gbrigens

Cleaning Data

Appendix: Data Cleaning

To remove duplicates and clean titles to make the data suitable for further analysis. Data cleaning is a fundamental aspect of data analysis and is particularly important when working with real-world datasets, which often contain missing, duplicate, or inconsistent records. We provide detailed steps and rationale behind the steps.

The data-cleaning process is broken down into two major steps:

1. Duplicate Removal: Removing duplicate entries based on multiple criteria.
2. Title Cleaning: Removing conference proceeding information from the titles.

gbrigens

#include <iostream>
#include <string>
using namespace std;

struct Student {
    string name;
    int id;
    int marks[3];
};

gbrigens

struct HolidayResponse: Codable {
    let response: Holidays
}

struct Holidays: Codable {
    let holidays: [HolidayDetail]
}
struct HolidayDetail:Codable {
    let name: String
    let date: HolidayDate