Augumented Review of the timeline organising web application: time.graphics
time.graphics (
http://time.graphics)
time.graphics is easily the most user-friendly interface with elaborate options to plot and organise timelines according to one's requirement. It has wide range of powerful tools to make the view interactive and accsessible.
Features:
• It has an infinite timeline with two modes: View Mode and Edit Mode.
• The view mode can be graphical timeline or tabular according to the users' preference.
• In the edit mode, the markers can be placed according to the day and date. It also provides special features like Today (auto-update).
• According to the user-requirement one can add media to the markers like text, images, videos (from youtube and vimeo), links and other files.
• The markers can be of various types such as Events, Time Period, Percentage, Statistics, All counties data, Api integration, etc.
• The markers of similar context can be grouped and assigned tags. In the view mode, exclusive events can be displayed when a particular tag is selected with which they are associated to.
• After plotting the markers, the user can export the data in various formats like JPG, PNG, PDF, Power Point, Excel, XML, TXT, JSON, etc.
• The finished data can be exported either to cloud services like Google and Dropbox or to the local storage in a compressed ZIP file.
**Pros:**
* Easy-to-Use and share
* Stays updated: The best part about the application is that it is constantly updated as per contemporary requirements. It not only provides the special option to plot the coronavirus trends and statistics but also lets the user to import the data from Google calendar, spreadsheets and analytics.
* Platform friendly: Supports the input data and export data with multiple web services.
* Free-to-use for a limited time and there are special plans for educational institutions and companies.
**Cons**
* The markers do not allow text formatting like bold, underline, bullets, etc
* No feature embedded to search the contents of the marker.
**Final Word**:
People dealing with elaborate data spanning over multiple periods of time should definitely try out time.graphics (
http://time.graphics).
