Using JMP > Import Your Data > Import XML and JSON Files
Publication date: 08/13/2020

Import XML and JSON Files

Preview and Import the XML or JSON Data

The XML Import Wizard imports two types of nested text data: XML and JSON files. Both kinds of files contain structured text that can be nested to represent hierarchical relationships. This wizard helps you pick out the elements of the hierarchy that hold values and elements that determine rows to build a data table.

A useful way to imagine a nested text file: the document is a book of short stories. Some of the short stories might have chapters, others only have paragraphs. Chapters have paragraphs. Paragraphs have sentences. Here’s an example of the full tree for such a book.

<book>
  <story name="car poll">
    <wheels>4</wheels>
    <para><name>chev</name></para>
    <para><name>ford</name></para>
    <para><name>volk</name></para>
  </story>
  <story name="big class">
    <para><name>ralph</name><height>6</height></para>
    <para><name>billy</name><height>5</height></para>
  </story>
  <story name="cheese" location="NC">
    <chapter name="american">
      <para>1<price>2.00</price><quantity>2</quantity></para>
      <para>2<price>2.10</price><quantity>4</quantity></para>
      <para>3<price>2.20</price><quantity>3</quantity></para>
    </chapter>
    <chapter name="swiss">
      <para>1<price>3.00</price><quantity>3</quantity></para>
      <para>2<price>3.10</price><quantity>2</quantity></para>
    </chapter>
  </story>
</book>

This XML document (the book) contains three short stories; each short story is a different data table. In the following example, you choose to import only one of them at a time. This particular XML file uses paragraphs to represent rows in a table in all of the tables. That is not required, nor are any of the names special. If you wanted to import the cheese table, which is slightly more complicated than the other two, you’d probably want a variety column, containing “american” or “swiss” for each row. You would also want price and quantity columns. And you might want a column that doesn’t have a clearly defined name for the 1, 2, 3, 1, 2 values of <para>. You’d expect five rows. Finally, you might want a table variable or a column for the location NC value.

A JSON file consists of name and value pairs that are imported as column headings and data. In the following example, the first name in each string is appended to “Grocery Store Purchases” and turned into column headings, as in “Grocery Store Purchases.Item”. “avocado” is the value in the first cell of the table. The next column is named “Grocery Store Purchases.Category”, and “Produce” is the value in the first cell of the second column.

{"Grocery Store Purchases":[
    {"Item":"avocado", "Category":"Produce"},
    {"Item":"bread", "Category":"Bakery"},
    {"Item":"chocolate", "Category":"candy"}
]}

To import an XML or JSON file in the XML Import Wizard

1. Select File > Open.

2. Browse to JMP’s Samples/Import Data folder.

3. On Windows, set the file type to XML Data Files.

4. Select Book.xml and click Open.

The file opens in the XML Import Wizard.

Note: “Data (Using Preview)” is selected on the Open Data File window so that the XML file opens in the wizard automatically. You can also import XML and JSON files directly. See Import XML Files Directly.

Determine How the Data is Imported

1. In the Row column, select the element that should create a new row in the data table. In this example, the row is created when </para> is processed, and the columns are written for that row with their current values.

Figure 3.28 Row Element Selected in the Row Column 

2. In the Col column, select the data type for that column next to the Col circle.

location: Character

name: Character (both instances)

price: Numeric

quantity: Numeric

Tip: The values in the Sampler column give an idea of what the data type should be.

Figure 3.29 Data Types Assigned in the Col Column 

3. In the Fill column, specify which values fill the cells.

For location and the both instances of name, click the Fill circle and select +book/story. This setting fills cells with the values until the node <book>/<story> begins again.

Figure 3.30 Fill Values Selected in the Fill Column 

When adding each row to the data table, JMP decides what to do on the next row if no new value is found for a column. For example, the chapter name is not specified for each type of cheese, Missing values follow “american” and “swiss”.

The Use Once option means use the value once and forget it; the second, third, and fifth rows would be missing if the data is not given again.

The Fill Forever option means never forget the value but replace it with new values when found.

You select the +book/story option in this example. This option indicates that, when the opening <book>/<story> elements are found, JMP fills in the cells until the <book>/<story> node begins again. The -<element> option refers to the closing tag of the element, which will be the point at which the node ends.

4. In the Format column, click Best next to price, select Fixed Dec, type “2” for the decimal place, then click OK.

Figure 3.31 Format Type Selected in the Format Column 

5. In the Column Name column, rename columns as shown in Figure 3.32.

Figure 3.32 Renamed Columns in the Column Name Column 

6. At the bottom of the window, click OK.

The data is imported in a data table as you specified.

Figure 3.33 Final Data Table 

View the Statistics

Click Stat Cols at the top of the XML Import Wizard to show statistics for the elements.

Occurs

The number of times the element occurs. The root element occurs once and is usually not the element to make rows from. You’ll get as many rows from the element as occur.

If you pick multiple rows, then the actual number might be less than the total of the “occurs”; elements that end right after another element ends don’t generate an extra row. For example, if you select both <para> and <chapter> as row makers, then you don’t get an extra row when the chapter ends right after the last paragraph. But you could get an extra row if there were a <footnote> for <chapter> after the last paragraph and before the end of the chapter. You’d have to select the footnote column to make that happen.

Writes

The number of times the source has a value that could be written. If it is zero, you probably don’t want to make a column from this element, because the values would be all missing.

Unique

The number of unique values (less than or equal to the Writes value).

Repeats

The maximum number of times this element repeats within its parent element. Bigger repeat values are likely candidates to make rows. If this element repeats and is used as a column, a character column will make a list; an expression column might be even better because it uses {lists} (within curly brackets) to indicate where the values stop and start. A numeric column will get only one of the repeating values.

Sampler

The values for the element.

XML Import Wizard Options

Guess

JMP selects the settings based on the size of data table that you select. Tall guess selects an element that will make as many rows as possible (the default setting). Wide guess selects an element to make rows that will make as many columns as possible. Huge guess selects as many elements to make rows as it needs to get all of the data into the table; it might be bigger than you expect.

Undo

Reverses the last change made to the window.

Redo

Recalls the last change made to the window.

Name Col

Shows or hides the Column Name column.

Stat Cols

Shows or hides statistics for the elements in the tree.

Stack

Applies to nodes that repeat within a parent node that is creating rows. By default, extra values are stored in a single table cell separated by commas. If this option is selected, repeating values are stacked in extra rows.

Import Preview

Shows a preview of the imported data according to the options that you select.

Source View

Shows the source XML document.

Script View

Shows a JSL script of the settings that you select.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).
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