Try exporting a DataTable online You can test inserting a DataTable to an empty file with the interactive example below. Just choose an output file format, click Run Example, and download the generated file. The example creates a DataTable , fills it with data, inserts it into an Excel file and saves The Excel file to a file format of your choice. NET code will be compiled and executed with only.
NET framework and the GemBox. Spreadsheet component. Since GemBox. Spreadsheet is completely written in C and uses caching techniques, it offers both speed and memory optimizations. Your users will not need to wait for their reports to be generated any more. With GemBox. You can try the performance yourself with the Performance example. The process is similar to exporting a DataTable to a sheet.
The only difference is that you need to iterate through every DataTable in a DataSet and for each DataTable you should first create an empty sheet, and after that you should insert the DataTable into the sheet. Try exporting DataSet online You can test inserting a DataSet to an empty file with the interactive example below. This page has Excel sample data that you can freely use for testing, Excel training and demos, and other educational purposes.
There is a table with office supply sales sample data, or download one of the sample data files in Excel format - property insurance data, food sales records, work orders, and other topics. The first set of sample data on this page is sales data for an imaginary office supply company, and each row represents one order.
Each row shows:. In addition to the data, this file includes the pivot tables that I showed in my blog post on hockey player data analysis. For example, one pivot table shows player counts, for each position, plus age, height and weight.
Get this data, with the data analysis, in Excel format, in the download section at the end of this page. After you copy the Office Supply Sales sample data from the table above, and paste it into Excel, you can format the data as a named Excel table. Anaconda manages the dependencies between libraries.
In this sense, Anaconda will handle the intricacies of rJava installation. First of all, you need to update conda and then install the library. You can copy and paste the next two lines of code in the terminal. Step 3 Finally, it is time to install xlsx. Once again, you can use conda to do it:. Exporting data to different software is as simple as importing them. First of all, import the library.
Last but not least, R is equipped with fantastic libraries to interact with the cloud computing services. Note : This part of the tutorial assumes you have an account with Google and Dropbox. You need to install the library googledrive to access the function allowing to interact with Google Drive. The library is not yet available at Anaconda. You can install it with the code below in the console.
For non-conda user, installing a library is easy, you can use the function install. It is worth to see it in action. Google successfully uploaded the file located locally on the Drive. Google assigned an ID to each file in the drive. Upload a file from Google Drive with the ID is convenient. If you know the file name, you can get its ID as follow:. Note : Depending on your internet connection and the size of your Drive, it takes times.
You stored the ID in the variable x. The file is stored in your working directory. Remember, you need to add the extenstion of the file to open it in R. You can create the full name with the function paste i.
R interacts with Dropbox via the rdrop2 library.
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