I have large no. of data which have below columns. I want to convert these UTM values to latitude and longitude but I have done UTM zone data.
Cust id, UTM Easting,UTM Northing
001,383737.26,6675682.46
Related
I have data that has:
a result value
A lat & lng
a date
I have discretized the date to years which works fine. I have used the Geocoding add-on to extract the continent from the lat/lng coords. And now I want to get the average result value of the continent per year. I'm at the point where I have all the values available, but I can't figure out how to group the result (mean)by continent-year categories.
I have set up the following flow.
The table you see above comes from the red square
enter image description here
enter image description here
For example, I have some fields with 0 for latitude and longitude.
This happen because in the database, those columns are null (longitude and latitude is unknown).
How can I simply set the country name for latitude and longitude 0? (in this case, the blue point for latitude 0 and longitude 0 should be in the center of Brazil country, without any exact location).
Edit: the behavior for those columns with 0 for latitude and longitude should be the same when using the field location instead of latitude and longitude, like it:
You will need a table with countries and their center lat/long coordinates, and join in this table with your sample table to enrich your data where you now have nulls.
How can I create data type Latitude and Longitude in SSAS?
I want Latitude, Longitude in live connection power BI, but in live connection, I can't change varchar to geography (Latitude, Longitude)!
I want Latitude, Longitude in live connection power BI, but in live connection, I can't change varchar to geography (Latitude, Longitude)!
Is it possible to discretize selected column in weka ? I have 42 columns in my data set and I want to discretize (divide in intervals) only longitude and latitude but all columns are discretizing.
There is a property in Discretize (attributeIndices) that allows you to specify the attributes to apply the filter to:
Just enter the attributes here and you should be good to go.
Hope this helps!
How do you convert a mmddyy variable to a date9 variable? For example, suppose we have the following:
x = 05/10/2011
I want x to be of the form 10May2011. So I did the following:
xnew = put(x, date11.);
But for some reason there is an error (date11 is not a recognized format). Why? I am guessing you cannot convert from one date format to another date format? You have to first convert the format back to the sas internal value (number of days from January 1, 1960) and then convert it to date11?
SAS date and time variables are stored in SAS as numeric data. So all variables that can be formatted as dates are stored the same way...as a number.
In your example, in order to make X a date
x='05OCT2011'd;
then you can format it in any date format you want.
xnew = put(x, date11.);
If x did equal '05/10/2011', you can convert the character var to a numeric like this
xnew = input(x, mmddyy10.);
Also, date11. is a valid date format.