Limit to the number of plots in a google map scatter chart

[#1]

Hi

I have followed through the Google Map tutorial and got it working nicely with my own data. The only trouble is not all locations are showing immediately. Is there a limit to the number of plots that a scatter chart displays? I have 709 items in my data, when there is no filter a lot of the plots do not show on the map but when I filter down these plots that weren't there before show up. Any ideas?

Many thanks for your help

[martin59]

Hi,

Are you sure you haven't overlayed plots when zoom is farther ?

[#3]

Good thinking but when the filter is applied the plots show up on areas of the map that were blank before

[martin59]

Control the "Max Number" option, it doesn't have to be ckecked

[#5]

Ah, I had not noticed that control, but unfortunately it wasn't checked anyway. Doesn't seem to make any difference if I have it checked or not...

[martin59]

Could you post a part of your application ?

[#7]

Hi Martin

Apologies for the delay in replying. I realise it has something to do with the expressions I am using. I have the longitude and latitude as dimensions and then in the expressions I have longitude, latitude and a third value to do with the cost of maintenance. When I remove this expression all the plots appear correctly but are the same size.

Am I right in thinking that a third expression controls the size of the plots? If some of these values are NULL (which they are) would that make the plot invisible?

I will play around with these expressions and if I can't get it to work I can post my app up. Many thanks for your kind help!

[#8]

I have it working now - the there was such a variation in the third expression I think the smaller values were too small to appear next to the larger ones. I changed it to a dynamic expression that set a minimum value but this made the application run very sloooowly. In the end I just removed the third expression so all the circles appeared the same size.

Cheers

[martin59]

Have you tried to change these values :