Unique ID: 2015065
| Division: | Deputy Director General |
|---|---|
| Issue Date: | February 13th 2019 |
| Last modified: | February 22nd 2019 |
Cost: FREE
Price information based on scanner data and website information
Using scanner data and web scraping for price information
Statistical Area
Project Sources
| Type Of Institution: | National statistical office |
|---|---|
| Big Data Source: | Web scraping data, Scanner data |
| Region: | Europe & Central Asia |
| Country Area: | Netherlands |
| Id Country Regional: | country |
Partnerships
| Partnership Comments: | None |
|---|
Accessing Data
| Data Access Rights: | Only for this project |
|---|
Data Coverage
| Data Coverage: | All available data |
|---|---|
| Coverage Geo Pop: | Whole country / low % of market |
| Cost Implication: | Free |
| Coverage Period: | Continuous |
Data Quality
| Quality Aspects Evaluated: | Completeness, Usability, Time Factors, Accessibility, Relevance, Validity, Coherence, including linkability to other sources |
|---|---|
| Validation Comments: | Price collection from websites was already done manually, so this is the quality reference for the use of web robots. |
| Quality Framework Comments: | The existing CPI quality framework applies. The price collection for the production of the CPI is based on modules which can be managed separately. Retail prices are collected manually in shops, from scanner data, and by using internet robots. |
| Data Quality Concerns Comments: | Changes in websites have to be monitored, of course. |
Methodology
| Methods Used: | Traditional statistical methods |
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Technologies
| Technologies Comments: | The usual toolset of Statistics Netherlands (SQL etc.) |
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Other
| Income Level: | High-income |
|---|---|
| Iso: | NL |
| Timeframe To Produce Indicator: | NA |
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