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初级

分析驳回原因分布

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初级参考 完整示例代码供参考，建议自己理解后重新输入 
def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    csv_data = open_url('https://data.zuihe.com/dbd/ms-datalabel/state_03/disputes.csv').read()
    df = pd.read_csv(StringIO(csv_data))
    result = df['dispute_id'].value_counts()
    for val, count in result.items():
        print(f'{val}: {count}')

示例

输入
solve()
期望输出
DP001: 1
DP002: 1
DP003: 1
DP004: 1
DP005: 1
DP006: 1
DP007: 1
DP008: 1
DP009: 1
DP010: 1
DP011: 1
DP012: 1
DP013: 1
DP014: 1
DP015: 1
DP016: 1
DP017: 1
DP018: 1
DP019: 1
DP020: 1
DP021: 1
DP022: 1
DP023: 1
DP024: 1
DP025: 1
DP026: 1
DP027: 1
DP028: 1
DP029: 1
DP030: 1
DP031: 1
DP032: 1
DP033: 1
DP034: 1
DP035: 1
DP036: 1
DP037: 1
DP038: 1
DP039: 1
DP040: 1
DP041: 1
DP042: 1
DP043: 1
DP044: 1
DP045: 1
DP046: 1
DP047: 1
DP048: 1
DP049: 1
DP050: 1
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