Good luck and I hope u can find the right answer
#include <stdio.h>
struct student {
char firstName[50];
int roll;
float marks;
} s[5];
int main() {
int i;
printf("Enter information of students:\n");
// storing information
for (i = 0; i < 5; ++i) {
s[i].roll = i + 1;
printf("\nFor roll number%d,\n", s[i].roll);
printf("Enter first name: ");
scanf("%s", s[i].firstName);
printf("Enter marks: ");
scanf("%f", &s[i].marks);
}
printf("Displaying Information:\n\n");
// displaying information
for (i = 0; i < 5; ++i) {
printf("\nRoll number: %d\n", i + 1);
printf("First name: ");
puts(s[i].firstName);
printf("Marks: %.1f", s[i].marks);
printf("\n");
}
return 0;
}
#◌⑅⃝●♡⋆♡Nåmřāthā ♡⋆♡●⑅◌
Answer:
Digital technology is easy to understand once you know how to properly use it.
Explanation:
Answer:
import pandas as pd
df = pd.read_csv('nycHistPop_csv', skiprows=5)
NY_region = list(df.columns[1: -1])
select_region = input("Enter region: ")_capitalize()
if select_region in NY_region:
pass
else:
raise("Region must be in New york")
def pop(location):
# or used describe() to replace all like: print(df[location]_describe())
print(df[location]_min())
print(df[location]_max())
print(df[location]_mean())
print(df[location]_median())
print(df[location]_td())
pop(select_region)
Explanation:
Pandas is a python packet that combines the power of numpy and matplotlib used for data manipulation. It is good for working with tables that are converted to dataframes.
The nycHistPop_csv file is read to the code to a dataframe called "df", then the user input and the function "pop" is used to automatically generate the statistics of a given region.
Answer:
The answer to that my friend, Is 0 :D
Explanation:
