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  • Google Analytics Export API - nextPagePath data

    - by Btibert3
    I am probably missing something obvious, but I do not understand when I query: start.date = DATE_START, end.date = DATE_END, dimensions = c("ga:pagePath","ga:previousPagePath"), metrics = c("ga:pageviews"), filters = mypageofinterest, table.id = "ga:mytable", max.results=RESULTS my data return as expected, all of the previous pages including (entrance). However, when I modify the code to be nextPagePath start.date = DATE_START, end.date = DATE_END, dimensions = c("ga:pagePath","ga:nextPagePath"), metrics = c("ga:pageviews"), filters = mypageofinterest, table.id = "ga:mytable", max.results=RESULTS only one line of data are returned; the pagepath and nextpagepath are identical with itself. I replicated this result using the Query Explorer. What am I missing or doing wrong? I was expecting to see a large number of "next" pages, including (exit). Thanks in advance.

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  • Clarity around Advanced Segment defintion

    - by Btibert3
    I am hoping to get some clarity around an advanced segment I created. For context, our website spans multiple domains. For reasons I wont get into, I created an advanced segment that looks for pages containing my subdomain of interest (subdomain.site.com). I want to ensure that my interpretation of this advanced segment is accurate. Simply, it flags all visits to our entire domain that viewed at least one page on my subdomain of interest? If I am off, what does this advanced segment represent? Many thanks in advance!

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  • Connect R to Quickbooks

    - by Btibert3
    Has anyone connected the R package to QuickBooks? I know there is an ODBC driver than can be bought. Just wondering if anyone has already gone down this road. Any insight will be much appreciated! ~ Brock

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  • MySQL UTC Date format

    - by Btibert3
    Hi everyone, I am pulling data from Twitter's api and the return date is UTC in the following form: Sat Jan 24 22:14:29 +0000 2009 Can MySQL handle this format specifically or do I need to transform it? I am pulling the data using Python. Thanks, Brock

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  • Kohonen SOM Maps in R Tutorial

    - by Btibert3
    Hi Everyone, I am simply looking for a good tutorial that will walk me through how to create a SOM in R. I am reading Kohonen and Kaski's paper on using the maps to identify the structure of Welfare, and want to try the technique my self. I think many of the examples in R have a lot to be desired. I have looked on the web and didn't find anything that I thought made the process easy to understand. Any help you can provide will be greatly appreciated.

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  • Windows 7 Task Scheduler

    - by Btibert3
    Hi All, Very new to this, and I have no idea where to start. I want to schedule a python script using Task Scheduler in Windows 7. When I add a "New Action", I place the following command as the script/program : c:\python25\python.exe As the argument, I add the full path to the location of my python script path\script.py Here is my script: import datetime import csv import os now = datetime.datetime.now() print str(now) os.chdir('C:/Users/Brock/Desktop/') print os.getcwd() writer = csv.writer(open("test task.csv", "wb")) row = ('This is a test', str(now)) writer.writerow(row) I got an error saying the script could not run. Any help you can provide to get me up and running will be very much appreciated! Thanks, Brock

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  • Schedule Python Script - Windows 7

    - by Btibert3
    Hi Everyone, I am really new to Python, and programming in general, but I have a python script I would like to run at regular intervals. I am running windows 7. What is the best way to accomplish this? Easiest way? Any help you can provide will be very much appreciated! Brock

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  • Generate lags R

    - by Btibert3
    Hi All, I hope this is basic; just need a nudge in the right direction. I have read in a database table from MS Access into a data frame using RODBC. Here is a basic structure of what I read in: PRODID PROD Year Week QTY SALES INVOICE Here is the structure: str(data) 'data.frame': 8270 obs. of 7 variables: $ PRODID : int 20001 20001 20001 100001 100001 100001 100001 100001 100001 100001 ... $ PROD : Factor w/ 1239 levels "1% 20qt Box",..: 335 335 335 128 128 128 128 128 128 128 ... $ Year : int 2010 2010 2010 2009 2009 2009 2009 2009 2009 2010 ... $ Week : int 12 18 19 14 15 16 17 18 19 9 ... $ QTY : num 1 1 0 135 300 270 300 270 315 315 ... $ SALES : num 15.5 0 -13.9 243 540 ... $ INVOICES: num 1 1 2 5 11 11 10 11 11 12 ... Here are the top few rows: head(data, n=10) PRODID PROD Year Week QTY SALES INVOICES 1 20001 Dolie 12" 2010 12 1 15.46 1 2 20001 Dolie 12" 2010 18 1 0.00 1 3 20001 Dolie 12" 2010 19 0 -13.88 2 4 100001 Cage Free Eggs 2009 14 135 243.00 5 5 100001 Cage Free Eggs 2009 15 300 540.00 11 6 100001 Cage Free Eggs 2009 16 270 486.00 11 7 100001 Cage Free Eggs 2009 17 300 540.00 10 8 100001 Cage Free Eggs 2009 18 270 486.00 11 9 100001 Cage Free Eggs 2009 19 315 567.00 11 10 100001 Cage Free Eggs 2010 9 315 569.25 12 I simply want to generate lags for QTY, SALES, INVOICE for each product but I am not sure where to start. I know R is great with Time Series, but I am not sure where to start. I have two questions: 1- I have the raw invoice data but have aggregated it for reporting purposes. Would it be easier if I didn't aggregate the data? 2- Regardless of aggregation or not, what functions will I need to loop over each product and generate the lags as I need them? In short, I want to loop over a set of records, calculate lags for a product (if possible), append the lags (as they apply) to the current record for each product, and write the results back to a table in my database for my reporting software to use. Any help you can provide will be greatly appreciated! Many thanks in advance, Brock

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  • Help Window using StatET in Eclipse

    - by Btibert3
    Hi All, I have been getting into R recently and have been using the StatET plugin for Eclipse. When I search for help, it prints the 'contents' of the help to the console. I am hoping to have the help open up in a new window, similar to what happens when in R itself. I am hoping this is just a setting. Any help will be greatly appreciated! Brock

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  • Finding the Column Index for a Specific Value

    - by Btibert3
    Hi All, I am having a brain cramp. Below is a toy dataset: df <- data.frame( id = 1:6, v1 = c("a", "a", "c", NA, "g", "h"), v2 = c("z", "y", "a", NA, "a", "g"), stringsAsFactors=F) I have a specific value that I want to find across a set of defined columns and I want to identify the position it is located in. The fields I am searching are characters and the trick is that the value I am looking for might not exist. In addition, null strings are also present in the dataset. Assuming I knew how to do this, the variable position indicates the values I would like returned. > df id v1 v2 position 1 1 a z 1 2 2 a y 1 3 3 c a 2 4 4 <NA> <NA> 99 5 5 g a 2 6 6 h g 99 The general rule is that I want to find the position of value "a", and if it is not located or if v1 is missing, then I want 99 returned. In this instance, I am searching across v1 and v2, but in reality, I have 10 different variables. It is also worth noting that the value I am searching for can only exist once across the 10 variables. What is the best way to generate this recode? Many thanks in advance.

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  • Parse JSON with R

    - by Btibert3
    I am fairly new to R, but the more use it, the more I see how powerful it really is over SAS or SPSS. Just one of the major benefits, as I see them, is the ability to get and analyze data from the web. I imagine this is possible (and maybe even straightforward), but I am looking to parse JSON data that is publicly available on the web. I am not programmer by any stretch, so any help and instruction you can provide will be greatly appreciated. Even if you point me to a basic working example, I probably can work through it.

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  • Gettingn Started with Facebook API

    - by Btibert3
    I have a friend that owns a small business and has a Page on Facebook. I want to help her manage it from a marketing perspective, and figure that it may be best to do so through their API. I have skimmed their API documentation, and have a basic working knowledge of Python. What I can't figure out is if I can access their page's data with Python and grab the data on wall posts, who liked posts, etc. Is this possible? I can't find a decent tutorial for someone who is new to programming. To provide context, I have been scraping the Twitter Search API for some time now and I am hoping there is something similar (request certain data elements, and have it returned as structured data I can analyze). I find their API extremely straight forward, and for Facebook, I don't know where to begin. I don't want to create an application, I simply want to access the data that is related to my friend's page. I am hoping to find some decent tutorials and help on what I will need to get started. Any help you can provide will be greatly appreciated.

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  • Drop Columns R Data frame

    - by Btibert3
    I have a number of columns that I would like to drop from a data frame. I know that we can drop them using something like: df$x <- NULL but I was hoping to do this with less commands. Also, I know that I could use this: df[ -c(1,3:6, 12) ] but I am concerned that the relative position of my variables may change. Given how powerful R is, I figured I would ask to see if there is another way beyond dropping each column 1 by 1. Thanks in advance.

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