Across
- 3. (Python)This library is essential for anyone who wants to scrape data from websites in a structured way, almost like having a net for the web.
- 5. (R)To randomly sample from a dataset or vector in R, this function helps you draw a subset of data, crucial for tasks like bootstrapping or data splitting.
- 7. (Power BI)When dealing with time series data, this type of visual helps you track changes over periods, identifying trends, and seasonality.
- 10. (SQL)This command adds new rows of data into a table, allowing you to grow your dataset step by step.
Down
- 1. (SQL)When you want to filter your query results to match specific criteria, this clause ensures that only the rows you need are retrieved.
- 2. (Excel)You want to quickly summarize a large dataset by categorizing and aggregating information, creating instant insights. Which feature do you use?
- 4. (Python)This is Python's built-in way to open and work with files, making reading, writing, and managing data a breeze.
- 6. (Power BI)If you need to create custom calculations on your data model to enrich your analysis, this feature is your go-to for complex data manipulation.
- 8. (Excel)To identify whether certain conditions are met and return specific results, this function acts like a logic gate within your spreadsheet.
- 9. (R)When working with categorical variables, this function helps you transform a regular vector into a special data type that R recognizes as categories.