docs.sheetjs.com/docz/docs/03-demos/32-extensions/10-stata.md

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title: Modern Spreadsheets in Stata
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[Stata](https://www.stata.com/) is a statistical software package. It offers a
robust C-based extension system.

[SheetJS](https://sheetjs.com) is a JavaScript library for reading and writing
data from spreadsheets.

This demo uses SheetJS to pull data from a spreadsheet for further analysis
within Stata. We'll create a Stata native extension that loads the
[Duktape](/docs/demos/engines/duktape) JavaScript engine and uses the SheetJS
library to read data from spreadsheets and converts to a Stata-friendly format.

```mermaid
flowchart LR
  ofile[(workbook\nXLSB file)]
  nfile[(clean file\nXLSX)]
  data[[Stata\nVariables]]
  ofile --> |Stata Extension\nSheetJS + Duktape| nfile
  nfile --> |Stata command\nimport excel|data
```

The demo will read [a Numbers workbook](https://sheetjs.com/pres.numbers) and
generate variables for each column. A sample Stata session is shown below:

![Stata commands](pathname:///stata/commands.png)

:::info pass

This demo covers Stata extensions. For directly processing Stata DTA files, the
["Stata DTA Codec"](/docs/constellation/dta) works in the browser or NodeJS.

:::

:::note Tested Deployments

This demo was last tested by SheetJS users on 2023 November 15.

:::

:::info pass

Stata has limited support for processing spreadsheets through the `import excel`
command[^1]. At the time of writing, it lacked support for XLSB, NUMBERS, and
other common spreadsheet formats.

SheetJS libraries help fill the gap by normalizing spreadsheets to a form that
Stata can understand.

:::

## Integration Details

The current recommendation involves a native plugin that reads arbitrary files
and generates clean XLSX files that Stata can import.

The extension function ultimately pairs the SheetJS `read`[^2] and `write`[^3]
methods to read data from the old file and write a new file:

```js
var wb = XLSX.read(original_file_data, {type: "buffer"});
var new_file_data = XLSX.write(wb, {type: "array", bookType: "xlsx"});
```

The extension function `cleanfile` will take one or two arguments:

`plugin call cleanfile, "pres.numbers"` will generate `sheetjs.tmp.xlsx` from
the first argument (`"pres.numbers"`) and print instructions to load the file.

`plugin call cleanfile, "pres.numbers" verbose` will additionally print CSV
contents of each worksheet in the workbook.

```mermaid
flowchart LR
  ofile{{File\nName}}
  subgraph JS Operations
    ojbuf[(Buffer\nFile Bytes)]
    wb(((SheetJS\nWorkbook)))
    njbuf[(Buffer\nXLSX bytes)]
  end
  obuf[(File\nbytes)]
  nbuf[(New file\nbytes)]
  nfile[(XLSX\nFile)]
  ofile --> |C\nRead File| obuf
  obuf --> |Duktape\nBuffer Ops| ojbuf
  ojbuf --> |SheetJS\n`read`| wb
  wb --> |SheetJS\n`write`| njbuf
  njbuf --> |Duktape\nBuffer Ops| nbuf
  nbuf --> |C\nWrite File| nfile
```

### C Extensions

Stata C extensions are shared libraries or DLLs that use special Stata methods
for parsing arguments and returning values.

Arguments are passed to the `stata_call` function in the DLL.

`SF_display` and `SF_error` display text and error messages respectively.

### Duktape JS Engine

This demo uses the [Duktape JavaScript engine](/docs/demos/engines/duktape). The
SheetJS + Duktape demo covers engine integration details in more detail.

The [SheetJS Standalone scripts](/docs/getting-started/installation/standalone)
can be loaded in Duktape by reading the source from the filesystem.

## Complete Demo

:::info pass

This demo was tested in Windows x64 and macOS x64. The path names and build
commands will differ in other platforms and operating systems.

:::

The [`cleanfile.c`](pathname:///stata/cleanfile.c) extension defines one plugin
function. It can be chained with `import excel`:

```stata
program cleanfile, plugin
plugin call cleanfile, "pres.numbers" verbose
program drop cleanfile
import excel "sheetjs.tmp.xlsx", firstrow
```

### Create Plugin

<Tabs groupId="os">
  <TabItem value="unix" label="Linux/MacOS">

0) Ensure a compatible C compiler (Xcode on macOS) is installed.

1) Open Stata and run the following command:

```stata
pwd
```

The output will be the default data directory. On macOS this is typically
`~/Documents/Stata`

2) Open a terminal window and create a project folder `sheetjs-stata` within the
Stata data directory:

```bash
# `cd` to the Stata data directory
cd ~/Documents/Stata
mkdir sheetjs-stata
cd sheetjs-stata
```

  </TabItem>
  <TabItem value="win" label="Windows">

0) Ensure "Windows Subsystem for Linux" (WSL) and Visual Studio are installed.

1) Open a new "x64 Native Tools Command Prompt" window and create a project
folder `c:\sheetjs-stata`:

```powershell
cd c:\
mkdir sheetjs-stata
cd sheetjs-stata
```

2) Enter WSL:

```powershell
bash
```

  </TabItem>
</Tabs>

3) Download [`stplugin.c`](https://www.stata.com/plugins/stplugin.c) and
[`stplugin.h`](https://www.stata.com/plugins/stplugin.h) from the Stata website:

```bash
curl -LO https://www.stata.com/plugins/stplugin.c
curl -LO https://www.stata.com/plugins/stplugin.h
```

4) Download Duktape. In Windows, the following commands should be run in WSL. In
macOS, the commands should be run in the same Terminal session.

```bash
curl -LO https://duktape.org/duktape-2.7.0.tar.xz
tar -xJf duktape-2.7.0.tar.xz
mv duktape-2.7.0/src/*.{c,h} .
```

5) Download [`cleanfile.c`](https://docs.sheetjs.com/stata/cleanfile.c).

In Windows, the following commands should be run in WSL. In macOS, the commands
should be run in the same Terminal session.

```bash
curl -LO https://docs.sheetjs.com/stata/cleanfile.c
```

<Tabs groupId="os">
  <TabItem value="unix" label="Linux/MacOS">

6) Observe that macOS does not need a "Linux Subsystem" and move to Step 7.

7) Build the plugin:

```bash
gcc -shared -fPIC -DSYSTEM=APPLEMAC stplugin.c duktape.c cleanfile.c -lm -std=c99 -Wall -ocleanfile.plugin
```

  </TabItem>
  <TabItem value="win" label="Windows">

6) Exit WSL:

```bash
exit
```

The window will return to the command prompt.

7) Build the DLL:

```powershell
cl /LD cleanfile.c stplugin.c duktape.c
```

  </TabItem>
</Tabs>

### Install Plugin

<Tabs groupId="os">
  <TabItem value="unix" label="Linux/MacOS">

8) Copy the plugin to the Stata data directory:

```bash
cp cleanfile.plugin ../
```

  </TabItem>
  <TabItem value="win" label="Windows">

8) Copy the DLL to `cleanfile.plugin` in the Stata data directory. For example,
with a shared data directory `c:\data`:

```powershell
mkdir c:\data
copy cleanfile.dll c:\data\cleanfile.plugin
```

  </TabItem>
</Tabs>

### Download SheetJS Scripts

<Tabs groupId="os">
  <TabItem value="unix" label="Linux/MacOS">

9) Move to the Stata data directory:

```bash
cd ..
```

10) Observe that macOS does not need a "Linux Subsystem" and move to Step 11.

  </TabItem>
  <TabItem value="win" label="Windows">

9) Move to the `c:\data` directory:

```powershell
cd c:\data
```

10) Enter WSL

```powershell
bash
```

  </TabItem>
</Tabs>

11) Download SheetJS scripts and the test file.

In Windows, the following commands should be run in WSL. In macOS, the commands
should be run in the same Terminal session.

<CodeBlock language="bash">{`\
curl -LO https://cdn.sheetjs.com/xlsx-${current}/package/dist/shim.min.js
curl -LO https://cdn.sheetjs.com/xlsx-${current}/package/dist/xlsx.full.min.js
curl -LO https://sheetjs.com/pres.numbers`}
</CodeBlock>

### Stata Test

:::note pass

The screenshot in the introduction shows the result of steps 13 - 19

:::

12) If it is not currently running, start the Stata application.

<Tabs groupId="os">
  <TabItem value="unix" label="Linux/MacOS">

13) Run the following command in Stata:

```stata
dir
```

Inspect the output and confirm that `cleanfile.plugin` is listed.

  </TabItem>
  <TabItem value="win" label="Windows">

13) Move to the `c:\data` directory in Stata:

```stata
cd c:\data
```

  </TabItem>
</Tabs>

14) Load the `cleanfile` plugin:

```stata
program cleanfile, plugin
```

16) Read the `pres.numbers` test file:

```stata
plugin call cleanfile, "pres.numbers" verbose
```

The result will show the data from `pres.numbers`:

<pre>
<b>. plugin call cleanfile, "pres.numbers" verbose</b>{'\n'}
Worksheet 0 Name: Sheet1{'\n'}
Name,Index{'\n'}
Bill Clinton,42{'\n'}
GeorgeW Bush,43{'\n'}
Barack Obama,44{'\n'}
Donald Trump,45{'\n'}
Joseph Biden,46{'\n'}
{'\n'}
Saved to `sheetjs.tmp.xlsx`{'\n'}
<span {...b}>import excel "sheetjs.tmp.xlsx", firstrow</span> will read the first sheet and use headers{'\n'}
for more help, see <span {...b}>import excel</span>
</pre>

17) Close the plugin:

```stata
program drop cleanfile
```

18) Clear the current session:

```stata
clear
```

<p>19) In the result of Step 16, click the link on <code><span {...b}>import
excel "sheetjs.tmp.xlsx", firstrow</span></code></p>

Alternatively, manually type the command:

```stata
import excel "sheetjs.tmp.xlsx", firstrow
```

The output will show the import result:

<pre>
<b>. import excel "sheetjs.tmp.xlsx", firstrow</b>{'\n'}
(2 vars, 5 obs)
</pre>

20) Open the Data Editor (in Browse or Edit mode) and compare to the screenshot:

```stata
browse Name Index
```

![Data Editor showing data from the file](pathname:///stata/data-editor.png)

[^1]: Run `help import excel` in Stata or see ["import excel"](https://www.stata.com/manuals/dimportexcel.pdf) in the Stata documentation.
[^2]: See [`read` in "Reading Files"](/docs/api/parse-options)
[^3]: See [`write` in "Writing Files"](/docs/api/write-options)