Lifte quit you were close. Q7.) Modify 8_home_prices_csv.py so that it reads the sold prices and the tax and reports this data. Output Example The average sale price was $166.8 thousand. The average RE tax was $3456.1 thousand.
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- This dataset “Birthweight_reduced_kg_R" contains information on new born babies and their parents. In the following a description of each variable is given: Name Variable Baby number Length of baby (cm) Weight of baby (kg) headcirumference Head Circumference ID length Birthweight Gestation Gestation (weeks) smoker Mother smokes 1 = smoker 0 = non-smoker motherage Maternal age Number of cigarettes smoked per day by mother mnocig Mothers height (cm) Mothers pre-pregnancy weight (kg) Father's age mheight mppwt fage Father's years in education Number of cigarettes smoked per day by father fedyrs fnocig Father's height (kg) Low birth weight, 0 = No and 1 = yes Mother over 35, 0 = No and 1 = yes fheight lowbwt mage35 Task 1: Load the csv file into Python environment and get the required columns to be used as x and y. Task 2: Use correlation coefficient to find and discuss the following: 1. Relationship between maternal height and baby length. 2. Relationship between mother's pre-pregnancy…Complete the move_dollar_to_the_left(coins_list, position_number, to_move) function. This function takes three parameters (the coins list, the position of the "$" symbol to be moved and the number of positions to move). Firstly, work out the new position for the "$" symbol being moved (always moving to the left). The function replaces the "$" symbol in the position given by the parameter, position_number, '$'] and the position number to with a "-" symbol, and moves a "$" symbol into the new position in the list. For example, if the coins list is ['$', '-', '$', '-', '$', move the coin from is 9 (the last position in the list) and the number of places to move is 3, the function should modify the list to: "['$', '$', '$', '-']. Note: • The position number is a number starting from 1, therefore referring to the "$" symbol in position 9 is referring to the "$" symbol at index 8 of the parameter list. • The function makes changes in place. (i.e. it changes the list that is passed to the…The management of your team wants to compare the team with the assigned team (the Bulls in 1996-1998). They claim that the skill level of your team in 2013-2015 is the same as the skill level of the Bulls in 1996 to 1998. In other words, the mean relative skill level of your team in 2013 to 2015 is the same as the mean relative skill level of the Bulls in 1996-1998. Test this claim using a 1% level of significance. Assume that the population standard deviation is unknown. Make the following edits to the code block below: 1. Replace ??DATAFRAME_ASSIGNED_TEAM?? with the name of assigned team's dataframe. See Step 1 for the name of assigned team's dataframe. 2. Replace ??DATAFRAME_YOUR_TEAM?? with the name of your team's dataframe. See Step 2 for the name of your team's dataframe. 3. Replace ??RELATIVE_SKILL?? with the name of the variable for relative skill. See the table included in Project Two instructions above to pick the variable name. Enclose this variable in single quotes. For…
- Complete the calculate_average () function that takes a list of integers called numbers as its parameter. The function returns the average of the integers in this list, which is calculated as follows: 1. Only non-negative integer values are considered when calculating the average. 2. If the integer 99999 is encountered in the list, subsequent integers are not considered when calculating the average. 3. The integer 99999 is not considered when calculating the average. 4. If there are no non-negative integers encountered before the integer 99999, then the average is set to 0.0. The function returns the average rounded to 2 decimal places. For example: Test numbers = [-6, 4, 6, -10, 17, 17, 18, 99999, 18, 6] print("The average value is:", calculate_average (numbers)) numbers = [99999, -8, -8, 0, 5, 17, -8, 4, -2, -17] print("The average value is:", calculate_average (numbers)) Result The av The avWhoever must play, cannot play def subtract_square(queries): Two players play a game of "Subtract a square", starting with a positive integer. On their turn to play, each player must subtract some square number (1, 4, 9, 16, 25, 36, 49, ...) from the current number so that the result does not become negative. Under the normal play convention of these games, the player who moves to zero wins, leaving his opponent stuck with no possible moves. (In the misère version of the game that has otherwise identical rules but where you win by losing the original game, these definitions would be adjusted accordingly.) This and many similar combinatorial games can be modelled with recursive equations. This game is an example of an impartial game since the moves available to both players are exactly the same, as opposed to “partisan games” such as chess where each player can only move pieces of one colour. A game state is therefore determined by the remaining number alone, but not by which player has…Cargo Container Report. You will be producing a program which will allow the user to generate the container report on the following page in Container Number order or Ship Name order. The program will also the user to lookup the data for any given Container by number. The % cargo weight is the percentage of the cargo of the gross weight (cargo weight/gross weight), % total is the percentage of the cargo for that container of the total amount of cargo unloaded (cargo weight for the container / total cargo unloaded. Hint: you are expected to use methods for your calculations. The accompanying file has the data for the containers unloaded today. The data includes container number int ship name. String tare weight of the container (empty weight) int the gross weight (container plus the cargo). Int You will need to computer the cargo weight as the gross weight minus the tare weight. If you have issues reading the data with the String, you may remove the String. However, you will lose points.…
- PYTHON CODE Using Artists.csv (link below), write a query that returns all lines that are female artists only, with begin date greater than 1950 but no greater than 2000 Write a query that will return all lines of British Male artists, who's first names starts with the letter ‘A’ and has an end date earlier than 1990 Write a query that will write to a file all lines that have Japanese Artists who’s difference of end date and begin date exceeds 100 years. I.e. if artist begins in 1900 and ends in 2005, then they would be included in the output (2005-1900 = 105 years) Write a query that will write and find to a file the artist who’s been at the Museum the longest (the widest gap between Begin Date and End Date) Artists.csv: https://media.githubusercontent.com/media/MuseumofModernArt/collection/master/Artists.csvint is total, not totalthatCreate a function that calculate the total commission (code of tables CREATE TABLE Salesman ( [salesman_id] INT, [name] NVARCHAR(10), [City] NVARCHAR(8), [commission] NUMERIC(3, 2),);INSERT INTO Salesman VALUES (5001,N'James Hoog',N'New York',0.15), (5002,N'Nail Knife',N'Paris',0.13), (5005,N'Pit Alex',N'London',0.11), (5006,N'Mc Lyon',N'Paris',0.14), (5007,N'Paul Adam',N'Rome',0.13), (5003,N'Lauson Hen',N'San Jose',0.12); CREATE TABLE Customer ( [customer_id] INT, [cust_name] NVARCHAR(14), [city] NVARCHAR(10), [grade] INT, [salesman_id] INT);INSERT INTO Customer VALUES (3002,N'Nick Rimando',N'New York',100,5001), (3007,N'Brad Davis',N'New York',200,5001), (3005,N'Graham Zusi',N'California',200,5002), (3008,N'Julian Green',N'London',300,5002), (3004,N'Fabian Johnson',N'Paris',300,5006), (3009,N'Geoff Cameron',N'Berlin',100,5003), (3003,N'Jozy Altidor',N'Moscow',200,5007), (3001,N'Brad Guzan',N'London',NULL,5005); )…
- in the code stud_avg, final_exam = get_grade_stats(student_scores) "get_grade_stats" refers to its,HW7_3 Ball bearings are hardened through a process known as quenching-submersion of the heated ball bearing in oil or water in order to cool it rapidly. The data below represent the temperature of the ball at various points in the cooling process time (sec) 0 30 Temp (C) 800 457 269 79 46 60 150 240 Plot the data (as discrete points). In the same figure window, also plot a) interpolating polynomial, (use polyfit and polyval) b) piecewise cubic interpolation (not-a-knot) and c) piecewise cubic interpolation (shape-preserving) Include a legend for the three methods used: polynomial interpolation, not-a-knot, shape-preserving. Then looking at the plot, choose the method you believe to be the best and smoothest fit of all these to predict the temperature after 3 minutes of cooling. Print the result using fprintf.Some rows of the STUGRADE table of a school are shown below: STU_CODE CLS_CODE GRADE YEAR 291 111 3.1 2010 938 101B 2.3 2011 931 M101 3.3 2040 291 M101 3.4 2018 190 111 2.0 2021 931 321 3.9 2003 Suppose that STU_CODE is the student code (foreign key) and CLS_CODE is the class code (foreign key). Which of the following computes the average for each year of the student with code 931? a. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931 GROUP BY YEAR b. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931. c. SELECT AVG(GRADE) FROM STUGRADE GROUP BY STU_CODE = 931 d. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931 GROUP BY AVG(GRADE)