Stage 3: Data

Refinement and Display

Environmental Quality Assessment Data: Tables of resultsDescribe and justify how the data collated/processed into tables?

Data for 48 environmental quality assessment in both Quinton and Ladywood were tabulated in order from highest to lowest scores (see next slide)

Positives Negatives

Individual scores can be easily identified

Difficult to see clear differences in the data

Outer Suburbs - Quinton Inner Suburbs - Ladywood

Environmental Quality Score Data Sorted Environmental Quality Score Data Sorted

highest highest

25 7 -3 -1923 7 -4 -1920 7 -5 -1920 7 -6 -1919 6 -6 -2019 6 -6 -2018 6 -7 -2116 5 -8 -2116 4 -9 -2216 4 -10 -2315 4 -10 -2414 4 -12 -2513 4 -12 -2513 3 -13 -2512 3 -14 -2512 2 -15 -2610 2 -15 -2610 1 -15 -2810 0 -15 -2810 0 -16 -2910 -1 -16 -30

8 -1 -16 -318 -2 -16 -317 -6 -16 -36

lowest lowest

Environmental Quality Assessment Data:Box PlotsDescribe and justify how the data was represented graphically into Box Plots.48 EQA scores for Quinton and Ladywood used to create box plots:

Positives Negatives

Box plots can be use to determine if a significant difference exists between the two data sets by comparing the level of overlap of the inter-quartile ranges

Apart from the highest, lowest and median value it is difficult to determine precise data values from each data set

Photographs and Fieldwork NotesDescribe and justify how this data has been used and displayed

Photographs were annotated with field notes recorded at each location:

Litter on street

Many properties are for student rental accommodation

Low level of property maintenance

Properties lack privacy

Positives Negatives

Annotated photos help to justify the Environmental Quality Assessment scores

Choice of annotations can be subjective

Census DataDescribe and justify how the data was collated/processed into tables?

Data for 12 socio-economic Census indicators of wealth/deprivation for 2 LLSOA in both Quinton and Ladywood were tabulated (see next slide)

Positives Negatives

Individual scores can be easily identified

Difficult to see clear differences in the data

Data for 12 socio-economic Census indicators of wealth/deprivation for 2 LLSOA in both Quinton and Ladywood were plotted in the form of bar charts. The average value for each indicator in Birmingham was also plotted to provide a point of comparison. (see next slide)

Census DataDescribe and justify how the data was collated/processed into a bar chart?

Positives Negatives

• Enables a clear visual comparison between the inner and outer areas of Birmingham for each socio-economic Census indicator

•Allows for a visual comparison with the average value for Birmingham

Does not prove that there is a significant difference between the values for the inner and outer area

Police Crime DataDescribe and justify how the data collated/processed into tables?Describe and justify how the data was represented graphically into Box Plots.

YOU need to do this bit on your own!!

Use Minitab to plot your box plots – see next slides for help

I love Geography. It’s just one fun activity followed by another!!

Month of 2014 Quinton B32 1LB Ladywood B16 8RB

January

February

March

April

May

June

July

August

September

October

November

December