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I know this is an old question but for future reference.If you know that the files you want to join have a pattern like in the question here e.g. file1 file2 file3 ... fileNThen you can simply join them with this command
- Join the KPI1 Sheet: which contains the LocationNumber column and Date column and the respective KPI information. By doing this, I want the LocationControlSheet info to be replicated for each Dates in KPI1Sheet and add the KPI columns into the joined sheet
ah ok, the reason why i thought of using multiple join is because although i have only 3 files in this currently, the actual one has 7 files, so I wanted to see if there was a way to reduce the amount of steps
i know similar questions have been asked multiple times, but somehow I am stuck very near the solution. Doing some research did not bring me closer. It is possible that, as a beginner in R, i'm asking the wrong questions/searching the wrong keywords. In that case, you are welcome to help.
I have a folder containing multiple .csv files with ";" as delimiter. These files have two columns forming the id. All tables have a different size, e.g. the number of rows varies as does the number of columns.
Here is where I'm stuck. I think the problem occurs when the dataframes are compiled into a list. there it seems to me, that it is a necessity for the dataframes to be of the same extensions. In the examples I found on stack and elsewhere, the example data has always the same length.
I have four sets of data files in Excel (see attached for simplified version) and want to combine them into one file. I used Union to bring them together and then used the common field - Description to Summarize the data in order to get the following output. However, some data dropped from Union. What should be done differently to include all data in the below expected format and results? Thanks!
Thank you for the prompt help! The method 1 is close the results I am looking for, but R - Box 1 and R - Box 2 were not brought in (I wonder if they were dropped from Union and that was what happened to me) and the value in RA - Box has displayed twice for EEE and FFF. Because R - Box 1 and R - Box 2 were not brought in, it caused error to Summarize tool in method 2. Any way to resolve this?
This script will combine multiple txt or csv files into one file. The script asks for a target directory, opens the first file and then iteratively adds the subsequent files to the first using the Table Concatenate function. One new column is created in the final file: this column will contain the name of the file that each row came from. If all the the text files have the same (identical) column names, those columns will be stacked (concatenated) all in one column. Unique columns will also be transferred to the final file.
The script has several sections block commented out, these sections of the script could be used for combining multiple Excel files. When combining Excel files, there is an assumption that these .xls or .xlsx files will only have one worksheet.
I had an interesting question about this script. Someone had a pile of CSV files where the column names were on the second row, and to make matters worse, the column names were semicolon delimited while the text was comma delimited. One way to deal with this is to add Import Settings to the script. This is one of those things that I'm happy to have JMP write for me. I manually opened and imported the file (using File>Open>Open with Preview, then in the dialog set the columns to start on the second row, and added an "other" delimiter of ";". After importing the file I went to the source script and found the Import Settings argument.
To make the script open this files, I added an expression, importset=expr(import settings(...paste script here...)); up near the top of the script. (its an expression because its not useful to have the import settings evaluated until I need them later when I open the files.)
IMPORTANT NOTE: If you're going to download this second script with the import filter and expect it to work automagically on your unusually formatted CSV tables.. its just not going to work, you have to make you own import setting and substitute them into the settings that are here for and example.
I use the JMP 10.0.0 on OS X 10.10.2. There will be a window launched when I run the script for selecting the files. However, I can not select any .txt or .csv file in the launched window. I am not sure if the script needs further revision for JMP (OS X ver.). Could you help for solving this issue? Thank you.
On the MAC, the dialog window to select a directory or to select a file are identical. The scrip is looking for you to identify a directory containing csv and/or txt files. The script currently allows both csv and txt files in the list of files to concatenate. If you want it to be more restrictive, then just edit out the file type you would like excluded from this part of the script.
Thank you for this valuable script. I am using this script to add multiple .txt files. But it is running after copying the same script into new script. I want to ask that why it is not running when opening the same script in first attempt. Thank you for the answer in advance. This script is very helpful.
It is happening only in this script. It is showing "NItem()" blank error in log window after running the script. So i just copy the whole script and paste it in new script window, then it is running ok.
Nice script and works like a charm in JMP 12. Was wondering about a good way to begin reading the source data files from a specific row, truncate header info if you will. For instance, begin with row that starts with the word "CH" if all source files format will be the same?
Hi Byron, this script works great. I modified slightly to select a subset of the data from the files opened, add columns, change characters to numeric, etc. One question I had, is there a simple way to modify the script to specify the folder where the files are and not have a prompt pop up?
The same approach will work with "join". Just try substituting the concat argument with a join argument. (do the join manually, and then copy and the Source script in the resulting table for an example of what the join argument would look like
If I change the extensions of my files to .txt, it works. However I have thousands of files I want to combine and dozens are added daily. Is there a way to get this to work with files that have a .log extension?
I am new to JMP scripting. For some reason the import setting is not working for me when I combine multiple text files. I can see the concatenate files. In my case I have column name starts from 11 and data starts from 12. But the combine files starts from column 1 instead of starting from 11. Please advise what am I missing?
I'd like to combine all these files and ensure data from each column always ends up in the appropriate column in the final table. I also want to keep all data (don't delete column K, just leave all rows blank where column K did not exist). Any help would be hugely appreciated!
I read the documentation and have been using the REST API to create several tile packages (*.tpk files) from the World Topo basemap for a very long hiking trail (the red line in the diagram below). Each .tpk file looks good on its own, but they are for different sections of the trail. I think what I need to do next for my mobile application that I'll be working on is to get them all into a single .tpk file. How can I accomplish that? I tried the Import Tile Cache geoprocessing tool, but either that didn't work or I'm not understanding what it does. Also, I tried using the "AreaOfInterest" parameter documented in the REST API hoping that I could pass in the coordinates of a polygonal buffer (the olive green buffer around the red line in the image below) of the trail and I would get just those tiles (in light yellow) that intersect the buffer; unfortunately it exported all the tiles within the bounding box of the polygon (which is far far more tiles than I need.
In the original post, I suggested that the AreaOfInterest property was not working properly. It is working just fine. User Error! The following URL will export out a nice diagonal area in southern Canada.
The metadata injection step is pretty unusual. If you are injecting a step, like Text Output, that would like output field columns and other metadata sent in, you send multiple rows (one for each field in the output). The other inputs streaming in will be singular values into the destination step. Once populated enough to satisfy the injected ktrs' steps, PDI will run the injected transform. This is important because it will not automatically loop. You'll need something to loop this for you and send a complete set of step configuration into the injector.
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