UK Car Accidents Data Manipulation
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1 UNCLASSIFIED, P1 UK Car Accidents Data Manipulation Objectives Perform a simple sort Apply a Quick Table Calculation Create an easy group Create a custom annotation Perform a Union (Extra Credit) Simple Sort 1. Open the Exercise 2 UK Accidents starter workbook in Tableau. 2. On the Casualties worksheet, create a table that shows number of casualties per accident severity in each Police Force district. 3. Use a color spectrum palette to which Police Force districts had the least number of casualties and which had the greatest in each Accident Severity category. 4. Perform a quick sort on the Slight column to order the Police Force field in descending order.
2 UNCLASSIFIED, P2 Which Police Force has the greatest number of casualties for Slight Accident Severity category? Quick Table Calculation 1. Duplicate the Casualties worksheet. 2. Add a Quick Table Calculation to the visualization to rank the Number of Casualties per Police Force in the Slight column in ascending order. Which Police Force district has the greatest number of casualties in the Serious and Fatal Accident Severity categories? Looking at the ranks, how many different Police Force districts are there? Does ranking the data help to clarify the visualization? Why or why not?
3 UNCLASSIFIED, P3 Easy Group Groups combine related entries into one. Take a look at the visualization you just created. Are there any entries in the Police Force column that could represent the same district but may have been named slightly differently in the dataset? If so, perform an easy group to combine the data in those Police Force entries into a single observation. After grouping, how many Police Force districts are ranked in this visualization? Custom Annotation 1. Open a new worksheet and plot the Number of Records by Police Force district using circle marks. 2. Apply a color spectrum palette to the visualization for the average speed limit per Police Force district. 3. Add a custom annotation by right-clicking on a mark in the visualization. 4. Format the annotation to match the following:
4 UNCLASSIFIED, P4 What is the average speed limit for accidents that occur in the Metropolitan Police district? Based on this visualization what can we conclude about the reason the number of casualties in the Metropolitan Police district is so much greater than in the other districts? Union Data (Extra Credit) Recall that a union is the process of combining like data tables in a stacking method. Rows are appended from one table to another. Tables must come from the same connection. 1. Create a new worksheet 2. Create an area graph that shows the Number of Casualties that occurred per month 3. Now add Light Conditions to your visualization to see how light conditions affect the number of casualties throughout the course of the year. 4. Create a color palette to compare the Number of Casualties based on Road Type.
5 UNCLASSIFIED, P5 So far, we can only see the data for the year If we want to compare 2007 to 2008 we must perform a Union to combine the 2007 and 2008 datasets. 5. To perform the Union, simply drag the Accidents (2008) dataset and drop it underneath Accidents (2007) in the data field. Your visualization will automatically update.
6 UNCLASSIFIED, P6 What conclusions can you draw about the effect that Light Condition has on the Number of Casualties throughout a given year? Why? What conclusions can you draw about the Number of Casualties in 2007 verses 2008? What conclusions can you draw about the effect that Road Type has on the Number of Casualties?
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