The Account details panel displays information related to your ByteSync Credentials: email address, serial number and subscription information.
It also includes a chart showing the amount of data uploaded each month.

Clicking on the A.1 button will show or hide the Account details panel. This button is only visible when the client is authenticated to the ByteSync server.

General information

Part B.1 presents general information:

• The email address of theByteSync Credentials
• The Log out button (B.3) allows you to log out of the application and return to the Identification page.
• The Serial Number
• The name of the software
• The type of subscription
• The limit of Remote Synchronization. This limit is the maximum amount of data that can be uploaded each month with the current Serial Number. Only uploaded data is taken into account, downloaded data is not counted.

Uploaded data

The Uploaded data section (B.2) includes a chart that displays the volume of data uploaded for each month of the year. By default, the chart displays the data for the current year. When you move the mouse over the chart, a tooltip appears to give details about the period you are hovering over.

The buttons B.4 and B.5 allow you to display the data of the previous year and the next year, respectively.

The Previous period switch (B.6) allows you to display data from the previous year in addition to the current year. This data is displayed with an online chart.

The Monthly limit switch (B.7) displays the monthly Remote Synchronization limit associated with theByteSync ID. It appears as an orange dotted line in the chart.

The Progressive scale switch (B.8) is used to switch from the Regular Scale mode to the Progressive Scale mode.
In Regular Scale mode, the y-axis values progress with a regular deviation. This provides a true representation, but if there is too much variation between values, the smaller ones may not be visible.
In mode Progressive scalingmode, the y-axis values progress at an increasing rate. This results in a less faithful representation but gives more importance to the lowest values. They can then be visible even when their deviation from the highest values is very large.