hotdata 0.1.2

Powerful data platform API for datasets, queries, and analytics.
Documentation 
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/*
 * Hotdata API
 *
 * Powerful data platform API for datasets, queries, and analytics.
 *
 * The version of the OpenAPI document: 1.0.0
 * Contact: developers@hotdata.dev
 * Generated by: https://openapi-generator.tech
 */

use crate::models;
use serde::{Deserialize, Serialize};

/// CategoricalProfileDetail : Type-specific column profile detail. The `type` discriminator field determines which variant is present. Profile type is chosen based on the column's Arrow data type and cardinality:  - **categorical**: Text or numeric columns with ≤200 distinct values. Lists each value with its frequency. - **text**: Text columns with >200 distinct values. Reports string length statistics. - **numeric**: Numeric columns with >200 distinct values. Reports min, max, and mean. - **temporal**: Date and timestamp columns. Reports min and max as ISO-8601 strings. - **boolean**: Boolean columns. Reports true and false counts.   Low-cardinality column (≤200 distinct values). Values sorted by frequency descending.
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct CategoricalProfileDetail {
    /// Distinct values with their counts, ordered by count descending
    #[serde(rename = "values")]
    pub values: Vec<models::CategoryValueInfo>,
}

impl CategoricalProfileDetail {
    /// Type-specific column profile detail. The `type` discriminator field determines which variant is present. Profile type is chosen based on the column's Arrow data type and cardinality:  - **categorical**: Text or numeric columns with ≤200 distinct values. Lists each value with its frequency. - **text**: Text columns with >200 distinct values. Reports string length statistics. - **numeric**: Numeric columns with >200 distinct values. Reports min, max, and mean. - **temporal**: Date and timestamp columns. Reports min and max as ISO-8601 strings. - **boolean**: Boolean columns. Reports true and false counts.   Low-cardinality column (≤200 distinct values). Values sorted by frequency descending.
    pub fn new(values: Vec<models::CategoryValueInfo>) -> CategoricalProfileDetail {
        CategoricalProfileDetail { values }
    }
}