Franz Enzenhofer: Was it a G. Search Update?-Detailed SEO Impact Analysis

Example

Removing duplicates and setting 'Date' as the DataFrame index for clean time series analysis.

Scenario

A website owner uploads a spreadsheet of Google Search Console data, and the model prepares it for analysis by cleaning and structuring the data.

Example

Calculating correlation coefficients between Google updates and web traffic metrics.

Scenario

After identifying the time frame of relevant Google updates, the model analyzes their impact on the website's Clicks, Impressions, CTR, and Position.

Example

Creating separate, clear visual charts for each metric, annotated with Google Update information.

Scenario

For each web traffic metric, the model generates a visual chart that marks the start and duration of Google updates, including median trend lines to illustrate their impact.

Example

Applying logarithmic scales and reversing the Y-Axis for Position to improve chart readability.

Scenario

To enhance understanding, the model adjusts visual scales and orientations, making complex data more accessible to users.

Example

Using regression analysis and anomaly detection to assess the statistical significance of update impacts.

Scenario

The model offers a deep dive into each Google update's effect, determining if changes in web traffic metrics were statistically significant.