Use the pandas function read_csv() to load the file match_map_stats.csv as a DataFrame. Name this DataFrame df.

1b) Print the first 5 rows of the DataFrame

1c) Print the column names in df

We have the following columns

• round_start_time Stating time of the round
• round_end_time Ending time of the round
• stage Stage of the competition
• match_id Id for the match
• game_number Game number in the given match
• match_winner Winner of the match
• map_winner Winner of the game/map
• map_loser Lost of the game/map
• map_name Name of map
• map_round Round number (each map has several rounds)
• winning_team_final_map_score Final score of map winner
• losing_team_final_map_score Final score of map loser
• control_round_name Name of the round if it was a control type map
• attacker Team that was the attacker
• defender Team that was the defender
• team_one_name Name of first team in match
• team_two_name Name of second team in match
• attacker_payload_distance Distance the attacker moved the payload on payload maps
• defender_payload_distance
• attacker_time_banked Attacker time left over
• defender_time_banked Defender time left over
• attacker_control_perecent Percent objective was charged by the attacker team
• defender_control_perecent Percent objective was charged by the defender team
• attacker_round_end_score Attacker score at the end of this round
• defender_round_end_score Defender score at the end of this round