Leveraging metadata, DDI + other standards to implement data as a service at Statistics Canada
North American DDI Conference
NADDI 2018
2018
2018
(36 of 54)
Variable Description
Name
thu_statcan
Label
Leveraging metadata, DDI + other standards to implement data as a service at Statistics Canada
Dataset
| Value | Label | Frequency | % of valid | % of all |
|---|---|---|---|---|
| NaN | 5 |
33.33 %
|
25.00 %
|
|
| 0 | Did Not Attend | 2 |
13.33 %
|
10.00 %
|
| 3 | Neutral | 1 |
6.67 %
|
5.00 %
|
| 4 | Somewhat Satisfied | 6 |
40.00 %
|
30.00 %
|
| 5 | Very Satisfied | 6 |
40.00 %
|
30.00 %
|
| Valid | Invalid | Min | Max | Mean | StdDev |
|---|---|---|---|---|---|
| 15 | 5 | 0 | 5 | 3.8 | 1.66 |
Representation
Type
Code List
Selection Style
SelectOne
Did Not Attend, Very Dissatisfied, Somewhat Dissatisfied Codes
Did Not AttendRole
input
Aggregation Method
Unspecified
Temporal
False
Geographic
False
Lineage
-
2018 -
thu_statcan
Leveraging metadata, DDI + other standards to implement data as a service at Statistics Canada