Post Popularity Chart Widget

Post Popularity Chart Widget Install Statistics

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Try plugin: Post Popularity Chart Widget

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Takes ~10 seconds to install.

About Post Popularity Chart Widget

Post Popularity Chart Widget, by which you display a graph with statistics of visits of any article on your site.

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updated: 9 years ago
since: 9 years ago
author: Piotr Pesta

Description

Post Popularity Chart Widget, by which you display a graph with statistics of visits of any article on your site. Widget on an ongoing basis collects data on visits selected by you posts and displays them in a clear and legible graphic chart. Widget is very simple to configure and accompanying documentation makes it even easier.

Appearance and operation of the widget can be freely modified, and this is thanks to the possibility of changing virtually all the settings. What can be changed?

Features

  • Responsive widget (dynamically adjust the page dimensions and resolution of the device)
  • Uses Google Charts API
  • Very easy to use – just install, put anywhere, set your preferred options and use anytime
  • You can change :
  • titles of individual axes
  • the color of chart and its background
  • range of days which is to include
  • exclusion of specific pages and categories
  • change the chart type (at the moment there are 3 types)

It should be noted that the widget may not work with plugs serving to store cached page, such as. W3.

Widget can be freely configured by using the available options. Each option has an extensive descriptions, so nobody should have no problem to understand what it does. In the settings menu you can change (in order):

  • Title
  • Number of days to include statistics
  • A list of ID numbers of excluded articles (chart there will not be displayed)
  • A list of ID numbers of excluded categories
  • Type of chart
  • Description(title) X-axis and Y
  • The background color and the color of the graph line

The widget automatically deletes the data older than 30 days, so there is no problem with excessive cluttering of the database.

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