Home›Courses›Python Programming›Section test

Section checkpoint · 11

pandas for Tabular Data

Use this short test to check whether the main ideas from the section are connected in your mind. A strong score means you can recognise the concepts; revisit linked lessons when an answer feels uncertain.

5questionsTarget: 4/5 or better

Question 11 point

Which concept is most appropriate for this situation: You need labelled tabular data with row/column operations, filtering or aggregation.

Series and DataframeCreate and Transform ColumnsMini Lab Analyse Monthly SalesExport Clean Data

Question 21 point

Which concept is most appropriate for this situation: You need SQL to choose columns and filter rows from a table.

Select Columns and RowsSeries and DataframeExport Clean DataSort Values

Question 31 point

Which concept is most appropriate for this situation: You need to understand or repair incomplete observations without silently biasing the analysis.

Handle Missing ValuesMerge DataframesCreate and Transform ColumnsWork with Dates

Question 41 point

Which concept is most appropriate for this situation: You need to convert wide columns into a longer variable/value representation.

Merge DataframesReshape with MeltSeries and DataframePivot Tables

Question 51 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Mini Lab Analyse Monthly Sales” and explain how its input is transformed into a valid output.

Mini Lab Analyse Monthly SalesWork with Text ColumnsExport Clean DataCreate a Dataframe