gp-clusters

Julian Flowers
14th April 2016

GP dataset

'data.frame':   7750 obs. of  11 variables:
 $ practice: chr  "A81007" "A81008" "A81009" "A81011" ...
 $ ccg     : chr  "NHS Hartlepool And Stockton-On-Tees CCG" "NHS South Tees CCG" "NHS South Tees CCG" "NHS Hartlepool And Stockton-On-Tees CCG" ...
 $ 0-4     : num  5.28 5.99 6.66 5.53 7.32 ...
 $ 5-14    : num  12.5 11 12.1 10.6 12 ...
 $ <18     : num  21.5 20.5 22.6 19.7 22.9 ...
 $ 65+     : num  18.6 16.6 14.7 18.6 14.3 ...
 $ 75+     : num  9.26 7.73 6.72 8.51 7.34 ...
 $ 85+     : num  2.71 2.06 1.82 1.92 1.79 ...
 $ imd     : num  31.7 51.9 35.5 34.8 49.7 ...
 $ pop     : int  9525 4088 9265 11285 4756 6077 3786 3021 9505 21147 ...
 $ eth     : num  0.974 0.956 0.87 0.977 0.91 ...

Explore the data

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These charts show the relationship between the demographic variables. We can see that there are strong correlations between 65+, 75+, and 85+ populations, and <18 and 5-14.

For the sake of parsimony, we will use 75+ and 5-14.

Cluster analysis

Number_clusters     Value_Index 
        15.0000          0.2028 

Colour dendrogram

Colour dendrogram

k-means analysis

luster size

  • Smallest cluster has 56 practices
  • Largest has 1079

Cluster characteristics

clust 0-4 5-14 65+ 75+ 85+ imd pop eth size
10 5.06 11.20 20.38 8.98 2.59 12.75 5512.78 0.94 1054
12 4.76 10.39 23.83 11.09 3.31 14.01 10943.64 0.96 741
4 5.32 10.17 19.12 8.62 2.41 28.75 4145.22 0.92 728
1 7.01 12.69 13.61 5.86 1.69 17.19 5540.70 0.87 719
15 6.00 11.22 18.13 8.22 2.33 27.92 10082.02 0.92 705
7 6.01 11.57 17.44 7.88 2.34 14.12 13979.04 0.91 631
2 3.93 9.08 28.24 13.37 4.04 16.50 4923.83 0.96 604
8 6.84 12.51 14.21 6.28 1.67 42.92 4903.61 0.87 587
11 7.27 13.62 9.42 4.33 1.10 32.08 5319.93 0.42 500
3 5.72 9.74 10.43 4.72 1.24 28.38 5257.22 0.54 469
5 9.70 15.12 8.34 3.48 0.95 36.96 4450.73 0.82 283
6 7.63 13.16 10.96 5.02 1.42 28.26 12837.59 0.65 269
14 9.48 18.47 6.60 3.13 0.77 43.68 5303.04 0.37 245
13 3.02 4.57 6.90 2.98 0.86 23.84 9058.90 0.73 159
9 5.19 9.91 16.29 7.41 2.16 19.53 28190.84 0.89 56

Plotting clusters

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