Dataset

A dataset is a defined collection of data points gathered for a purpose. Tabular datasets have rows (records) and columns (fields), but datasets can also be collections of images, audio clips, or documents.

Why it matters

Every analysis and model starts with a dataset, and its coverage, accuracy, and documentation set the ceiling on what you can learn. Knowing its source, collection method, and license avoids misuse. A well-documented dataset saves hours of guessing and prevents misinterpreted columns.

Example

A small tabular dataset in CSV form:

date,visits,bounce_rate
2026-10-01,1240,0.41
2026-10-02,1315,0.39
2026-10-03,1190,0.44

Each row is one day; each column is a variable. For model work it is usually split into training, validation, and test portions.

Common mistakes

• Using a dataset without checking how it was collected or whom it excludes.
• Missing documentation for what columns and units mean.
• Ignoring license terms on public datasets.

Related

• Training data
• Data cleaning
• CSV
• Metadata

यह पेज सामान्य जानकारी है, जिसे हमारी संपादकीय टीम ने लिखा है और दस्तावेज़ीकरण बदलने पर अपडेट किया जाता है। सर्वर और प्रदाता अलग-अलग होते हैं, इसलिए बदलाव पहले सुरक्षित तरीके से जाँचें। देखें: संपादकीय नीति और अस्वीकरण.