Test-Driven Data Analysis

Test-Driven Data Analysis (TDDA) is a methodology and software framework designed to improve the reliability and quality of data processing workflows. It provides tools for creating metadata descriptions of flat files, such as CSVs, and enables test-driven development practices for data engineering tasks. The approach helps data scientists and engineers manage common data challenges like encoding, types, and null values through structured validation.

LLM mention score

Normalized 0–100 · last 8 weeks

DataForSEO API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.

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How to get LLM mention data →

// Fetch Test-Driven Data Analysis mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "Test-Driven Data Analysis",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]