About munitech4u

munitech4u · ‎08-17-2016

I tried reducing the marker size, but I am not able to distinguish the 2 cases. How can I make the 2 cases visible and more bigger? I am fine, even if i don't include the map, just the scales of latitude and longitude For your questions: 1. I want to see the density of both the cases across the longitude and latitude. 2. About the 95% of the points have different coordinates. 5% might be same.

munitech4u · ‎08-17-2016

I tried the transparency option as well. But the graph looks really bad.

munitech4u · ‎08-16-2016

I have about 1 million observation, how can i make it more visible friendly?

munitech4u · ‎08-16-2016

Map may not be necessary, but will be great if, we can have it. Yes, they are in degrees as you specified

munitech4u · ‎08-16-2016

I have 3 columns in a dataset: Latitude Logitude Phone -89.2132 179.9323 A 34.1231 -85.123 B 23.45 -34.23 A ..... It is a customer level data, where phone category can be A or B, I want to plot these categories over the Latitude and Logitude data in SAS, where A and B can take 2 different colors.

munitech4u · ‎08-03-2016

I have a SAS dataset. that has a column that contains text data. There are instances where the field is empty. But if we use the indicator >>if var=" " then x1=1;else x1=0; Problem is, it is not capturing all the spaces. There are some spaces left, which still have value 0. I assume, these might be junk chars, which are not getting displayed. How can I deal with this situation? I have already tried compress, strip,trim etc. I just printed the hex values and it seems it has 2 cases '00'(NULL) and '20'(space) For space condition it works, but for null it fails. Is there a way to treat it, without coverting to HEX?

munitech4u · ‎07-15-2016

So variable is like this: var1 a b c d e f g And I want in output dataset: variables a,b,c,d,e,f,g and correponding dummy coded values as 1/0 wherever they are present/not present

munitech4u · ‎07-15-2016

I have a variable that has some, 1500 character categories, I want to create dummy variables for these categories. Is there any procedure I can use for the creating these variables. Manually it is quite a tiresome task.

munitech4u · ‎07-14-2016

here is the log: label_id,category 1, 2,game-type 3,game- themes 4,game-Style 5,game-time 6,game-things 7,game-Finding fault 8,game-stress reliever 9,game-pet NOTE: 10 records were read from the infile FOO. The minimum record length was 2. The maximum record length was 22. but the output dataset contains this: Var1 1 2 3 4 5

munitech4u · ‎07-14-2016

I am trying to import the csv data in zipped file using: filename foo ZIP '/applocation/kg/label_categories.csv.zip' member="label_categories.csv" ; proc import datafile=foo out=label dbms=csv replace; getnames=yes;run; But the dataset contains only 1 variable with 1 length. I know, I can read the data using: input statement. But that requires me to specify manually input for all variables, which can be tiresome a job while importing lot of files. How can I get all the data similar to proc import, without using the input statement?

munitech4u · ‎07-08-2016

I am attaching the settings and logs. Let me know, if you need to look into anything else.

munitech4u · ‎07-07-2016

But it assigns all classes to 1. and variable importance is empty. I expected GBM results to be better than a single decision tree node.

munitech4u · ‎07-06-2016

Here is the code I used: proc g3grid data=x out=x1;where cnt>100; grid months_since_last_had_video*tenure_by_account=event_rate/noscale spline ; run; proc g3d data=x ; plot months_since_last_had_video*tenure_by_account=event_rate; run; Now I want the scale to be remained original while splines are performed on data

munitech4u · ‎07-05-2016

I have plotted this months*tenure against the target event rate. Can neural network node in EM approximate such surface with sufficient hidden nodes?

munitech4u · ‎07-05-2016

I am trying a 3d plot using proc g3grid and proc g3d. But it doesn't seem to be giving the information the way i expected. The g3grid seems to be modified the original values(maybe standardize or something). How can i get the same graph using original values in axis? I tried using noscale option, but that seems to have no effect. Also the x axis values seem to be changing not horizontally but inside the graph(which should be for months). I want to similar scale as g3d procedure, but graph as smooth as splines.

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