Differences

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--- research:test_charts [2016/05/24 04:40] – schuemie
+++ research:test_charts [2016/05/26 07:57] (current) – schuemie
@@ Line 1: / Line 1: @@
 ===== WNHR =====
-=== Overview ===
+==== Overview ====
 ^Name              |Westeros National Health Registry (WNHR)  |
 ^Description       |The WNHR is a national registry in Westeros. Information from hospitals, pharmacies, and GPs is linked using national person identifiers. This database is a unique source of information on dragon-related injuries |
+^Data type         |National registry                         |
+^Country           |Westeros                                  |
 ^E-mail            |[email protected]                              |
 ^CDM version       |5.0                                       |
@@ Line 10: / Line 12: @@
 ^Last date of data capture |2015-12-31                        |
-=== Population ===
+==== Population ====
 ^Population size          | 8.2 mln                           |
@@ Line 17: / Line 19: @@
 == Age at first observation ==
-Percent of population
-<gchart 650x120 line #0000ff #ffffff left>
+<c3>
--4     = 5
+    data: {
--9     = 2
+        columns: [
--14   = 3
+            ['Percent of population', 2, 3, 5,8,5,7,3,8,6,9,11,14,11,10,8,9,4,3]
--19   = 4
+        ],
--24   = 5
+        type : 'bar',
--29   = 6
+    },
--34   = 5
+    axis: {
--39   = 2
+        x: {
--44   = 4
+            type: 'category',
--49   = 7
+            categories: ['0-4', '5-9', '10-14', '15-19', '20-24', '25-29', '30-34', '35-39', '40-44', '45-49', '50-54', '55-59', '60-64', '65-69', '70-74', '75-79', '80-84', '85-89']
--54   = 8
+        }
--59   = 7
+    }
--64   = 6
+</c3>
--69   = 5
--74   = 6
--79   = 4
--84   = 3
--89   = 2
-</gchart>
 == Cumulative observation ==
-(Cumulative) percent of population
-<gchart 650x120 line #0000ff #ffffff left>
+<c3>
-> 1 year  = 80
+    data: {
-> 2 years = 70
+        columns: [
-> 3 years = 40
+            ['Cumulative percent of population', 80, 70, 40, 20, 5]
-> 4 years = 20
+        ],
-> 5 years = 10
+        type : 'line',
-> 6 years = 2
+    },
-</gchart>
+    axis: {
+        x: {
+            type: 'category',
+            categories: ['> 1 year', '>2 years', '> 3 years', '> 4 years', '> 5 years']
+        },
+        y: {
+            min: 0,
+            padding: {bottom: 0}
+        }
+    }
+</c3>
 == People with observation by year ==
-Percent of people with at least one day of observation
-<gchart 650x120 line #0000ff #ffffff left>
-= 10
-= 15
-= 21
-= 30
-= 26
-= 29
-= 31
-= 35
-= 33
-= 36
-= 37
-</gchart>
+<c3>
+    data: {
+        columns: [
+            ['Percent of people with at least one day of observation', 10, 15, 30 ,45, 67, 56, 70]
+        ],
+        type : 'line',
+    },
+    axis: {
+        x: {
+            type: 'category',
+            categories: ['2009', '2010', '2011', '2012', '2013', '2014', '2015']
+        },
+        y: {
+            min: 0,
+            padding: {bottom: 0}
+        }
+    }
+</c3>
+==== Data density ====
+== Average number of records per person per domain per year ==
+<c3>
+    data: {
+        columns: [
+            ['Drug exposure', 5, 7, 13, 20, 21, 20, 23],
+            ['Device exposure', 0, 0, 1, 1, 0, 0, 0],
+            ['Condition occurrence', 3, 4, 7, 11, 9, 13, 14],
+            ['Drug era', 4, 5, 11, 14, 18, 17, 18],
+            ['Condition era', 3, 3, 5, 8, 7, 11, 12],
+            ['Procedure', 2, 3, 4, 5, 4, 5, 6],
+            ['Visit', 5, 5, 6, 7, 6, 8, 11],
+            ['Death', 0, 1, 1, 2, 1, 3, 2],
+            ['Measurement', 5, 6, 5, 7, 0, 9, 10],
+            ['Observation', 5, 4, 5, 6, 5, 7, 9],
+        ],
+        type : 'line',
+    },
+    axis: {
+        x: {
+            type: 'category',
+            categories: ['2009', '2010', '2011', '2012', '2013', '2014', '2015']
+        },
+        y: {
+            min: 0,
+            padding: {bottom: 0}
+        }
+    }
+</c3>
+== Average number of records per person per domain per setting ==
+<c3>
+    data: {
+        columns: [
+            ['Drug exposure', 5, 7, 13, 20],
+            ['Device exposure', 0, 0, 0, 1],
+            ['Condition occurrence', 3, 4, 7, 11],
+            ['Drug era', 4, 5, 11, 14],
+            ['Condition era', 3, 3, 5, 8],
+            ['Procedure', 2, 3, 4, 5],
+            ['Visit', 5, 5, 6, 7],
+            ['Death', 0, 1, 1, 2,],
+            ['Measurement', 5, 6, 5, 7],
+            ['Observation', 5, 4, 5, 6],
+        ],
+        type : 'bar',
+        groups: [
+            ['Drug exposure', 'Device exposure', 'Condition occurrence', 'Drug era', 'Condition era', 'Procedure', 'Visit', 'Death', 'Measurement', 'Observation']
+        ]
+    },
+    axis: {
+        x: {
+            type: 'category',
+            categories: ['Inpatient', 'Outpatient', 'ER', 'Unknown']
+        }
+    }
+</c3>
+== Percentage of records with cost information per domain ==
+<c3>
+    data: {
+        columns: [
+            ['% with cost info', 0, 90, 80, 10],
+            ['% without cost info', 100, 10, 20, 90],
+        ],
+        type : 'bar',
+        groups: [
+            ['% with cost info', '% without cost info']
+        ],
+        colors: {
+            '% without cost info': '#dddddd'
+        },
+    },
+    axis: {
+        rotated: true,
+        x: {
+            type: 'category',
+            categories: ['Visit', 'Procedure', 'Drug', 'Device']
+        }
+    }
+</c3>