Data Fields and Variables Lab and Homework

The reactors$-$operating file was downloaded from Data.gov in January of $2020$ and contains information about location and power capacity of nuclear reactors in the United States.

As you had done in your previous assignment:

$$ Open the January$-$reactors$-$operating.xls file in Tableau.

$$ Drag Operating Rx$-$data.gov sheet into the data connection canvas.

$$ Run interpreter.

$$ Review the excel file that Tableau generated.

$$ Select $2018$ capacity factor$$ through $2003$ capacity factor$$ columns and pivot.

Split the $$Pivot Field Names$$ column $($right click on the column and select split in the dropdown$)$

Question $1$: Are all fields $($or columns$)$ named appropriately? If not, what fields need to be renamed?

Rename fields that need to be renamed.

Question $2$: Are all data types correct? For example, are date fields showing the date icon? Are there any fields that seem numeric but refer to categories? List incorrect data types.

Correct the data types $($click on icon and select the appropriate type from the drop$-$down menu$)$

Question $3$: Which column contains a calculated field $($hint: look for a $=$ in front of the data type icon$).$ Why is this column a calculated field?

Click on Sheet $1.$ Drag the capacity factor field $($the field that was created in the pivot step$)$ to rows. Notice that the field is aggregated as sum. Change the sum aggregation to average by right$-$clicking on the field and selecting measure and then average.

Drag the date field corresponding to the year that the capacity factor was measured to the columns shelf. Note the result. $($Hint: examine the x$-$axis.$)$

Drag reactor and containment type to color.

Change the date field to continuous $($right click on the field and select continuous$).$ Note how the graph changes. $($Hint: examine the x$-$axis$).$

Question $4$: How did graph change when you changed the date field to continuous. Why is it better to use the continuous field?