I try to merge the two datasets below usingthe following codeuse test score.dta, clearmerge 1:1 student using hw_score.dta,keep(3) nogenBut I receive the error:"file hw_score.dta not found"What is the likely reason for this error?studenttest_score11822274339344915591studenthw_score129923823483459051070

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Answered: I try to merge the two datasets below…

Np Ms Office 365/Excel 2016 I Ntermed

1st Edition

ISBN:9781337508841

Author:Carey

Publisher:Carey

Chapter3: Performing Calculations With Formulas And Functions

Section: Chapter Questions

Problem 3.15CP

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The following code doesn't correctly return the index values of the minimum contiguous subsequence. Please modify it so that it does, with comments if possible. def minSumRec(a, left, right): if left == right: return [a[left], left, right] center = int((left + right) / 2) min_left_sum = minSumRec(a, left, center) min_right_sum = minSumRec(a, center + 1, right) min_left_border_sum, left_border_sum = 1e9, 0 for i in range(center, left - 1, -1): left_border_sum += a[i] if left_border_sum < min_left_border_sum: min_left_border_sum = left_border_sum min_right_border_sum, right_border_sum = 1e9, 0 for i in range(center + 1, right + 1): right_border_sum += a[i] if right_border_sum < min_right_border_sum: min_right_border_sum = right_border_sum min_border_sum = min_right_border_sum + min_left_border_sum minSum = min(min_left_sum[0], min_right_sum[0], min_border_sum) if minSum == min_left_sum: return min_left_sum if minSum == min_right_sum: return min_right_sum return…
Hello, I am having trouble with this code in c++ for my advance data structure course . I am using the onlinegdb.com complier and get this small issue. I have provided both the snip of the result as well as the code. main.cpp #include<iostream>#include"Student.h"#include<iostream>#include "Student.h"#include "Faculty.h"using namespace std; int main(){ Student std("John","Smith",3.75,"Spring 2019"); Faculty faculty("Mary","Smith","2019"); cout<<"===========================================\n"; faculty.Print(); cout<<"===========================================\n"; cout<<"\n\n\n"; cout<<"===========================================\n"; std.Print(); cout<<"===========================================\n"; return 0;} Person.h ifndef PERSON_H#define PERSON_H#include<iostream>#include<string>using namespace std;class Person{private: int personID; string firstName; string lastName;public: Person(string fName,…
Write a program that uses the natural merge algorithm on the two data files provided (merge_1.txt and merge_2.txt) to merge the two files into one, and then state which value appears at index 100. File format: a single integer that is the number of values to follow, followed by at least that number of integers. That first integer is not part of the data. merge_1.txt 100350 659 684 484 735 514 723 473 127 747 735 167 482 954 914 173 186 910 819 879 403 543 776 674 796 342 84 197 130 968 296 863 739 6 301 684 542 515 199 310 338 274 3 57 391 411 968 621 901 370 16 136 818 56 28 171 599 331 979 329 919 946 814 88 75 425 691 650 777 374 688 625 315 199 412 536 617 200 938 293 560 623 426 958 991 279 321 389 310 5 500 578 161 356 889 792 685 625 59 971 merge_2.txt
dataframe = pd.read_csv('https://raw.githubusercontent.com/Explore-AI/Public-Data/master/Data/regression_sprint/titanic_train_raw.csv') df = pd.read_csv('https://raw.githubusercontent.com/Explore-AI/Public-Data/master/Data/regression_sprint/titanic_test_raw.csv') Write a function that takes in as input a dataframe and a column name, and returns the mean for numerical columns and the mode for non-numerical columns. Function Specifications: The function should take two inputs: (df, column_name), where df is a pandas DataFrame, column_name is a str. If the column_name does not exist in df, raise a ValueError. Should return as output the mean if the specified column is numerical and return a list of the mode(s) otherwise. The mean should be rounded to 2 decimal places. If there is more than one mode for a given non-numerical column, the fuction should return a list of all modes. def calc_mean_mode(df, column_name): # your code here return calc_mean_mode(df,'Age') Expected Outputs:…
I want this code using local search not backtracking!
Open a SAS session. Suppose we want to create a variable in the sashelp.pricedata dataset. Use a DATA step to create a copy of the sashelp.pricedata dataset and create a new variable that is the sum of the price1, price2, ..., price 17 variables. Note that when using a SAS function, you can specify all columns between two columns (including start and end) using the word of and a dash. The syntax similar to name_of_function(of columnstart-columnend) What is the value of the sum variable for the fifth observation (MAY98)? Report your answer to one decimal place
DataStructure, SHOW THE STEPS IN CLEAR HANWRITING PLEAS and Dont forget the Deletion it is importatn. Thank u
Use import sys. Use the german_credit_data.csv file to complete the following assignment. Create a file, german.py, that loads the .csv file and runs a regression predicting credit amount from age and duration, in that order. Add a constant using sm.add_constant(data). You will need to rename the column 'Credit amount' and should change it to 'Credit_amount'. Note: you will not need to upload the .csv to CodeGrade because I have pre-loaded it. Then, print the parameters and R-squared to 2 decimals using print(model.params.round(2)) print(model.rsquared.round(2))
Suppose that the file inData.txt, data set 1, contains the following data: Giselle Robinson Accounting 5600 5 30 450 9 75 1.5 The first line contains a person’s first name, last name, and the department the person works in. In the second line, the first number represents the monthly gross salary, the bonus (as a percent), and the taxes (as a percent). The third line contains the distance traveled and the traveling time. The fourth line contains the number of coffee cups sold and the cost of each coffee cup. Write statements so that after the program executes, the contents of the file outData.txt are as shown below. If necessary, declare additional variables. Your statements should be general enough so that if the content of the input file changes and the program is run again (without editing and recompiling), it outputs the appropriate results. Name: Giselle Robinson, Department: Accounting Monthly Gross Salary: $5600.00, Monthly Bonus: 5.00%, Taxes: 30.00% Paycheck: $4116.00…
What if this code could be done with user-defined functions? All other previous rules would continue to apply. import csv csv_data = []with open("sample-data.csv") as f: reader = csv.reader(f) for row in reader: csv_data.append(row) f.close() csv_data.pop(0) # Find unique citiescities = set()for row in csv_data: cities.add(row[1]) # Calculate average height for each citycity_heights = []for city in cities: heights_sum = 0 heights_count = 0 for row in csv_data: if row[1] == city: heights_sum += float(row[2]) heights_count += 1 avg_height = heights_sum / heights_count city_heights.append((city, avg_height)) # Calculate difference from average height for each personperson_diffs = []for row in csv_data: name = row[0] city = row[1] height = float(row[2]) city_avg_height = None for c, h in city_heights: if c == city: city_avg_height = h break diff = abs(height - city_avg_height)…
I need to know how to loop through a SQL query using PDO in PHP while only returning results under a specific condition. Below is an example of a code of my problem which checks to see if the generated number already exists in the database and only then commits the task. (The generated number in the example below already exists in the database but it is not returning anything.) <?php $mark = 100; $random = $mark.rand(100000, 999999); $result = $pdo->query('SELECT user_ID FROM user'); $row = $result->fetchAll(PDO::FETCH_ASSOC); foreach($row as $rows) { if($rows == 100000324) { echo $rows["user_ID"] . '<br>'; } } ?>
Load the given data set into Google Colab python 1. In USD, find the average salary of Data Scientists as well as the standard deviation. 2. List each unique Job Title 3. For each unique Job Title, find their average salary (USD) and standard deviations. https://uc-bcf.instructure.com/courses/28339/files/5680123?verifier=fXym8nGyMe7CmvKYy7QmRDfcunF4DZwhuqakH1rL&wrap=1

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