When I created my first bot with Selenium library – I could not believe how easy and intuitively Selenium is. It’s like writing a scenario for a movie – You just describing step by step what should be going on. In my particular case – Selenium helped me to automate some reporting of some advertising Read more about Create your own bot using Selenium WebDriver (python)[…]
If You ever wanted to create a dashboard with Facebook Ads data – You probably had an issue with data connectors. The most popular like “Supermetrics” – costs money, but You can try to create your own solution with a very little costs. There is a scheme of my solution: As you can see on Read more about How to automate Facebook Ads reporting in Google Data Studio with Python and FB Marketing API[…]
“Markov Chain Attribution” is one of the most popular data driven attribution models. The most important concept behind this model is removal effect. In this article I`ll try to explain the math behind removal effect in a simple way without any formulas. As an example we will take a very simple use case – four Read more about Markov Chain Attribution – simple explanation of Removal Effect[…]
Working with Pandas dataframes It`s often needed to reshape the data, in order to prepare it for further analysis, visualization or library that requires particular data form. I`ve decided to share with you some functions that I used a lot working with customer journey paths, exported from Google Analytics. For experienced data scientist that could Read more about 3 Helpful Functions for Data Manipulation (python)[…]
Google BigQuery is a great big-data tool, which let you to store a huge amount of data in cloud, and manipulate it with SQL queries. But there are situations, when you want to get that data to your python environment for more advanced purposes like machine learning, which is possible thanks to numerous python libraries. Read more about Google BigQuery API request (python)[…]
Google Analytics Reporting Api gives you a lot of possibilities like downloading your data without sampling, exporting it to databases or just ability to work with raw data (for example in Jupyter Notebooks). The easiest way I`ve found to make a API request to Google Analytics: 1. Create a Google Cloud Platform project and enable Read more about Google Analytics API request (python)[…]
Parallel coordinates were invented in far 1885 by French engineer and mathematician Philbert Maurice d’Ocagne. When I discovered this way of visualization – I was really impressed how it allows to visualize such a complicated thing as multidimensional data in a simple and intuitive way. This is how I visualized few dimensions of Mobile App Read more about Parallel Coordinates for Multidimensional Data Visualization[…]
CASE statements let you to create new dimensions in Google Data Studio based on existing ones. Syntax of CASE statement reminds SQL a lot: To create a new calculated field – open your Data Studio report, and click “Create new field”: Give your new dimension a name, write the CASE statement in “Formuła” field and Read more about CASE statements in Google Data Studio[…]
Google Spreadsheet formulas is a powerful tool which can make your life much more easier if you are working with data a lot. There are a lot of interesting extensions that can be very useful for a online marketeer, like Google Ads extension or Google Analytics extension for Google Spreadsheets, but output data which you`ll Read more about 5 Google Spreadsheet formulas which every web-analyst should know[…]
Sometimes, while configuring tags in Google Tag Manager, we want to know if the user visiting our site for the first time or not. Variable like that can be very useful if we want to fire some of our tags only for new or returning users, or assign different conversion value of the same conversion Read more about New vs Returning Client-ID variable in Google Tag Manager[…]