Data Analysis Vocabulary

Why completeness important in data analysis?

• To summarize

• Better decision -making

• To make things easier

• Audits and compliance

• If one dataset tracks dates as YYYY-MM-DD and another uses DD/MM/YYYY, you might misinterpret timelines or trends unless everything conforms to a standard. This is an example of:

It helps preserve the integrity and usability of a dataset when some values are missing. Without it, missing data can cause all kinds of problems—errors in calculations, biases in models, or even total failure of certain algorithms.

• Conformity

• Organization

• Cleaning

• Imputing

• Pattern recognition

• Handling non-linear relationships

• Adaptability

• End-to-end learning

• Are advatanges of using....

What can help me try to predict the future?

• Prescriptive Analytics

• Descriptive Analytics

• Predictive Analytics

• 1. Diagnostic Analytics

What can help me answer the question: What should we do about it?

• Predictive analytics

• 1. Descriptive Analytics

• 1. Diagnostic Analytics

• 1. Prescriptive Analytics

📈 Hotter days → more ice cream sold
📉 Cooler days → fewer ice cream sale

This is an example of...

This is an example of...

• Data summarizing

• Data intepretation

• Data wrangling

• Data transformation

ETL stands for

• • Engine Torque Limiting

• • Estimated Time of Landing

• • Extract, Transform, Load

• • Event Trace Log

Organize the letters in louriet