I did some of them. I'll try your suggestion.

Yes, this is the chart that I want. But, before this (and this is my problem), I need transform my JSON table and if I'm not wrong, using this (http://steema.com/entry/133/Introducing__Tee.Data_2C_TeeChart_27s_Javascript_data_pivot_library) So, In resume, I need transform the first table (see it in ...

I have a chart with 8 TeeLine Series, each TeeLine with near of 86400 values (temperature/second). But with this amount of data, the chart becomes very slow to response. Zoom is impossible with this amount of data.

So, I need some tips to improve the chart performance.

In the resultant pivot table, the value of these fields will be: ** values of dtregistro as "rows" ** values of vardesc as columns ** Value of varvalue as value. a example: Data/Hora | Descricao do teste 1 | Descricao do teste 2 | Descricao do teste 3 04/12/2014 14:30:53 | 0.54881 | 0.59284 | 0.7151...

I have the following JSON table: [{"varcode":1,"dtregistro":"2014-12-04 15:00:00","varvalue":"0.91590","valueinfo":null,"varpath":"Teste\/Teste 1","vardesc":"Descricao do teste 1","varprefix":"","varsufix":" \u00baC"}, {"varcode":2,"dtregistro":"2014-12-04 15:00:00","varvalue":"0.63449","valueinfo":...