Analytics

python data analysis concept

Python for Marketers: Using starts-with() and contains() in Selenium web scraper

What this is for: Isolating elements you want to scrape with Selenium Requirements: Python Anaconda distribution, Basic knowledge of HTML structure and Chrome Inspector tool Concepts covered: Selenium, XPath Occasionally when you’re testing or scraping a web page with Selenium, you may need to select an element or group of elements where you may only […]

Read More
python data analysis concept

Python for Marketers: Measuring click through rates by search position

What this is for: Analyzing and visualizing CTR and search position for organic search terms Requirements: Google Analytics data connected to Google Search Console, Python Anaconda Distribution Concepts covered: Simple data cleaning, Pandas dataframe, Matplotlib, search engine result position, click through rates Complete python file available for download  We all know search rankings matter. Users […]

Read More
python data analysis concept

Python for Marketers: Do reviews impact click through rate?

What this is for: Exploring correlations between multiple variables Requirements: Python Anaconda distribution, Google My Business or comparable data with multiple variables you want to test, Basic understanding of Pandas dataframe & statistics Concepts covered: Creating a correlation matrix, basic dataframe calculations, scatter plots, exporting charts as PNG Download the entire Python file I’ve always […]

Read More
python data analysis concept

Python for Marketers: Trend data from Google Analytics

What this is for: Identifying basic data trends, Creating future goals based on trends Requirements: Python Anaconda distribution, Google Analytics or comparable data, Basic understanding of Pandas dataframes and Matplotlib Concepts covered: Basic cleaning of data, linear regression, Scatter plot Complete Python file available for download One of the most basic forms of data analysis […]

Read More