Data Visualization Tools Questions & Answers

In data visualization, the end user phase depends on the previous stages’ completion successfully which includes analysis exploration, presentation and synthesis. Each of the stages needs a different strategy depending on the data relationship, audience and the need for engagement.

Software that can scan charts and convert them into excel includes Wondershare PDFelement, OpenShot, Shotcut, Lightworks, Camtasia, iMovie, etc.

To set up analytics for subfolders in GA4 go to page path dimension search field. Then in the search bar type in the folder name. This will show you quick results on default reports.

The most commonly viewed webpages leading to conversion can be tracked through Google Analytics. Go to Overview, then under overview select navigate to Conversions Goals. In the drop-down list select a goal to see your total number of conversions. This will let you view the number of conversions for the landing page and where the visitors originated.

A new GA4 property will automatically be created for you, and your Universal Analytics configurations will be copied to the new GA4 property, unless you opt out.

To do this, you should make a custom dimension named Page Path and then seize the document.location.pathname in the GA4 tag. This will be applicable for all events.

Google tags which support Consent Mode accordingly adjust their behavior so that their status in ad_storage and analytics_storage.

Stacked bar chart is the best method of data representation when data is of differing nominal values and needs to represent quantitative data on different axes.

A stacked bar chart is a visual representation of data that displays multiple variables for each category. The chart is divided into stacked rectangles that correspond to the different variables, and the height of each rectangle represents the total value for that category.

The correct way to import the Matplotlib library is by using import matplotlib.pyplot as plt command.

This command imports the pyplot module from the Matplotlib library and assigns it the alias plt. The pyplot module contains a collection of functions that are used to create a variety of charts and graphs.

Google Cloud AI, TensorFlow, Tableau, KNIME, and H2O.ai are some of the best AI data visualization tools.