Challenge: Case Outcome Analyzer
To analyze legal case data efficiently, you can use Python's built-in csv module to load data from a hardcoded CSV string. Begin by reading the string as if it were a file using io.StringIO, which allows you to treat strings as file-like objects. After loading the data, you can group cases by the 'Outcome' column to count how many cases resulted in each outcome, such as Win or Loss. To determine which party has the most wins, filter the data for cases where the outcome is Win and then count the number of wins for each party. The party with the highest win count is identified as the top winning party. This process helps you quickly summarize case results and highlight the most successful parties in your data.
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Write a function that analyzes a hardcoded CSV string of legal cases and summarizes the outcomes.
- Load the CSV data from the
csv_datastring usingcsv.DictReaderandio.StringIO. - Count the number of cases for each outcome and store the results in a dictionary.
- Identify the party with the most wins and the number of wins they have.
- Assign the outcome counts dictionary to
result_outcome_counts. - Assign the name of the top winning party to
result_top_party. - Assign the number of wins for the top party to
result_top_wins.
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Can you show me an example of how to implement this in Python?
How do I group the cases by outcome using the csv module?
How can I identify the party with the most wins from the data?
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Completion показник покращився до 4.76Challenge: Case Outcome Analyzer
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To analyze legal case data efficiently, you can use Python's built-in csv module to load data from a hardcoded CSV string. Begin by reading the string as if it were a file using io.StringIO, which allows you to treat strings as file-like objects. After loading the data, you can group cases by the 'Outcome' column to count how many cases resulted in each outcome, such as Win or Loss. To determine which party has the most wins, filter the data for cases where the outcome is Win and then count the number of wins for each party. The party with the highest win count is identified as the top winning party. This process helps you quickly summarize case results and highlight the most successful parties in your data.
Swipe to start coding
Write a function that analyzes a hardcoded CSV string of legal cases and summarizes the outcomes.
- Load the CSV data from the
csv_datastring usingcsv.DictReaderandio.StringIO. - Count the number of cases for each outcome and store the results in a dictionary.
- Identify the party with the most wins and the number of wins they have.
- Assign the outcome counts dictionary to
result_outcome_counts. - Assign the name of the top winning party to
result_top_party. - Assign the number of wins for the top party to
result_top_wins.
Рішення
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівДякуємо за ваш відгук!
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