#include "lesser_pandas.h" int main() { DataFrame df("data.csv"); cout << "Full DataFrame:\n"; cout << df << endl; cout << "First 3 rows:\n"; df.head(3); cout << "Last 2 rows:\n"; df.tail(2); // Access a single column Column& age_col = df["Age"]; cout << "Age column:\n" << age_col << endl; // Compute mean of Age column (ignoring missing values) cout << "Mean age: " << age_col.mean() << endl; age_col.fillna(age_col.mean()); cout << "Age column after filling missing values with the average:\n" << age_col << endl; // Save the DataFrame to a file named "output.csv" df.save_to_csv("output.csv", true, "|", true, "N/A", {"Age", "Salary"}); df.fillna(5); cout << "DataFrame after filling missing values:\n"; cout << df << endl; // Rename columns df.rename({{"Age", "Years"}, {"Salary", "Income"}}); cout << "DataFrame after renaming columns:\n"; cout << df << endl; cout << df["Income"]; cout << "Min Salary: " << df["Income"].min() << endl; cout << "Max Salary: " << df["Income"].max() << endl; // Filtering DataFrame newData = df[df["Years"] > 30]; cout << newData << endl; return 0; }