stufffert.blogg.se - Google maps api

#Google maps api how to
#Google maps api code

Change the code as per screenshot below.Now we need to turn the query to a function so that we can invoke it for all coordinates we have in our dataset. So far we loaded the geo-location information for just one coordinate. Click “Reverse Rows” to show the second row first As you see the second row contains the column names.So go to “transform” tab and click “Transpose”

We need to the columns as rows so we need to transpose the table.

Filter “types” column to show “Country”, “Postal Code” and “Steer Address”.

Click on expand complex column icon ( ) to expand the table then tick “formatted_address” and “types” columns then click OK.

Convert the list to table by clicking “To Table” button from “Transform” tab from the ribbon.

Stick with the default and click “Connect”.

Paste the API in the URL section then click OK.

The idea is to define a function in Power BI then pass latitude and longitude to the function to get Country, Postal Code and Street Address. Note: Do not forget to copy and paste your API key at the end of the API. If you copy and paste the above API in your web browser you can see its output which is a JSON providing detailed information about the location. So I use Reverse Geocoding (Address Lookup). In my sample I need to retrieve Country, Post Code and Street Address out of existing coordinates generated by my bike GPS computer. As you can see there are lots of useful APIs you can use to leverage your Power BI model. Now that we have an API key we can use lots of Google Geocoding APIs available here. Using Google Maps Geocoding APIs In Power BI We will use this key in the next sections of this article.

Click “Yes” then click “Agree and continue”.

This will navigate you to Google Developers Console.

Open your web browser and go to Google Maps Geocoding API.

To be able to start using the Google Maps Geocoding API you need to get an API key first.

#Google maps api how to

I assume you already have an existing Google account or you know how to create a new one, so I jump straight into the next step which is activating geocoding API. Find a desired API in Google Developers Guide.To be able to follow this post steps you need to: In this article I show you how to get all of these information out of Google Maps by passing existing coordinates to Google Maps geocoding API. Or you might want to use postal code in a slicer. This can be done from Query Editor in M language.īut, in some cases you need some more geo-information like Country, City, Post Code and Street Address in a table as well. You can also concatenate the latitude and longitude data and use it as Location in your Map visualisation. You can simply put latitude and longitude on a Map visualisation and you’re good to go. GPS tracking devices are creating lots of data including geographic coordinates which can be easily used in Power BI. How to import your CSV files into a Power BI model is out of scope of this article so I leave it to you for any further investigations. But, if you want to do some more specific data analytics like in which area of the city you created more power during your cycling activities then those websites might not give you what you want for free.įor instance, you can export your device data to CSV then import and append all CSV files into a Power BI model and create amazing analytical reports. I know you can load your GPS tracking data into athletic social networks to analyse your activities. The data could be generated by any sort of GPS tracking device like your Garmin cycling GPS computer, your Fitbit watch etc. from existing latitude and longitude values. The use case scenario could be getting address, postal code, etc. In this post I explain how to use Google Maps APIs to retrieve useful information out of Google Maps.