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Autism Screening Adult/README.md
......@@ -27,7 +27,29 @@ Feel free to explore the data set with multiple **supervised** and **unsupervise
### Data Dictionary
| Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios |
|------------------- |----------------- |----------------------------------------------------------------------------------------------------------------------------------------------------- |-------------- |------------------------------------ |--------------- |
| 1 | A1_Score | Question 1 Answer: Binary (0, 1) | Quantitative | 0, 1 | 0 |
| 2 | A2_Score | Question 2 Answer: Binary (0, 1) | Quantitative | 0, 2 | 0 |
| 3 | A3_Score | Question 3 Answer: Binary (0, 1) | Quantitative | 0, 3 | 0 |
| 4 | A4_Score | Question 4 Answer: Binary (0, 1) | Quantitative | 0, 4 | 0 |
| 5 | A5_Score | Question 5 Answer: Binary (0, 1) | Quantitative | 0, 5 | 0 |
| 6 | A6_Score | Question 6 Answer: Binary (0, 1) | Quantitative | 0, 6 | 0 |
| 7 | A7_Score | Question 7 Answer: Binary (0, 1) | Quantitative | 0, 7 | 0 |
| 8 | A8_Score | Question 8 Answer: Binary (0, 1) | Quantitative | 0, 8 | 0 |
| 9 | A9_Score | Question 9 Answer: Binary (0, 1) | Quantitative | 0, 9 | 0 |
| 10 | A10_Score | Question 10 Answer: Binary (0, 1) | Quantitative | 0, 10 | 0 |
| 11 | Age | Age in years | Quantitative | 24, 32, 40 | 1 |
| 12 | Gender | Gender (m: Male, f: Female) | Qualitative | "m", "f" | 0 |
| 13 | Ethnicity | List of common ethnicities (White-European, Latino, Others, Black, Asian, Middle Eastern, Pasifika, South Asian, Hispanic, Turkish) | Qualitative | "Middle-Eastern", "Asian", "Black" | 13 |
| 14 | Jundice | Whether the case was born with Jundice (Yes, No) | Qualitative | "yes", "no" | 0 |
| 15 | Austim | Whether any immediate family member has a PDD (Yes, No) | Qualitative | "yes", "no" | 0 |
| 16 | Country_of_res | Country of residence (List of countries) | Qualitative | "Austria", "Ireland", "Jordan" | 0 |
| 17 | Used_app_before | Whether the user has used the screening app before (Yes, No) | Qualitative | "yes", "no" | 0 |
| 18 | Result | Screening score: The final score obtained based on the scoring algorithm of the screening method used. This was computed in an automated manner | Quantitative | 5, 8, 10 | 0 |
| 19 | Age_desc | 18 more | Qualitative | "18 and more" | 0 |
| 20 | Relation | Who is completing the test (Self, Parent, Health care professional, Relative, etc) | Qualitative | "Parent", "Self", "Relative" | 13 |
| 21 | Class/ASD | yes, no | Qualitative | "yes", "no" | 0 |
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  • Authore @jejafom440 commented

    Kaggle offers thousands of curated datasets across domains like healthcare, finance, and sports, perfect for building data analysis and machine learning skills.

    UCI Machine Learning Repository hosts classic datasets used in academic research and ML projects, ranging from beginner-friendly to complex real-world data.

    Google Dataset Search helps you discover freely available datasets from universities, research labs, and government agencies for use in data science and AI applications. https://scriptbaldeball.com/

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