I'm importning about 100 new contacts into my CRM. To do this, I created Excel spreadsheet with header names matching those set up in my CRM. When I attempted to import the spreadsheet, I keep getting an error messsage "Check your import file and make sure each column with data has a header". I've tried formatting the spreadsheet as a table with header, bolded the font, increased font size, to no avail.
I was having this exact problem and turns out for me, it had nothing to do with the Headers (that were already there). The problem was the file name - I had a plus-sign "+" in the file name and I think that is what Hubspot rejected. I renamed the file and it worked just fine. Hope this helps someone!
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Hi, just adding an update on this. Experience the same issue this week when importing a new list, I read above about copying the columns into a new spreadsheet and this actually worked for me. Just wanted to say that @TiphaineCuisset thanks for the heads up
To resolve the issue, select and copy all the columns with headers and values from your Excel sheet. Then, paste them into a new Excel file. Importing the data from the new file should now be error-free
The only two things that didn't populate are "Type of Contact" and "Vendor Type", both of which have checkboxes, and Type of Contact usually has multiple checkboxes. Unelss there is a magical way to update that info, I'm okay with it for now
If it is not populating, it is probably because the value you have put in the excel does not match exactly a possible value in your checkboxes/dropdown field property. If the system cannot find exact matching values, it won't import.
I am trying to see if there is a way to easily print each sheet in my excel workpaper to PDF (would be helpful if I could select which sheets too). To give more background, it's a workpaper that has several sheets for invoicing purposes, and I'd like to easily drop the file in and run a workflow that will print each invoice to PDF. However, I'm not too advanced in the reporting tools. Also, I'm not sure if it's possible to use one input tool for something like this, or if I would have to manually add in a input tool for each sheet/invoice. It'd also be extremely helpful if I could also use some sort of dynamic naming for each output based on an invoice # listed in each sheet if possible.
I keep my excel worksheets in "Page Layout" mode when I work, I find it best when I plan to print the document in the end. In the last 2 weeks, none of the documents I've printed are coming out the way they appear on the workbook.
@Sergei Baklan You legend! I have been having issues with printing to PDFs on two of nine PCs for months if not years. I was having to get other people in the office to print certain (not all) spreadsheets to PDF for me. This solved the issue for me. Thanks!
When I import it into Excel, I get data up to row 1,048,576, then re-import it in a new tab starting at row 1,048,577 in the data, but it only gives me one row, and I know for a fact that there should be more (not only because of the fact that "the person" said there are more than 2 million, but because of the information in the last few sets of rows)
With MS-Excel you can then create a data connection to this source (without actual loading the records in a worksheet) and create a connected pivot table. You then can have virtually unlimited number of lines in your table (depending on processor and memory: I have now 15 mln lines with 3 Gb Memory).
Additional advantage is that you can now create an aggregate view in MS-Access. In this way you can create overviews from hundreds of millions of lines and then view them in MS-Excel (beware of the 2Gb limitation of NTFS files in 32 bits OS).
Excel 2007+ is limited to somewhat over 1 million rows ( 2^20 to be precise), so it will never load your 2M line file. I think that the technique you refer to as splitting is the built-in thing Excel has, but afaik that only works for width problems, not for length problems.
First you want to change the file format from csv to txt. That is simple to do, just edit the file name and change csv to txt. (Windows will give you warning about possibly corrupting the data, but it is fine, just click ok). Then make a copy of the txt file so that now you have two files both with 2 millions rows of data. Then open up the first txt file and delete the second million rows and save the file. Then open the second txt file and delete the first million rows and save the file. Now change the two files back to csv the same way you changed them to txt originally.
I'm surprised no one mentioned Microsoft Query. You can simply request data from the large CSV file as you need it by querying only that which you need. (Querying is setup like how you filter a table in Excel)
If you have Matlab, you can open large CSV (or TXT) files via its import facility. The tool gives you various import format options including tables, column vectors, numeric matrix, etc. However, with Matlab being an interpreter package, it does take its own time to import such a large file and I was able to import one with more than 2 million rows in about 10 minutes.
The tool is accessible via Matlab's Home tab by clicking on the "Import Data" button. An example image of a large file upload is shown below:Once imported, the data appears on the right-hand-side Workspace, which can then be double-clicked in an Excel-like format and even be plotted in different formats.
I was able to edit a large 17GB csv file in Sublime Text without issue (line numbering makes it a lot easier to keep track of manual splitting), and then dump it into Excel in chunks smaller than 1,048,576 lines. Simple and quite quick - less faffy than researching into, installing and learning bespoke solutions. Quick and dirty, but it works.
Use MS Access. I have a file of 2,673,404 records. It will not open in notepad++ and excel will not load more than 1,048,576 records. It is tab delimited since I exported the data from a mysql database and I need it in csv format. So I imported it into Access. Change the file extension to .txt so MS Access will take you through the import wizard.
The best way to handle this (with ease and no additional software) is with Excel - but using Powerpivot (which has MSFT Power Query embedded). Simply create a new Power Pivot data model that attaches to your large csv or text file. You will then be able to import multi-million rows into memory using the embedded X-Velocity (in-memory compression) engine. The Excel sheet limit is not applicable - as the X-Velocity engine puts everything up in RAM in compressed form. I have loaded 15 million rows and filtered at will using this technique. Hope this helps someone... - Jaycee
I found this subject researching.There is a way to copy all this data to an Excel Datasheet.(I have this problem before with a 50 million line CSV file)If there is any format, additional code could be included.Try this.
One of the places I learn the most is a group chat I have with my friends Dror Poleg and Ben Rollert. Dror, who writes about the history and future of work, cities, and finance, and Ben, who is the founder and CEO of Composer, are two of the smartest people I know.
Second, Gates and Raikes decided that they needed to take advantage of the graphical interface, so they switched mid-project from building for the PC, which was operated via command line interface, to building exclusively for Mac.
Excel is declarative in that you define what you want by typing a formula, without having to worry about how to perform the step-by-step computations. I can calculate the Internal Rate of Return (IRR) on an investment without needing to know the formula, let alone how to program it. I just type =IRR(C4:G4) and voila!
By operating at a very high level of abstraction, an Excel user is spared the headache of dealing with a lot of minutiae and incidental detail that is intimidating and frankly uninteresting to most people. Instead, Microsoft assigns an army of well-compensated developers to worry about the details, and the user just has to pick the right function to use.
Excel leverages a mental model that has been deeply ingrained in our culture for decades: a two dimensional grid using A1 notation. By assigning rows with numbers and columns with letters, a user can identify a single cell in a large 2D grid without confusion or ambiguity. By sticking to the same conceptual model that has been in use since at least 1979, people can understand how Excel arranges data without learning anything new.
One of the most magical aspects of Excel is that it is reactive. When you change an input to a formula in Excel, any output that depends on that input is automatically updated. Because Excel has been with us for so long, we take this property for granted. But most conventional programming languages are not like this: when an input is changed, each step that depends on that input needs to be deliberately re-run for the output to reflect the change.
By being reactive, Excel allows for a kind of playful interactivity. You can play with inputs and toggles to a workbook, simulating different hypothetical scenarios. For the insatiability curious, it can be downright addictive. But more than anything, reactivity makes it easy to get very fast feedback, and the faster a system provides feedback, the easier it is to understand how that system works. Excel is designed to optimize the speed at which its users develop skill at operating it.
Another piece of Excel magic is the ability to inspect and manually update the entries of a database contained in a sheet. This is just not the norm with most databases, which typically require developer skills and permissions of a database administrator to update. 152ee80cbc
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