Even today, many DSLR and mirrorless cameras do not directly capture and store the GPS coordinates of a photo’s location in its image file. However, most, if not all, contemporary smartphones capture GPS coordinates.

In the example shown here, the Nikon D750 did not capture GPS coordinates. However, the Nikon Z50 stored GPS coordinates only when paired, in the field, with Nikon’s SnapBridge app installed on the iPhone and when the iPhone had acquired a GPS signal. On the other hand, the iPhone 12 captured the GPS coordinates whenever it had received a GPS signal.

To analyze camera usage and photo locations, I connected Tableau Public to the photo_exif.csv file that the Python program created. Then, I built a visualization dashboard that contains two worksheets: one that tallied camera use by month, and another that showed, on a map, where I took the photos.

Tableau is a leading data visualization and business intelligence application. Its free version, Tableau Public, contains many features of the commercial software package with at least two significant limitations:

  1. Tableau Public can connect to a limited number of data types. For example, while it can connect to Excel and text files, it cannot link directly to a relational database as the commercial product can.
  2. Tableau Public saves projects only to the Tableau Public server for the whole world to see. So, if your Tableau visualizations display confidential data or don’t want to share the data with others, Tableau Public is not a good fit. Instead, you may wish to choose another visualization product, such as the commercial version of Tableau or Microsoft Power BI.

Installing Tableau Public

To install the Tableau Public desktop application on a Windows or Mac computer, navigate to https://public.tableau.com. Then, enter your email address, click on [DOWNLOAD THE APP], and follow the installation prompts.

Continue reading: https://towardsdatascience.com/analyze-and-map-photo-locations-with-python-and-tableau-7b2a4af971eb?source=rss—-7f60cf5620c9—4

Source: towardsdatascience.com