instructor/examples/evals/stats_dict.py

from collections import Counter

stats_dict = {
    "$.queries.length": {
        "_reverse_lookup": {
            1: [0, 1, 8, 9, 10, 13, 14, 15],
            2: [7, 11, 16],
            3: [12, 17],
        },
        "counter": Counter({1: 8, 2: 3, 3: 2}),
        "max": 3,
        "mean": 1.5384615384615385,
        "min": 1,
        "missing_values": 0,
        "std": 0.7457969011409735,
        "unique_count": 3,
    },
    "$.queries[*].is_priority": {
        "_reverse_lookup": {False: [13], True: [1, 9, 14, 17]},
        "counter": Counter({True: 4, False: 1}),
        "mean": 0.8,
        "missing_values": 15,
        "unique_count": 2,
    },
    "$.queries[*].query": {
        "_reverse_lookup": {
            "customer churn": [1],
            "customer feedback": [15],
            "customer satisfaction": [11],
            "email campaigns": [12],
            "email open rates": [17],
            "email outreach": [10],
            "marketing strategies": [14],
            "new products": [16],
            "product sales": [11],
            "revenue 2022": [9],
            "revenue streams": [16],
            "sales Q1": [0, 7, 8, 13],
            "sales Q2": [7],
            "social impact": [12],
            "social trends": [17],
            "web traffic": [12],
            "website analytics": [17],
        },
        "counter": Counter(
            {
                "sales Q1": 4,
                "customer churn": 1,
                "sales Q2": 1,
                "revenue 2022": 1,
                "email outreach": 1,
                "product sales": 1,
                "customer satisfaction": 1,
                "social impact": 1,
                "email campaigns": 1,
                "web traffic": 1,
                "marketing strategies": 1,
                "customer feedback": 1,
                "revenue streams": 1,
                "new products": 1,
                "social trends": 1,
                "email open rates": 1,
                "website analytics": 1,
            }
        ),
        "missing_values": 0,
        "str_max_length": 21,
        "str_mean_length": 13.15,
        "str_min_length": 8,
        "str_std_length": 3.8376425054973518,
        "unique_count": 17,
    },
    "$.queries[*].results_limit": {
        "_reverse_lookup": {
            5: [17],
            10: [0, 1, 7, 7, 8, 9, 10, 11, 11, 12, 12, 12, 13, 15, 16, 16, 17, 17],
            15: [14],
        },
        "counter": Counter({10: 18, 15: 1, 5: 1}),
        "max": 15,
        "mean": 10.0,
        "min": 5,
        "missing_values": 0,
        "std": 1.5811388300841898,
        "unique_count": 3,
    },
    "$.queries[*].source_type.enum": {
        "_reverse_lookup": {
            "CRM": [0, 7, 8, 11, 13, 16],
            "EMAIL": [10, 11, 12, 15, 17],
            "SOCIAL_MEDIA": [12, 17],
            "WEB": [1, 7, 9, 12, 14, 16, 17],
        },
        "counter": Counter({"WEB": 7, "CRM": 6, "EMAIL": 5, "SOCIAL_MEDIA": 2}),
        "missing_values": 0,
        "str_max_length": 12,
        "str_mean_length": 4.4,
        "str_min_length": 3,
        "str_std_length": 2.672077843177477,
        "unique_count": 4,
    },
    "$.queries[*].tags": {
        "_reverse_lookup": {},
        "counter": Counter(),
        "missing_values": 16,
        "unique_count": 0,
    },
    "$.queries[*].tags.length": {
        "_reverse_lookup": {1: [15, 17], 2: [10, 14]},
        "counter": Counter({2: 2, 1: 2}),
        "max": 2,
        "mean": 1.5,
        "min": 1,
        "missing_values": 0,
        "std": 0.5,
        "unique_count": 2,
    },
    "$.queries[*].tags[*]": {
        "_reverse_lookup": {
            "2022": [10],
            "2023": [14],
            "analytics": [17],
            "feedback": [15],
            "outreach": [10],
            "strategy": [14],
        },
        "counter": Counter(
            {
                "outreach": 1,
                "2022": 1,
                "strategy": 1,
                "2023": 1,
                "feedback": 1,
                "analytics": 1,
            }
        ),
        "missing_values": 0,
        "str_max_length": 9,
        "str_mean_length": 6.833333333333333,
        "str_min_length": 4,
        "str_std_length": 2.034425935955618,
        "unique_count": 6,
    },
    "$.user_id": {
        "_reverse_lookup": {
            "user_1": [0],
            "user_10": [10],
            "user_11": [11],
            "user_12": [12],
            "user_13": [13],
            "user_14": [14],
            "user_15": [15],
            "user_16": [16],
            "user_17": [17],
            "user_2": [1],
            "user_7": [7],
            "user_8": [8],
            "user_9": [9],
        },
        "counter": Counter(
            {
                "user_1": 1,
                "user_2": 1,
                "user_7": 1,
                "user_8": 1,
                "user_9": 1,
                "user_10": 1,
                "user_11": 1,
                "user_12": 1,
                "user_13": 1,
                "user_14": 1,
                "user_15": 1,
                "user_16": 1,
                "user_17": 1,
            }
        ),
        "missing_values": 0,
        "str_max_length": 7,
        "str_mean_length": 6.615384615384615,
        "str_min_length": 6,
        "str_std_length": 0.48650425541052295,
        "unique_count": 13,
    },
    "_is_json_": {
        "_reverse_lookup": {
            False: [2, 4],
            True: [0, 1, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17],
        },
        "counter": Counter({True: 16, False: 2}),
        "mean": 0.8888888888888888,
        "missing_values": 0,
        "unique_count": 2,
    },
    "_is_valid_": {
        "_reverse_lookup": {
            False: [3, 5, 6],
            True: [0, 1, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17],
        },
        "counter": Counter({True: 13, False: 3}),
        "mean": 0.8125,
        "missing_values": 0,
        "unique_count": 2,
    },
    "_validation_error_": {
        "_reverse_lookup": {
            "$.queries.[*].is_priority.bool_parsing": [6],
            "$.queries.[*].source_type.enum": [3],
            "$.user_id.missing": [5],
        },
        "counter": Counter(
            {
                "$.queries.[*].source_type.enum": 1,
                "$.user_id.missing": 1,
                "$.queries.[*].is_priority.bool_parsing": 1,
            }
        ),
        "missing_values": 0,
        "str_max_length": 38,
        "str_mean_length": 28.333333333333332,
        "str_min_length": 17,
        "str_std_length": 8.653836657164781,
        "unique_count": 3,
    },
}