Energy Saver Incentive Statistics for Postcodes since 2009
dataset:
ENERGY_EC_POSTCODE
Energy Saver Incentive Statistics for Postcodes.
The data was primarily supplied by DPCD (Henry Otley) in order to connect with PARISH_POLYGON
EC_PC_ACC_LUT from energy_claim_postcode_acc - aggregate claim figures for each postcode
EC_PC_DETAILS_LUT from energy_claim_postcode_details - claim information since 2009
EC_PC_YRRNG_LUT from energy_claim_postcode_yr_ranges - for display categories
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Citation proposal Citation proposal
(2016) Energy Saver Incentive Statistics for Postcodes since 2009 Department of Jobs, Precincts and Regions https://uat-metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/bebcc5f8-1729-5c8b-a9df-b7f491e1dd64 |
- Description
- Temporal
- Spatial
- Maintenance
- Format
- Contacts
- Keywords
- Resource Constraints
- Lineage
- Metadata Constraints
- Quality
Description
- Title
- Energy Saver Incentive Statistics for Postcodes since 2009
- Alternate title
- ENERGY_EC_POSTCODE
- Resource Type
- Dataset
- Credit
- DPCD. Henry Otley
- Supplemental Information
- Related Documents: None
- Status
- Completed
Temporal
- Time period
- 2009-01-012013-01-01
Spatial
- Spatial representation type
- Text, table
- Description
- General - Victoria
N
S
E
W
Maintenance
- Maintenance and update frequency
- Quarterly
Format
- Title
- Excel and ArcSDE tables 16
Contacts
Point of contact
Department of Jobs, Precincts and Regions
-
Lane Rob Mr
(Manager, Geoscience Systems)
GPO Box 4509
Melbourne
Vic
3001
Australia
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Keywords
- Topic category
-
- Utilities communication
Resource Constraints
- Classification
- Unclassified
Lineage
- Statement
- Dataset Source: /arc/p_mp/import/energy_claims Dataset Originality: Derived
- Description
- run the python program create_energy_claim.py check the install ranges for each caetegory and update the yr_range excel file. Then rerun the import to cope with the changes
Metadata Constraints
- Classification
- Unclassified
Quality
Attribute Quality
- Comments
- Good
Positional Accuracy
- Comments
- 100%
Conceptual Consistency
- Comments
- Good
Missing Data
- Comments
- Good Completeness Verification: Metadata Custodian Review Frequency: 3 yearly Metadata Last Reviewed by Custodian: Never
Excess Data
Overviews
Provided by
Views Views
bebcc5f8-1729-5c8b-a9df-b7f491e1dd64
Access to the portal Access to the portal
Read here the full details and access to the data. Read here the full details and access to the data.
Associated resources
Not available