.title variable and set the value to the following Your Name - Results of 1000 6-Sided Dice Rolls Replace “Your Name” with your name Declare a hist.x_title and set the value to Result using a string Declare a hist.y_title and set the string value to "How Often Did We Roll a 1, 2, 3, 4, 5, or 6?" # Tip: do not copy the string values surrounded by quotes from A MS Word file. # They use the wrong quotation symbols. Retype the quotation marks in Python. Save your M5Lab2dice_hist.py file into the same folder as dice.py # Both program files must be in the same folder Run your M5Lab2dice_hist.py file and see if it lists in the Python  shell the number of times each number appeared on the dice rolls. Open the folder with your labs in it The results and frequencies from 1000 rolls appear in a hist.render_to_file called “dice_barchart.svg” Drag the dice_barchart.svg file from your folder to a Web browser window to see your bar chart Hover over the columns to see the frequencies appear Each lab asks you to write pseudocode that plans the program’s logic  before you write the program in Python and to turn in three things: 1)  the pseudocode, 2) the dice_barchart.svg file, which displays the output  as a bar chart, and 3) your Python program.

XML TaggingThe final step to completing our shop website is, to store the user's purchases in a file. Now that you have a Shopping Cart page that stores the items in cookies and displays them to the user, modify the Shopping Cart page to include a submit button.Once the submit button is clicked, the user is directed to a page with a Thank You message, you can call it confirmationpage.php. The page needs to store the items the user purchased into an XML file by either parsing the contents of the cookies created in the Shopping Cart page, or parsing the contents of the array stored in the cookie (depending on which strategy you chose to solve last week's assignment. The XML file, named purchases.xml needs to include the following items:Item nameItem priceIt is up to you to determine the format of the XML file, you are welcome to follow the below suggested format if you want:<purchasedItems><Item><ItemName></ItemName><ItemPrice></ItemPrice></Item></purchasedItems>Submit your code as well as a test plan in a 4- to 5-page Microsoft Word document consisting of:Screenshots of your project (showing design, data entered, and displayed)A paragraph explaining how you tested your projectAll HTML or PHP script zipped under one fileSubmission DetailsName your document SU_ITS4112_W4_Project_LastName_FirstInitial.zip.Support your responses with examples.Cite any sources in APA format.

Description For the prelab assignment, you need to read a text file. The input data file will be called “DnDMonsterScores.csv”. This type of file can be opened by spreadsheet programs such as Microsoft Excel, but you can also open it with a text editor like VIM or Notepad. Of course, you can open it and read it with your program too! The data file consists of a name followed by numbers on each line (except the first line – the first line is a “header” and has the word “Name” followed by the word “AC” followed other words representing the name of each “field”, all separated by commas). All of these “fields” are separated by commas. For example: Name,AC,HP,STR,DEX,CON,INT,WIS,CHA Frog,11,1,1,13,8,1,8,3 Sea Horse,11,1,1,12,8,1,10,2 Shrieker,5,13,1,1,10,1,10,3 The file is meant to represent the name of a “monster” in the game Dungeons and Dragons followed by the “armor class” and then the “hit points”, etc. for that monster. To get started on this prelab, type the following while logged in to tc.rnet.missouri.edu: cs1050start prelab11 This command will create a directory called prelab11. Go into that directory (“cd prelab11”) and get a list of the files there (“ls -la”). Notice that there is a file called prelab11.c. You can start editing this file to do your prelab (but you probably want to change the header since it says it was written entirely by me ). Notice that the data file (DnDMonsterScores.csv) is also in this directory. Your program should read in all of the data (ignoring the “header”), count how many monsters are in the file, and calculate the average armor class (AC) as well as the average hit points (HP) for the monsters in this file. As you process the file, you should output the number (count) of the current monster, its name, its armor class, and its hit points (see sample output). You can read in the other fields as you go or find a way to ignore them