Import the dataset Student.csv. Display only the variable names of the Student.csv dataset. code in R language. StudentID First Last Math Science Social Studies 11 Bob Smith 90 80 67 12 Jane Weary 75 80 10 Dan Thornton, III 65 75 70 40 Mary O'Leary 90 95 92
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Import the dataset Student.csv. Display only the variable names of the Student.csv dataset. code in R language.
| StudentID | First | Last | Math | Science | Social Studies |
| 11 | Bob | Smith | 90 | 80 | 67 |
| 12 | Jane | Weary | 75 | 80 | |
| 10 | Dan | Thornton, III | 65 | 75 | 70 |
| 40 | Mary | O'Leary | 90 | 95 | 92 |
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- Please modify the code below for "Current Date" ********************************************************************** from pandas_datareader import data as pdrimport yfinance as yfin # Work around until# pandas_datareader is fixed.import datetimeimport pandas as pdimport matplotlib.pyplot as pltimport numpy as np# Show all columns.pd.set_option('display.max_columns', None)pd.set_option('display.width', 1000)def getStock(stk, numDays):print(stk)# Only gets up until day before during# trading hoursdt = datetime.date.today()# For some reason, must add 1 day to get current stock prices# during trade hours. (Prices are about 15 min behind actual prices.)dtNow = dt + datetime.timedelta(days=1)dtNowStr = dtNow.strftime("%Y-%m-%d")dtPast = dt + datetime.timedelta(days=-numDays)dtPastStr = dtPast.strftime("%Y-%m-%d")yfin.pdr_override()df = pdr.get_data_yahoo(stk, start=dtPastStr, end=dtNowStr)return df################################################################### CONFIGURATION…orderdp.cpp: #include <fcntl.h> #include <stdlib.h> #include <unistd.h> #include <inttypes.h> #include "orders.h" item::item(uint16_t s, uint16_t q) : sku(s), quantity(q) { } item_list::item_list() : items(NULL), num_products(0) { } void item_list::add(const item& i) { items = (item**)realloc(items, (num_products+1)*sizeof(item*)); items[num_products] = new item(i); num_products++; } order::order(uint16_t o, std::string n) : order_id(o), customer_name(n) { } void order::addItem(const item& i) { product_items.add(i); } order** read_orders(const char* filename, uint16_t* num_orders) { int fd; fd = open(filename, O_RDONLY); int err = fd; if (err == -1) { return NULL; } read(fd, num_orders, sizeof(*num_orders)); order** orders = new order*[*num_orders]; for (int i=0; i<*num_orders; i++) { uint16_t order_id; uint16_t num_products; read(fd, &order_id,…Please help me! The program is able to accept 3 input scores from the user. The average of the 3 scores can also be obtained. How do I show thw highest score and the lowest score from the 3 input scores. strictly use this program below import csv# Define global variablesstudent_fields = [' Student No.', ' Name', ' Age', ' Email address']math = ['Math']physics = ['Physics']computer = ['Computer']average = ['Average']student_database = 'students.csv' def display_menu():print(" Welcome to Student Management System ")print("1. Add New Student")print("2. View Students")print("3. Search Student")print("4. Update Student")print("5. Delete Student")print("6. Quit") def add_student():print("Add Student Information")global student_fieldsglobal mathglobal physicsglobal computerglobal averageglobal student_database student_data = []for field in student_fields:value = input("Enter" + field + ": ")student_data.append(value)for m in math:m = int(input("Enter your math grade: "))student_data.append(m)…
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- Sort results by reverse domain: Create a data category. Domain that depicts domain names, including a suitable compareTo() function where the natural order is in reverse domain name order. For example, cs.princeton.edu's mirror name is edu.princeton.cs. This is helpful for analysing site logs. Use s.split(".") to divide the string s into pieces separated by underscores. Create a client that takes normal input and displays the reverse domains in sorted order.C sharp Table: Student (the headers are the field names in the Students table) StudentID Name Age Gender ProgramID 791 Stephanie Brown 19 Female BCS 236 Shannon Dawn 25 Female BA 618 Geoff Berg 24 Male ARET 256 Andrew Schilling 22 Male BSC 902 Gary Sang 23 Male DAAD Note: There is a StudentDataSet with a Student table, a StudentTableAdapter, a StudentBindingSource, and a StudentDataGridView control on the form.Note: There is an Average query, named Average, that returns the average age of the student from the Student table.Note: There is also Max query, named Highest, that returns the highest age of the student from the Student table.Write the code you would place in the AverageButton click event on your form to call the Average query and the Highest query and display in a DifferenceLabel, the difference between the highest age of a student and the average age.Please written by computer source Eight students' grades in the respective courses are given via this dictionary:{'Math' : [80, 89, 93, 66, 84, 85, 74, 64],'Science' : [94, 76, 88, 78, 88, 92, 60, 85],'English' : [83, 76, 93, 96, 77, 85, 92, 60],'History' : [96, 66, 76, 85, 78, 88, 69, 99]}Form the corresponding pandas dataframe and report the means and standarddeviations by student and by course. Provide the 5-number summary for eachcourse.
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