Data Imported from a comma-separated values (CSV) file with read.csv function will normally appear in the form of a Select one: O matrix O data frame O table O vector
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- Game of Hunt in C++ language Create the 'Game of Hunt'. The computer ‘hides’ the treasure at a random location in a 10x10 matrix. The user guesses the location by entering a row and column values. The game ends when the user locates the treasure or the treasure value is less than or equal to zero. Guesses in the wrong location will provide clues such as a compass direction or number of squares horizontally or vertically to the treasure. Using the random number generator, display one of the following in the board where the player made their guess: U# Treasure is up ‘#’ on the vertical axis (where # represents an integer number). D# Treasure is down ‘#’ on the vertical axis (where # represents an integer number) || Treasure is in this row, not up or down from the guess location. -> Treasure is to the right. <- Treasure is to the left. -- Treasure is in the same column, not left or right. +$ Adds $50 to treasure and no $50 turn loss. -$ Subtracts…Part C - advanced file reading You will need a Python repl to solve part C. Define a Python function named expensive_counties that has two parameters. The first parameter is a string representing the name of a text file. Each line of this text file will be a state code. The second parameter is a string representing the name of a CSV file. The CSV file will be portion of the US government's dataset documenting median rents in each US county. Each row in the CSV file has the format: Area Name, Efficiency, 1-Bedroom, 2-Bedroom, 3-Bedroom, 4-Bedroom, State Code Your function will need to use the accumulator pattern to return a new list. You will need to add to this list the Area Name from every row that meets 2 criteria: (1) The state code (the column at index 6) was a line in the text file named in the first parameter; AND (2) The median rent on a 1-bedroom apartment (the column at index 2) is over 1000. Important Hints: * You will really, really want to use the built-in csv library…Part B - reading CSV files You will need a Python repl to solve part B. Define a Python function named cheapest_rent_per_state that has one parameter. The parameter is a string representing the name of a CSV file. The CSV file will be portion of a dataset published by the US government showing the median (middle) rent in every county in the US. Each row in the CSV file has the same format Area Name, Efficiency, 1-Bedroom, 2-Bedroom, 3-Bedroom, 4-Bedroom, State Code The data in the Area Name and State Code columns are text. The data in all of the other columns are decimal numbers. Your function will need to use the accumulator pattern to return a dictionary. The keys of that dictionary will be the state codes read in from the file (state codes are at index 6). For each key in the dictionary, it's value should be the smallest median rent for an efficiency in that state (median rents for an efficiency are at index 1). Important Hints: * You will really, really want to use the built-in csv…
- True or False Individual variables are well suited for storing and processing lists of data.Computer Science csv file "/dsa/data/all_datasets/texas.csv" Task 6: Write a function "county_locator" that allows a user to enter in a name of a spatial data frame and a county name and have a map generated that shows the location of that county with respect to other counties (by using different colors and/or symbols). Hint: function(); $county ==; plot(); add=TRUE.Non-homogeneous data items are not allowed to be stored in which of the following data structures?
- The capacity of a vector indicates A the number of elements it contains B the number of elements it can currently store the largest number of elements it can store the current size of the vector in bytes Unlike a sequence container, whose elements are organized by index, the elements in an associative container are organized by A value B key memory location pointerAll MATLAB variables are multidimensional arrays True False MATLAB allows you to process all of the values in a matrix using multiple arithmetic operator or function T F Other: Zero or negative subscripts are not supported in MATLAB От OFranddf.py -> using "sys.argv" Create a program called randdf.py that has a function that takes two integer arguments and prints a Pandas dataframe. The two arguments will correspond to the number of rows and number of columns, respectively. The dataframe should be filled with random integers from 0 to 100. Set your random seed to 56.
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