Majority Of Merchant Data Matches With Google Maps Locations Recipe
Make Majority Of Merchant Data Matches With Google Maps Locations Recipe in just 2h . Get the full recipe with step-by-step instructions at pekinthechef.com.
Was this page helpful?
Help improve this recipe for others.
Send this recipe to your inbox.
We'll email it straight to you - plus weekly cooking inspiration.
Ingredients
Some product links may be affiliates. If you buy through them, you're supporting the site and Pekin may earn a commission at no extra cost to you.
Main Ingredients
Optional Ingredients
Method
Preparation
- 1
Gather Data
Collect the merchant data file that contains the list of merchant locations and their details.
- 2
Obtain Google Maps API Key
Sign up for Google Cloud Platform and generate a Google Maps API key that will be used to access the location data.
- 3
Install Data Processing Software
Ensure that the data processing software is installed on your system. This could be software like Python, R, or any database management tool.
Data Processing
- 4
Load Merchant Data
Open the merchant data file in your data processing software and inspect the data for any inconsistencies or missing information.
- 5
Run Geocoding Process
Using the Google Maps API key, implement a geocoding process in your software to convert the merchant addresses into geographic coordinates (latitude and longitude).
- 6
Match Data
Compare the geographic coordinates obtained from the Google Maps API with the coordinates in your merchant data to identify matches.
Review and Finalization
- 7
Analyze Matches
Analyze the matched data to determine the percentage of merchant data that corresponds with Google Maps locations.
- 8
Prepare Final Report
Compile the results into a report outlining the findings and any discrepancies between the merchant data and Google Maps.