download data files to excel Export data to Excel. Using the Export Wizard, you can export data from an Access database to in a file format that can be read by Excel. This article shows you how to prepare and export your data to Excel, and also gives you some troubleshooting tips for common problems that might occur. In this article. Exporting data to Excel: the basics. When you export data to Excel, Access creates a copy of the selected data, and then stores the copied data in a file that can be opened in Excel. If you copy data from Access to Excel frequently, you can save the details of an export operation for future use, and even schedule the export operation to run automatically at set intervals. Common scenarios for exporting data to Excel. Your department or workgroup uses both Access and Excel to work with data. You store the data in Access databases, but you use Excel to analyze the data and to distribute the results of your analysis. Your team currently exports data to Excel as and when they have to, but you want to make this process more efficient. You are a long-time user of Access, but your manager prefers to work with data in Excel. At regular intervals, you do the work of copying the data into Excel, but you want to automate this process to save yourself time. About exporting data to Excel. Access does not include a “Save As” command for the Excel format. To copy data to Excel, you must use the Export feature described in this article, or you can copy Access data to the clipboard and then paste it into an Excel spreadsheet. You can export a table, query, form, or report. You can also export selected records in a multiple-record view, such as a datasheet. Microsoft Excel includes a command to import data from an Access database. You can use that command instead of the export command in Access; however, the Excel import command only allows you to import tables or queries. For more information, see the Excel Help article Connect to (import) external data. You cannot export macros or modules to Excel. When you export a form, report, or datasheet that contains subforms, subreports, or subdatasheets, only the main form, report, or datasheet is exported. You must repeat the export operation for each subform, subreport, and subdatasheet that you want to export to Excel. You can only export one database object in a single export operation. However, you can merge multiple worksheets in Excel after you complete the individual export operations. Prepare for the export operation. Before performing an export procedure, it is a good idea to review the data that you want to export to make sure that it does not contain any error indicators or error values. If there are any errors, try to resolve them before you export the data to Excel. Otherwise, problems can occur during the export operation, and null values might be inserted into cells in the Excel worksheet. For more information about problems that can occur when exporting to Excel, see the section Troubleshoot missing and incorrect values. If the source object is a table or a query, decide whether you want to export the data with or without its formatting. This decision affects two aspects of the resulting workbook — the amount of data that is exported and the display format of the data. The following table describes the outcome of exporting formatted and unformatted data. How to convert Excel documents to another file format. Microsoft Excel is a spreadsheet program from Microsoft Office productivity suite. You can use Excel to create and format workbooks (a collection of spreadsheets) in order to analyze data and make more informed business decisions. Specifically, you can use Excel to track data, build models for analyzing data, write formulas to perform calculations on that data, pivot the data in numerous ways, and present data in a variety of professional looking charts. About Excel Workbooks. Documents in Microsoft Excel are basically made from one or more worksheets and called workbooks. One can also say that a workbook is group of worksheets belonging to a single document. So when you create a document in Microsoft Excel , you actually open a new workbook. Microsoft Excel natively support of saving the spreadsheets to several other file formats, which may be sometimes preferred for compatibility reasons, such as opening them on older machines. How to save Excel workbooks to another file format? In order to save XLSX or XLS workbook to another format, use the File ► Save as function and in the same window where you change the name of your Excel Workbook , select the file format in the Save as type menu. Microsoft Excel supports a large number of file formats to save its workbooks data, namely XLSX , XLSM , XLSB , XLS , XLM , MHT , MHTML , HTM , HTML , XLTX , XLTM , XLT , TXT , CSV , PRN , DIF , SLX , XLAM , XLA , PDF , XPS and ODS . If you want to save latest Excel workbooks to some previous version for compatibility reasons, or to a complete different spreadsheet format, mind that you will probably lose some, or even all of Excel's special formatting and features. Such data will be lost during the saving procedure. How to save Excel spreadsheets to another file type without Microsoft Excel? If you do not have access to Microsoft Excel , yet want some of your XLS or XLSX files to save in another file format, its best to use some of the open-source alternatives, such as LibreOffice or OpenOffice.org , a free office suite that is comprised from several applications. The Calc program from these suites works much like Excel and allows saving XLS / XLSX spreadsheets to ODS , ODT , SXC , STC , DIF , DBF , SLK , CSV , HTML , XML or various templates. How to convert Excel spreadsheets without access to any Office suite? Without access to any office suite, there is only one way to convert XLS or XLSX documents to another file type and that's with the use of some online converting service, like Zamzar . But you can find plenty of other similar websites that will allow you to convert your Excel spreadsheets to something else. Related software and links: Apache OpenOffice Calc (OpenOffice.org Calc) Spreadsheet program from OpenOffice.org productivity suite. Microsoft Excel A popular spreadsheet application distributed with Microsoft Office suite. Did this entry help you? If the information in this article helped you, please share it with your friends ! Tutorial: Import Data into Excel, and Create a Data Model. Abstract: This is the first tutorial in a series designed to get you acquainted and comfortable using Excel and its built-in data mash-up and analysis features. These tutorials build and refine an Excel workbook from scratch, build a data model, then create amazing interactive reports using Power View. The tutorials are designed to demonstrate Microsoft Business Intelligence features and capabilities in Excel, PivotTables, Power Pivot, and Power View. Note: This article describes data models in Excel 2013. However, the same data modeling and Power Pivot features introduced in Excel 2013 also apply to Excel 2016. In these tutorials you learn how to import and explore data in Excel, build and refine a data model using Power Pivot, and create interactive reports with Power View that you can publish, protect, and share. The tutorials in this series are the following: Import Data into Excel 2013, and Create a Data Model. In this tutorial, you start with a blank Excel workbook. The sections in this tutorial are the following: At the end of this tutorial is a quiz you can take to test your learning. This tutorial series uses data describing Olympic Medals, hosting countries, and various Olympic sporting events. We suggest you go through each tutorial in order. Also, tutorials use Excel 2013 with Power Pivot enabled. For more information on Excel 2013, click here. For guidance on enabling Power Pivot, click here. Import data from a database. We start this tutorial with a blank workbook. The goal in this section is to connect to an external data source, and import that data into Excel for further analysis. Let’s start by downloading some data from the Internet. The data describes Olympic Medals, and is a Microsoft Access database. Click the following links to download files we use during this tutorial series. Download each of the four files to a location that’s easily accessible, such as Downloads or My Documents , or to a new folder you create: > OlympicMedals.accdb Access database > OlympicSports.xlsx Excel workbook > Population.xlsx Excel workbook > DiscImage_table.xlsx Excel workbook. In Excel 2013, open a blank workbook. Click DATA > Get External Data > From Access . The ribbon adjusts dynamically based on the width of your workbook, so the commands on your ribbon may look slightly different from the following screens. The first screen shows the ribbon when a workbook is wide, the second image shows a workbook that has been resized to take up only a portion of the screen. Select the OlympicMedals.accdb file you downloaded and click Open . The following Select Table window appears, displaying the tables found in the database. Tables in a database are similar to worksheets or tables in Excel. Check the Enable selection of multiple tables box, and select all the tables. Then click OK . The Import Data window appears. Note: Notice the checkbox at the bottom of the window that allows you to Add this data to the Data Model , shown in the following screen. A Data Model is created automatically when you import or work with two or more tables simultaneously. A Data Model integrates the tables, enabling extensive analysis using PivotTables, Power Pivot, and Power View. When you import tables from a database, the existing database relationships between those tables is used to create the Data Model in Excel. The Data Model is transparent in Excel, but you can view and modify it directly using the Power Pivot add-in. The Data Model is discussed in more detail later in this tutorial. Select the PivotTable Report option, which imports the tables into Excel and prepares a PivotTable for analyzing the imported tables, and click OK . Once the data is imported, a PivotTable is created using the imported tables. With the data imported into Excel, and the Data Model automatically created, you’re ready to explore the data. Explore data using a PivotTable. Exploring imported data is easy using a PivotTable. In a PivotTable, you drag fields (similar to columns in Excel) from tables (like the tables you just imported from the Access database) into different areas of the PivotTable to adjust how it presents your data. A PivotTable has four areas: FILTERS , COLUMNS , ROWS , and VALUES . It might take some experimenting to determine which area a field should be dragged to. You can drag as many or few fields from your tables as you like, until the PivotTable presents your data how you want to see it. Feel free to explore by dragging fields into different areas of the PivotTable; the underlying data is not affected when you arrange fields in a PivotTable. Let’s explore the Olympic Medals data in the PivotTable, starting with Olympic medalists organized by discipline, medal type, and the athlete’s country or region. In PivotTable Fields , expand the Medals table by clicking the arrow beside it. Find the NOC_CountryRegion field in the expanded Medals table, and drag it to the COLUMNS area. NOC stands for National Olympic Committees, which is the organizational unit for a country or region. Next, from the Disciplines table, drag Discipline to the ROWS area. Let’s filter Disciplines to display only five sports: Archery, Diving, Fencing, Figure Skating, and Speed Skating. You can do this from within the PivotTable Fields area, or from the Row Labels filter in the PivotTable itself. Click anywhere in the PivotTable to ensure the Excel PivotTable is selected. In the PivotTable Fields list, where the Disciplines table is expanded, hover over its Discipline field and a dropdown arrow appears to the right of the field. Click the dropdown, click (Select All) to remove all selections, then scroll down and select Archery, Diving, Fencing, Figure Skating, and Speed Skating. Click OK . Or, in the Row Labels section of the PivotTable, click the dropdown next to Row Labels in the PivotTable, click (Select All) to remove all selections, then scroll down and select Archery, Diving, Fencing, Figure Skating, and Speed Skating. Click OK . In PivotTable Fields , from the Medals table, drag Medal to the VALUES area. Since Values must be numeric, Excel automatically changes Medal to Count of Medal . From the Medals table, select Medal again and drag it into the FILTERS area. Let’s filter the PivotTable to display only those countries or regions with more than 90 total medals. Here’s how. In the PivotTable, click the dropdown to the right of Column Labels . Select Value Filters and select Greater Than…. Type 90 in the last field (on the right). Click OK . Your PivotTable looks like the following screen. With little effort, you now have a basic PivotTable that includes fields from three different tables. What made this task so simple were the pre- existing relationships among the tables. Because table relationships existed in the source database, and because you imported all the tables in a single operation, Excel could recreate those table relationships in its Data Model. But what if your data originates from different sources, or is imported at a later time? Typically, you can create relationships with new data based on matching columns. In the next step, you import additional tables, and learn how to create new relationships. Import data from a spreadsheet. Now let’s import data from another source, this time from an existing workbook, then specify the relationships between our existing data and the new data. Relationships let you analyze collections of data in Excel, and create interesting and immersive visualizations from the data you import. Let’s start by creating a blank worksheet, then import data from an Excel workbook. Insert a new Excel worksheet, and name it Sports . Browse to the folder that contains the downloaded sample data files, and open OlympicSports.xlsx . Select and copy the data in Sheet1 . If you select a cell with data, such as cell A1, you can press Ctrl + A to select all adjacent data. Close the OlympicSports.xlsx workbook. On the Sports worksheet, place your cursor in cell A1 and paste the data. With the data still highlighted, press Ctrl + T to format the data as a table. You can also format the data as a table from the ribbon by selecting HOME > Format as Table . Since the data has headers, select My table has headers in the Create Table window that appears, as shown here. Formatting the data as a table has many advantages. You can assign a name to a table, which makes it easy to identify. You can also establish relationships between tables, enabling exploration and analysis in PivotTables, Power Pivot, and Power View. Name the table. In TABLE TOOLS > DESIGN > Properties , locate the Table Name field and type Sports . The workbook looks like the following screen. Save the workbook. Import data using copy and paste. Now that we’ve imported data from an Excel workbook, let’s import data from a table we find on a web page, or any other source from which we can copy and paste into Excel. In the following steps, you add the Olympic host cities from a table. How can I export my NUMPY array into a CSV or EXCEL file. This is my first time trying to do coding in Python, so I learned how to make a numpy array, and how I can export it as CSV file using np.savetxt. But, when I open the CSV file in excel, the columns of my matrix seems to be merged in one and it is impossible to do analysis on it. I was wondering how I can fix this issue. I don't know whether numpy is a proper choice for doing this analysis or not. So, if you have any other suggestions, please include. Here, I have created an empty array with a1, b1 dimensions. Here, I have filled the empty array row by row with a for loop: Finally, when I display my array row by row, it looks like this: I want to save this array in a way that I can do some simple analysis on it. It can be in EXCEL or CSV. I used this code, but it doesn't show the columns properly. Export a Python List to Excel. I am trying to export a list to excel via the Win32COM client whihc i have imported at the header. The object i created is coded as below, but I cant seem to get it to export each value to its own row in the spreadsheet. If I can get a good pointer (other than give up python!! :D), I would appreciate it. 3 Answers 3. Since you seemed to like my answer/comment, here's an answer proper: Python Excel has just about everything you'd ever need. If you want something more integrated but seems limited, there is IronSpread. XLRD and XLWT are great packages, but they don't support *.xlsx files. IronSpread is Windows only and only support '07 and '10 versions of Excel. Each has it's caveats. In the end, you can use both (edit as *.xlsx, then save as to *.xls (I had someone who had speed issues with large *.xls files, but my script wrote 200mb of text from that thing in like 1 minute.)). Oh, and I would definitely read (skim) the documentation for interesting features such as getting the cell types etc of xlrd/xlwt. It's worth it, if only because it's short and will save you the learning curve of experimenting.