Radar Chart

Hi, toyolexparvi ;

You could create a new table as follows:

radarChart1 = var _a=SUMMARIZE('Meta ISC',"kpi","ISC","Planned",SUM('Meta ISC'[meta_isc]),"Actual",AVERAGE('Detalhe de Vendas'[ISC]))
var _b=SUMMARIZE('Meta ISC',"kpi","ACESSORIOS","Planned",SUM('Meta AC'[meta_tktac]),"Actual",[tktm ac])
var _c=SUMMARIZE('Meta ISC',"kpi","FIN.EXTERNO","Planned",SUM('Meta Fin Ext'[meta_fext]),"Actual",[fext %])
var _d=SUMMARIZE('Meta ISC',"kpi","EMPLACAMENTO","Planned",SUM('Meta Emplacamento'[meta_emplac]),"Actual",[emplacamento %])
var _e=SUMMARIZE('Meta ISC',"kpi","SEGURO","Planned",SUM('Meta Seguro'[meta_seguro]),"Actual",[seguro %])
var _f=SUMMARIZE('Meta ISC',"kpi","CAPTACAO","Planned",SUM('Meta Captacao'[meta_capt]),"Actual",[captacao %])
var _g=SUMMARIZE('Meta ISC',"kpi","VOLUME","Planned",SUM('Meta Vendedores'[meta]),"Actual",[VENDAS])
var _h=SUMMARIZE('Meta ISC',"kpi","MG MEDIA","Planned",[margem x tkt_medio],"Actual",[MG MÉDIA])
return UNION(_a,_b,_c,_d,_e,_f,_g,_h)

The final output is shown below:(and as we can see, I used the formula in your blue box, but the numerical result is different from yours)

Then if we create a radar chart ,Because the difference between these numbers is too large (for example, from 0.085-14378), the display of the radar chart will not be obvious, as follows：

However, if there is no significant difference between our data, the radar chart will be more successful. For example, when we use some of the data, the effect of building a radar chart is as follows：

So, I think you can take my approach and modify the data a little bit to make the radar chart  more beautiful.

Best Regards,
Community Support Team_ Yalan Wu
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