![]() Here is the transposed version of the previous column chart datasheet: If you would instead like to work with a datasheet where columns contain the data for a single series, with rows representing categories, you can simply click the Transpose Sheet button to transpose the datasheet, swapping the row and column data together with any category/series interpretation. Here is a typical datasheet for a column chart: In bar charts, for example, columns contain the data for a single series, while in column charts, rows contain the data for a single series. The layout of a think-cell datasheet depends on the chart type. ![]() The default behavior of the datasheet depends on the chart type: 100%-charts and area or Mekko charts with %-axis as well as pie charts default to percentages, while all other charts default to absolute values. The following datasheet uses percentages to specify the same data values: In order to have think-cell calculate absolute values from the percentages you entered, you should fill in the absolute values that represent 100% in the 100%= row. Again, you can choose to label the chart with absolute or relative values. The following datasheet calculates percentages based on 100% being equal to a value of 50:Īlternatively, you can fill in the datasheet with percentages. You can enter explicit values in the 100%= row to override this assumption. If you choose to label the chart with percentages, the percentages are calculated from the absolute values, assuming the sum of each column to be 100%. A simple datasheet with only absolute values looks like this:įor simple charts based on absolute values only, the 100%= row on top of the chart data can be left empty. If you enter absolute values but want to label the chart with percentages (or vice versa), think-cell performs the necessary conversion (see Label content). Keep in mind that for the display in the chart, it does not matter if you enter percentages or absolute values. You can always toggle the interpretation of a column’s data with the button. The distinction between the two types of data is made by the Excel cell formatting. The think-cell datasheet alternatively supports entry of absolute or relative values. Note: If you have Microsoft’s Chinese Conversion feature installed, you will find the options Simplified Chinese and Traditional Chinese in the datasheet’s Tools menu. The standard buttons for undo and redo and cut, copy and paste are available as well. To insert or delete a row (or column) you can use the respective buttons in the toolbar of the datasheet. ![]() But of course you can also use an Excel file as a data source (see Excel data links). You can use all the same shortcut keys, you can enter formulas instead of numbers, and so forth. Think-cell uses a customized Microsoft Excel sheet for data input, which you can use in the same way as regular Excel. The datasheet also opens immediately when a new chart is inserted. The datasheet is opened by double-clicking the chart or by clicking the Open Datasheet button that appears when the chart is selected. Type GRABIT('-sample') to load a sample image.Ĭreated in MATLAB® R13.5.1 Internal datasheet 5.2 Absolute and relative values 5.3 Transposing the datasheet 5.4 Reverse order in datasheet 5.5 Edit data layout 5.6 Extracting numerical data from images 5.1 Internal datasheetĮvery chart created with think-cell has an associated datasheet. GRABIT(FILENAME) will start the GUI program and open the image file FILENAME. Basically, any format supported by the IMREAD is accepted. The types of files that will most likely work are BMP, JPG, TIF, GIF (up to 8-bit), and PNG files. The calibration stage ensures that the imperfect orientation or quality of the image is accounted for. This code will also work for extracting data points from a tilted or a skewed image (even upside-down or mirrored). In addition to using the zoom button, there are keyboard shortcuts for zooming: Panning is achieved by clicking and dragging on the image. Variables can be renamed, saved to file, or edited in Array Editor. Multiple data sets will remain in memory so long as the GUI is open. You will be prompted to select 4 points on the image.ģ. It can also be renamed and saved as a MAT file.Ģ. Multiple data sets can be extracted from a single image file, and the data is saved as an n-by-2 matrix variable in the workspace. It is capable of reading in BMP, JPG, TIF, GIF, and PNG files (anything that is readable by IMREAD). GRABIT starts a GUI program for extracting data from an image file. GRABIT Extracts data points from an image file.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |