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< ? php
/*
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* @ package Include / help / es /
*/
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?>
< style type = " text/css " >
* {
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font - size : 1 em ;
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}
img . hlp_graphs {
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width : 80 % ;
max - width : 800 px ;
min - width : 400 px ;
margin : 15 px auto ;
display : block ;
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}
ul . clean {
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list - style - type : none ;
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}
b {
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font - size : 0.90 em ! important ;
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}
dl dt {
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margin - top : 1 em ;
font - weight : bold ;
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}
dl {
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margin - bottom : 2 em ;
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}
div . img_title {
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text - align : center ;
font - size : 0.8 em ;
font - style : italic ;
width : 100 % ;
margin - top : 4 em ;
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}
</ style >
< body class = " hlp_graphs " >
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< h1 > INTERPRETING GRAPHS IN < ? php echo get_product_name (); ?> </h1>
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< p > In < ? php echo get_product_name (); ?> , graphs represent the values a module has had during a given period.</p>
< p > Due to the large amount of data that < ? php echo get_product_name (); ?> stores, two different types of functionality are offered</p>
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< h2 > NORMAL GRAPHS </ h2 >
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< img class = " hlp_graphs " src = " <?php echo $config['homeurl'] ; ?>images/help/chart_normal_sample.png " alt = " regular chart sample " />
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< h4 > General characteristics </ h4 >
< p > These are graphs that represent the information stored by the module at a basic level .</ p >
< p > They allow us to see an approximation of the values in which our module oscillates .</ p >
< p > The module data are divided into < i > boxes </ i > in such a way that a sample of the module values is represented , < b > not all values are shown </ b >. This is complemented by dividing the view into three graphs , < b > Max </ b > ( maximum values ), < b > min </ b > ( minimum values ) and < b > avg </ b > ( average values ) </ p >
< ul class = " clean " >
< li >< b > Advantages </ b >: They are generated very quickly without consuming hardly any resources .</ li >
< li >< b > Disadvantages </ b >: The information provided is approximate . The status of the monitors they represent are calculated on an event - driven basis .</ li >
< h4 > Display options </ h4 >
< dl >
< dt > Refresh time </ dt >
< dd > Time the graph will take to be created again .</ dd >
< dt > Avg . Only </ dt >
< dd > Only the averages graph will be created .</ dd >
< dt > Starting date </ dt >
< dd > Date until which the graphic will be created .</ dd >
< dt > Startup time </ dt >
< dd > Hour minutes and seconds until the graphic is created .</ dd >
< dt > Zoom factor </ dt >
< dd > Graph viewfinder size , multiplicative .</ dd >
< dt > Time Range </ dt >
< dd > Sets the time period from which data will be collected .</ dd >
< dt > Show events </ dt >
< dd > Displays indicator points with event information at the top .</ dd >
< dt > Show alerts </ dt >
< dd > Shows indicator points with triggered alert information at the top .</ dd >
< dt > Show percentile </ dt >
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< dd > Adds a graph that indicates the percentile line ( configurable in general visual options of < ? php echo get_product_name (); ?> ).</dd>
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< dt > Time comparison ( superimposed ) </ dt >
< dd > Displays the same graphic overlay , but in the period before the selected one . For example , if we request a period of one week and activate this option , the week before the chosen one will also be shown superimposed .</ dd >
< dt > Time comparison ( independent ) </ dt >
< dd > Displays the same graph , but in the period before the selected one , in a separate area . For example , if we request a period of one week and activate this option , the week before the chosen one will also be shown .</ dd >
< dt > Display unknown graphic </ dt >
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< dd > It shows boxes in grey shading covering the periods in which < ? php echo get_product_name (); ?> cannot guarantee the module's status, either due to data loss, disconnection of a software agent, etc.</dd>
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< dt > Show Full Scale Graph ( TIP ) </ dt >
< dd > Switches the creation mode from " normal " to " TIP " . In this mode , the graphs will show real data rather than approximations , so the time it will take to generate them will be longer . More detailed information on this type of graphs can be found in the following section .</ dd >
</ dl >
< br />
< br />
< h2 > TIP GRAPS </ h2 >
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< img class = " hlp_graphs " src = " <?php echo $config['homeurl'] ; ?>images/help/chart_tip_sample.png " alt = " TIP chart sample " />
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< h4 > General characteristics </ h4 >
< p > These are graphs that represent < b > real data </ b >.</ p >
< p > They show us a true representation of the data reported by our module .</ p >
< p > As these are real data , it will not be necessary to supplement the information with extra graphs ( avg , min , max ) .</ p >
< p > The calculation of periods in unknown state is supported by events , such as normal graphs , but is complemented by extra detection if there is any .</ p >
< p > Examples of resolution offered by normal and TIP methods :</ p >
< div class = " img_title " > Example of normal graph in unknown interval </ div >
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< img class = " hlp_graphs " src = " <?php echo $config['homeurl'] ; ?>images/help/chart_normal_detail.png " alt = " TIP chart detail " />
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< div class = " img_title " > Example of TIP graph in unknown interval </ div >
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< img class = " hlp_graphs " src = " <?php echo $config['homeurl'] ; ?>images/help/chart_tip_detail.png " alt = " TIP chart detail " />
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< br />
< ul class = " clean " >
< li >< b > Advantages </ b >: The data represented are real data . This is the most realistic way to review module data .</ li >
< li >< b > Disadvantages </ b >: Processing is slower than in normal graphs . Depending on the time range and the volume of data to be displayed , your display may be less fluid .</ li >
</ ul >
</ body >
