Can CSV store more than 1 million rows?
The maximum number of characters per cell in a csv file is 32,767. Per sheet, Excel has a capacity of 1,048,576 rows and 16,384 columns. Many more rows can be stored in CSV files. Data & Insights datasets, on the other hand, may contain parameters that surpass these restrictions.
In the case of CSV, one cell is a value that is separated by delimiters. Here you will encounter a limit of 1,048,576 rows. After you reach this limit you will be warned that you're not seeing all the data. Similar to Excel, in Numbers, you'll see a warning if your file exceeds 1,000,000 lines.
So, how do you open large CSV files in Excel? Essentially, there are two options: Split the CSV file into multiple smaller files that do fit within the 1,048,576 row limit; or, Find an Excel add-in that supports CSV files with a higher number of rows.
So no, CSVs are nowhere near a good option when your data is big — both time and dollar wise.
Well, an Excel spreadsheet can handle 1,048,576 rows and 16,384 columns at a time.
Excel data model can hold any amount of data
Because Data Model is held in your computer memory rather than spreadsheet cells, it doesn't have one million row limitation. You can store any volume of data in the model.
There is a solution in Excel. You can't open big files in a standard way, but you can create a connection to a CSV file. This works by loading data into Data Model, keeping a link to the original CSV file. This will allow you to load millions of rows.
probably less than 100kb. if lots of stuff a each cell, that will take up lots of space. Firstly it will be CSV format not XLSX, as XLSX supports only up to ~ 65000 rows only but CSV extension can be filled with ~1 million rows. the size I think will be ranging from 30~50 MB.
- Method #1: Using Free Editors. The best way to view extremely large text files is to use… a text editor. ...
- Method #2: Split Into Multiple Parts. ...
- Method #3: Import Into a Database. ...
- Method #4: Analyze With Python Libraries. ...
- Method #5: With Premium Tools.
- CSV allows to move most basic data only. ...
- There is no distinction between text and numeric values.
- No standard way to represent binary data.
- Problems with importing CSV into SQL (no distinction between NULL and quotes)
- Poor support of special characters.
- No standard way to represent control characters.
Is it better to use CSV or Excel?
While Excel (XLS and XLSX) file formats are better for storing more complex data, CSV files are supported by nearly all data upload interfaces. If you are planning to move your data between platforms, export and import it from one interface to another, you might be better off with the CSV file format.
Comparing CSV vs Xlsx, CSV files are faster and also consume less memory, whereas Excel consumes more memory while importing data. Comparing CSV vs Excel, CSV files can be opened with any text editor in windows, while Excel files can't be opened with text editors.

If you want to delete multiple rows or columns at the same time, you can use the Ctrl+Shift+- shortcut. Simply select the rows or columns you want to delete, and then press the Ctrl+Shift+- keys on your keyboard. All of the selected rows and columns will be deleted.
Answer: Excel spreadsheets only hold 1,048,576 rows by 16,384 columns. Anything more than that will not be loaded. If you run into this issue take the group you are working with and split it into 2 groups, and then try reporting on each group half separately.
When using Excel, it's important to note which file format you're using. The . xls file format has a limit of 65,536 rows in each sheet, while the . xlsx file format has a limit of 1,048,576 rows per sheet.
Excel cannot handle more than 1,048,576 rows. That is the maximum you can have in a worksheet.
- Select the heading of the row above where you want to insert additional rows. Tip: Select the same number of rows as you want to insert. ...
- Hold down CONTROL, click the selected rows, and then on the pop-up menu, click Insert. Tip: To insert rows that contain data, see Copy and paste specific cell contents.
Solution. To circumvent the million-row limitation, it's possible to load a dataset into Excel without dumping it onto a worksheet. Firstly, go to the Data tab and inside the Get & Transform Data section click on From Text/CSV. This opens File Explorer, allowing you to select the CSV file.
On the External Data tab, in the Export group, click Excel. In the Export - Excel Spreadsheet dialog box, review the suggested file name for the Excel workbook (Access uses the name of the source object). If you want, you can modify the file name. In the File Format box, select the file format that you want.
You may generate large csv file yourself manually - save about million of rows from excel as csv, open such csv in Notepad, copy and add or add manually another half millions of rows or so, close the file. Now try to open in Excel - it will show only first million.
Why is CSV file so large?
A CSV file will often be larger than the XLSX it was created from. This is because in XLSX is a actually a compressed (zipped) file - you can unzip it with a standard compression tool and check it out for yourself. You will see smaller XLSX files if there is a lot of repeat data.
- Large Text Reader. This app allows you to read large text files of up to 10GB. ...
- EditPad Lite. It's another program that you can use to view big text files. ...
- Universal Viewer. ...
- Glogg.
CSV files are easy to create, read, and write. Hence they give the business owners a convenient way of manipulating these files in many different ways. CSV files provide a convenient and effective way of importing and exporting business-specific data such as customer information to and from your database.
The data is trivial and generating them is much easier. Excel can manipulate the data by using features such as auto-formatting etc. CSV cannot manipulate the data and it stores the data as-is. CSV is safe and it clearly distinguishes the difference between the numeric values and text values.
If you close without saving from the prompt, opening it again will show that the CSV formatting is completely gone.