Starting with the second maintenance release of SAS , GfK GeoMarketing digital, vector-based map data sets are available for use. These map data sets are. Features: MAP= required argument referring to GfK map data. DATA= argument referring to response data. ID statement. BLOCK statement options. Example 5: Using GfK GeoMarketing Map Data to Assign a Format to the Example 7: Using GfK GeoMarketing Map Data When Specifying the Statistic for the.
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SAS/GRAPH(R) Reference, Third Edition
GfK in your country Contact Blog. Define the title and footnote for the map. Don’t fill this field!
SAS/GRAPH(R) 9.3: Reference, Third Edition
gck GfK’s Map of the Month for October illustrates the distribution of purchasing power for new automobiles in Germany. Produce the block map. Drawing on long-standing market research experience, we deliver data on purchasing power, socio-demographics, business potential, retail turnover, consumer typologies and more.
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The ID statement specifies the variable that is in both the map data set and the response data set and defines map areas.
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Geodata | GfK Global
GfK in your country Contact. This lets you plan reliably across multiple market areas and regional levels. You can further fine-tune your sales and marketing strategies by incorporating external data on your specific industry, product offering, and target group.
Also note that the ID variable was a numeric geographic locator code glc in the original sashelp. We also calculate data for your specific products and markets. It then calculates the appropriate response levels.
Our solutions include regional market analyses, target group localization, sales territory planning, digital maps such as purchasing power and regional market data as well as appraisals of real estate, locations and sales networks for the industry, retail and manufacturing sectors. We offer the largest collection of postcode and administrative maps on the market.
Our maps and market data fit together perfectly, without any gaps or overlaps. Our maps are up-to-date, error-free and digitized by our own team of in-house cartographers. Set the graphics environment. Understand how your data interrelates, and spot opportunities for optimization. Note that the ISO variable was numeric in the original sashelp.