#Features to webmap how to
#Features to webmap install
#Features to webmap update
#Features to webmap code

You can disable this and customize everything as much as you want. Think of this as a mini version of Google Tag Manager.

#Features to webmap install

By default when you create and install the new property, without any customization it will track outbound link clicks, downloads, video interactions, scrolls, and more. App + Web wants to help solve this by introducing Enhanced Measurement. Since 2005, one of the biggest challenges with Google Analytics is getting users to track more than just pageviews. You can drill-into any interaction to see additional details, such as what user properties and parameters are associated with that interaction. We can now easily filter by user properties (think custom dimensions), launch user snapshots, and get more granular insights into what is happening right now.Īpp + Web has new user snapshot reports, that allow you to see random anonymized users in order to understand what is happening on your site and apps in real-time with the new stream views. This gives us way more flexibility than the current real-time reports. Here are all of the great new features! New Real-Time ReportsĪpp + Web brings over the real-time reports from Google Analytics for Firebase. This post is going to focus on brand new features we have in App + Web, that have never existed in Google Analytics for websites before. This release of App + Web is bringing over the Firebase data model from app to web, so App + Web. Google is providing us a platform that is built for the future and the needs of future marketers.įor those of you who have used Firebase Analytics now known as Google Analytics for Firebase, you may see a lot of familiar things. Everything about App + Web is new, it has a brand new data model and the interface, reports, and capabilities have been rebuilt from the ground up. In short, this is a complete rewrite of Google Analytics. This is the first time the core Google Analytics platform itself has completely changed.

#Features to webmap update

This update is what Google Analytics has named App + Web, which is a brand new type of analytics property. It can be hard enough to manage one analytics platform, managing two completely different ones adds a lot of complication. Both Firebase and Google Analytics also have unique features that only exist in one or the other, but not both. Having multiple platforms has made it challenging for companies that have both mobile apps and websites to have holistic measurement across platforms. They have Google Analytics, which is primarily focused on website analytics as well as Google Analytics for Firebase (AKA Firebase Analytics), which is primarily focused on mobile app analytics.

#Features to webmap code

That means the core of the Google Analytics platform even today still works with code that is over 14 years old.Īlso important is that for the past few years, Google has actually had multiple analytics platforms. You may be surprised to know that you can still use the original urchin.js analytics tracking code from 2005 and everything still works. Since then, we have had countless new features, redesigns, and capabilities added on, but the core of the platform has always stayed the same. Google acquired Urchin Analytics in 2005 and later that year released a new version where they moved from a server-side/log collection model to the client-side/JavaScript model under the new Google Analytics name. This is way bigger than the introduction of Universal Analytics, the addition of Multi-Channel Funnels, or even the addition of Enhanced E-Commerce. Shape<-readOGR('places.Google just released the biggest update to Google Analytics ever! This is different than any other previous release or update. Now let’s have look at the Shapefile itself which will be exported: ogrListLayers('places.shp') Library('rgdal') #enable it for your workflow Install.packages('sp') #will be needed to load rgdal Setwd('~/r_pie')# set the working directory with your files inside: Therefore we are using the gdal bindings to R: To enable R reading shapefiles we will need to load additional libraries into R. It has a great GUI and it’s platform independent. Especially if you’re new to R I highly recommend RStudio. Cool, huh?įor this you will need R installed.

#Features to webmap how to

Let me show you, how to use the data in each feature to create a custom icon like a piechart marker using R.

In leaflet you can define different icons according to the attributes of your data by defining the icon url in an attribute. When it comes to webmapping there are thousands of possible markers you can choose from but when it comes to markers depending on the data, which is inside the shapefile, possibilities are more limited.