Example 2 (challenges 2 and 3)
In this example, we will be using the Taekwondo_Technique_Classification_Stats.csv and table1.csv datasets from https://www.kaggle.com/ali2020armor/taekwondo-techniques-classification. The datasets were collected by 2020 Armor (https://2020armor.com/), the first ever provider of e-scoring vests and applications. The data includes the sensor performance readings of six taekwondo athletes, who have varying levels of experience and expertise. We would like to see if the athlete's gender, age, weight, and experience influence the level of impact they can create when they perform the following techniques:
- Roundhouse/Round Kick (R)
- Back Kick (B)
- Cut Kick (C)
- Punch (P)
The data is stored in two separate files. We will use pd.read_csv() to read table1.csv into athlete_df and Taekwondo_Technique_Classification_Stats.csv into unknown_df. Before reading on, take a moment to study athlete_df and unknown_df and evaluate their state...
