docs.sheetjs.com/04-import.md at 93c86892852f978b8fdce7981f693f38e79a0e43

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SheetJS 93c8689285 Windows x86 migration of desktop demos

2024-12-21 23:47:57 -05:00

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Import Tutorial	getting-started/installation/index	getting-started/roadmap	4

import current from '/version.js'; import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import CodeBlock from '@theme/CodeBlock';

Many government agencies distribute official data and statistics in workbooks. SheetJS libraries help translate these files to useful information.

The goal of this example is to process Federal Student Aid Portfolio data from a XLS worksheet. We will download and parse a workbook from the US Department of Education. Once the raw data is parsed, we will extract the total outstanding dollar amount and display the data in a table.

The "Live Demo" section includes a working demo in this page! "Run the Demo Locally" shows how to run the workflow in iOS / Android apps, desktop apps, NodeJS scripts and other environments.

The following sequence diagram shows the process:

sequenceDiagram
  actor U as User
  participant P as Page
  participant A as Site
  U->>P: load site
  P->>A: fetch file
  A->>P: raw file
  Note over P: parse file
  Note over P: process data
  Note over P: generate table
  P->>U: show table

Download File

The raw data is available in a XLS workbook¹. It has been mirrored at https://docs.sheetjs.com/PortfolioSummary.xls

:::info pass

This official dataset is distributed in XLS workbooks.

SheetJS supports a number of legacy and modern formats, ensuring that historical data is not lost in the sands of time.

:::

Downloading the file is straightforward with fetch:

const url = "https://docs.sheetjs.com/PortfolioSummary.xls";
const file = await (await fetch(url)).arrayBuffer();

Code Explanation (click to show)

fetch is a low-level API for downloading data from an endpoint. It separates the network step from the response parsing step.

Network Step

fetch(url) returns a Promise representing the network request. The browser will attempt to download data from the URL. If the network request succeeded, the Promise will "return" with a Response object.

Using modern syntax, inside an async function, code should await the fetch:

const response = await fetch(url);

Checking Status Code

If the file is not available, the fetch will still succeed.

The status code, stored in the status property of the Response object, is a standard HTTP status code number. Code should check the result.

Typically servers will return status 404 "File not Found" if the file is not available. A successful request should have status 200 "OK".

Extracting Data

Response#arrayBuffer will pull the raw bytes into an ArrayBuffer, an object which can represent the file data. Like fetch, the arrayBuffer method returns a Promise that must be await-ed:

const file = await response.arrayBuffer();

:::note pass

The Response object has other useful methods. Response#json will parse the data with JSON.parse, suitable for data from an API endpoint.

:::

Production Use

Functions can test each part independently and report different errors:

async function get_file_from_endpoint(url) {
  /* perform network request */
  let response;
  try {
    response = await fetch(url);
  } catch(e) {
    /* network error */
    throw new Error(`Network Error: ${e.message}`);
  }

  /* check status code */
  if(response.status == 404) {
    /* server 404 error -- file not found */
    throw new Error("File not found");
  }
  if(response.status != 200) {
    /* for most servers, a successful response will have status 200 */
    throw new Error(`Server status ${response.status}: ${response.statusText}`);
  }

  /* get data */
  let ab;
  try {
     ab = await response.arrayBuffer();
  } catch(e) {
    /* data error */
    throw new Error(`Data Error: ${e.message}`);
  }

  return ab;
}

The file data is stored in an ArrayBuffer.

Parse File

With the file data in hand, XLSX.read² parses the workbook:

const workbook = XLSX.read(file);

The workbook object follows the "Common Spreadsheet Format"³, an in-memory format for representing workbooks, worksheets, cells, and spreadsheet features.

Explore Dataset

:::caution pass

Spreadsheets in the wild use many different inconsistent conventions.

To determine how to process the data, it is best to inspect the file first.

:::

List Sheet Names

As explained in the "Workbook Object"⁴ section, the SheetNames property is a ordered list of the sheet names in the workbook.

The following live code block displays an ordered list of the sheet names:

function SheetJSheetNames() {
  const [names, setNames] = React.useState([]);
  React.useEffect(() => { (async() =>{
    /* parse workbook */
    const url = "https://docs.sheetjs.com/PortfolioSummary.xls";
    const file = await (await fetch(url)).arrayBuffer();
    const workbook = XLSX.read(file);
    /* display sheet names */
    setNames(workbook.SheetNames);
  })(); }, []);
  return ( <>
    <b>Sheet Names</b><br/>
    <ol start={0}>{names.map(n => (<li>{n}</li>))}</ol>
  </> )
}

Inspect Worksheet Data

The Sheets property of the workbook object⁵ is an object whose keys are sheet names and whose values are sheet objects. For example, the first worksheet is pulled by indexing SheetNames and using the name to index Sheets:

var first_sheet = workbook.Sheets[workbook.SheetNames[0]];

The actual worksheet object can be inspected directly⁶, but it is strongly recommended to use utility functions to present JS-friendly data structures.

Preview HTML

The sheet_to_html utility function⁷ generates an HTML table from worksheet objects. The following live example shows the first 20 rows of data in a table:

Live example (click to show)

:::info pass

SheetJS CE primarily focuses on data processing.

SheetJS Pro supports reading cell styles from files and generating styled HTML tables with colors, fonts, alignment and rich text.

:::

function SheetJSHTMLView() {
  const [__html, setHTML] = React.useState("");
  React.useEffect(() => { (async() =>{
    /* parse workbook, limiting to 20 rows */
    const url = "https://docs.sheetjs.com/PortfolioSummary.xls";
    const workbook = XLSX.read(await (await fetch(url)).arrayBuffer(), {sheetRows:20});
    /* get first worksheet */
    const worksheet = workbook.Sheets[workbook.SheetNames[0]];
    /* generate and display HTML */
    const table = XLSX.utils.sheet_to_html(worksheet);
    setHTML(table);
  })(); }, []);
  return ( <div dangerouslySetInnerHTML={{__html}}/> );
}

The key points from looking at the table are:

The data starts on row 7
Rows 5 and 6 are the header rows, with merged cells for common titles
For yearly data (2007-2012), columns A and B are merged
For quarterly data (2013Q1 and later), column A stores the year. Cells may be merged vertically to span 4 quarters

Extract Data

Extract Raw Data

XLSX.utils.sheet_to_json⁸ generates arrays of data from worksheet objects.

For a complex layout like this, it is easiest to generate an "array of arrays" where each row is an array of cell values. The screenshot shows rows 5-8:

In the array of arrays, row 5 has a number of gaps corresponding to empty cells and cells that are covered in the merge ranges:

// Row 5 -- the gaps correspond to cells with no content
[ , , "Direct Loans", , "Federal Family Education Loans (FFEL)", , "Perkins Loans", , "Total1" ]

Row 7 includes the data for FY2007:

// Row 7 -- column B is covered by the merge
[ 2007, , 106.8, 7, 401.9, 22.6, 8.2, 2.8, 516, 28.3 ]

XLSX.utils.sheet_to_json will generate an array of arrays if the option header: 1 is specified⁹:

const worksheet = workbook.Sheets[workbook.SheetNames[0]];
const raw_data = XLSX.utils.sheet_to_json(worksheet, {header: 1});

Fill Merged Blocks

Cells A13:A16 are merged:

The merged data only applies to the top-left cell (A13). The array of arrays will have holes in cells A14:A16 (written as null):

// Row 13
[2013, "Q1", 508.7, 23.4, 444.9, 22.1, 8.2, 3,    961.9, 38.7]

// Row 14
[null, "Q2", 553,   24.1, 437,   21.6, 8.3, 3,    998.6, 38.9]

// Row 15
[null, "Q3", 569.2, 24.3, 429.5, 21.2, 8.2, 2.9, 1006.8, 38.7]

// Row 16
[null, "Q4", 609.1, 25.6, 423,   20.9, 8.1, 2.9, 1040.2, 39.6]

Live example (click to show)

function SheetJSAoAHoles() {
  const [rows, setRows] = React.useState([]);
  React.useEffect(() => { (async() =>{
    /* parse workbook */
    const url = "https://docs.sheetjs.com/PortfolioSummary.xls";
    const workbook = XLSX.read(await (await fetch(url)).arrayBuffer());
    /* get first worksheet */
    const worksheet = workbook.Sheets[workbook.SheetNames[0]];
    const raw_data = XLSX.utils.sheet_to_json(worksheet, {header:1});

    /* pull Excel rows 13:16 (SheetJS 12:15) */
    const rows_13_16 = raw_data.slice(12,16);
    /* display data */
    setRows(rows_13_16);
  })(); }, []);
  return ( <pre>Rows 13:16{rows.map(r => "\n"+JSON.stringify(r))}</pre> );
}

The worksheet !merges property¹⁰ includes every merge range in the sheet. It is possible to loop through every merge block and fill cells, but in this case it is easier to post-process the raw data:

let last_year = 0;
raw_data.forEach(r => last_year = r[0] = (r[0] != null ? r[0] : last_year));

:::caution pass

JavaScript code can be extremely concise. The "Code Explanation" blocks explain the code in more detail.

:::

Code Explanation (click to show)

Analyzing every row in the dataset

Array#forEach takes a function and calls it for every element in the array. Any modifications to objects affect the objects in the original array.

For example, this loop will print out the first column in the arrays:

raw_data.forEach(r => {
  console.log(r);
});

Tracking the last value seen in a column

When looping over the array, Array#forEach can modify variables outside of the function body. For example, the following loop keeps track of the last value:

let last_value = null;
raw_data.forEach(r => {
  if(r[0] != null) last_value = r[0];
});

Filling in data

Array#forEach can mutate objects. The following code will assign the last value to the first column if it is not specified:

let last_value = null;
raw_data.forEach(r => {
  if(r[0] != null) last_value = r[0];
  // highlight-next-line
  else if(r[0] == null && last_value != null) r[0] = last_value;
});

Simplifying the code

When r[0] == null and last_value == null, assigning r[0] = last_value will not affect the result in the actual data rows:

let last_value = null;
raw_data.forEach(r => {
  if(r[0] != null) last_value = r[0];
  // highlight-next-line
  else if(r[0] == null) r[0] = last_value;
});

For simple data rows, either r[0] == null or r[0] != null, so the if block can be rewritten as a ternary expression:

let last_value = null;
raw_data.forEach(r => {
  (r[0] != null) ? (last_value = r[0]) : (r[0] = last_value);
});

Observing that r[0] must equal last_value, the inner statement can be rewritten to compute the final value and assign to both variables:

let last_value = null;
raw_data.forEach(r => {
  last_value = r[0] = (r[0] != null ? r[0] : last_value);
});

:::caution pass

It is tempting to take advantage of implicit logical rules:

let last_value = null;
raw_data.forEach(r => {
  last_value = r[0] = (r[0] || last_value);
});

This is strongly discouraged since the value 0 is false. The explicit null test distinguishes null and undefined from 0

:::

After post-processing, the rows now have proper year fields:

// Row 13
[2013, "Q1", 508.7, 23.4, 444.9, 22.1, 8.2, 3,    961.9, 38.7]

// Row 14
[2013, "Q2", 553,   24.1, 437,   21.6, 8.3, 3,    998.6, 38.9]

// Row 15
[2013, "Q3", 569.2, 24.3, 429.5, 21.2, 8.2, 2.9, 1006.8, 38.7]

// Row 16
[2013, "Q4", 609.1, 25.6, 423,   20.9, 8.1, 2.9, 1040.2, 39.6]

Live example (click to show)

function SheetJSAoAFilled() {
  const [rows, setRows] = React.useState([]);
  React.useEffect(() => { (async() =>{
    /* parse workbook */
    const url = "https://docs.sheetjs.com/PortfolioSummary.xls";
    const workbook = XLSX.read(await (await fetch(url)).arrayBuffer());
    /* get first worksheet */
    const worksheet = workbook.Sheets[workbook.SheetNames[0]];
    const raw_data = XLSX.utils.sheet_to_json(worksheet, {header:1});
    /* fill years */
    var last_year = 0;
    raw_data.forEach(r => last_year = r[0] = (r[0] != null ? r[0] : last_year));

    /* pull Excel rows 13:16 (SheetJS 12:15) */
    const rows_13_16 = raw_data.slice(12,16);
    /* display data */
    setRows(rows_13_16);
  })(); }, []);
  return ( <pre>Rows 13:16{rows.map(r => "\n"+JSON.stringify(r))}</pre> );
}

Select Data Rows

At this point, each data row will have the year in column A and dollar value in column C. The year will be between 2007 and 2024 and the value will be positive. The following function tests a data row:

const is_valid_row = r =>
  r[0] >= 2007 && r[0] <= 2024 // year (column A) is between 2007 and 2024
  && r[2] > 0; // dollar value (column C) is positive

Array#filter, using the previous test, can select the matching rows:

const rows = raw_data.filter(r => r[0] >= 2007 && r[0] <= 2024 && r[2] > 0);

Live example (click to show)

function SheetJSAoAFiltered() {
  const [rows, setRows] = React.useState([]);
  React.useEffect(() => { (async() =>{
    /* parse workbook */
    const url = "https://docs.sheetjs.com/PortfolioSummary.xls";
    const workbook = XLSX.read(await (await fetch(url)).arrayBuffer());
    /* get first worksheet */
    const worksheet = workbook.Sheets[workbook.SheetNames[0]];
    const raw_data = XLSX.utils.sheet_to_json(worksheet, {header:1});
    /* fill years */
    var last_year = 0;
    raw_data.forEach(r => last_year = r[0] = (r[0] != null ? r[0] : last_year));
    /* select data rows */
    const rows = raw_data.filter(r => r[0] >= 2007 && r[0] <= 2024 && r[2] > 0);
    /* display data */
    setRows(rows);
  })(); }, []);
  return ( <pre>{rows.map(r => JSON.stringify(r)+"\n")}</pre> );
}

Generate Row Objects

Looking at the headers:

The desired data is in column I. The column index can be calculated using XLSX.utils.decode_col¹¹.

Column Index calculation (click to show)

function SheetJSDecodeCol() {
  const cols = ["A", "B", "I"];

  return ( <table><thead><tr><th>Label</th><th>Index</th></tr></thead>
    <tbody>{cols.map(col => ( <tr>
      <td>{col}</td>
      <td>{XLSX.utils.decode_col(col)}</td>
    </tr> ))}</tbody>
  </table> );
}

The desired columns are:

Column	Description	Property in Object
A / 0	Fiscal Year	`FY`
B / 1	Fiscal Quarter (if applicable)	`FQ`
I / 8	Total Dollars Outstanding	`total`

An Array#map over the data can generate the desired row objects:

const objects = rows.map(r => ({FY: r[0], FQ: r[1], total: r[8]}));

This will generate an array of row objects. Each row object will look like the following row:

// 2016 Q1 - $1220.3 (billion)
{ "FY": 2016, "FQ": "Q1", "total": 1220.3 }

Live example (click to show)

function SheetJSObjects() {
  const [rows, setRows] = React.useState([]);
  React.useEffect(() => { (async() =>{
    /* parse workbook */
    const url = "https://docs.sheetjs.com/PortfolioSummary.xls";
    const workbook = XLSX.read(await (await fetch(url)).arrayBuffer());
    /* get first worksheet */
    const worksheet = workbook.Sheets[workbook.SheetNames[0]];
    const raw_data = XLSX.utils.sheet_to_json(worksheet, {header:1});
    /* fill years */
    var last_year = 0;
    raw_data.forEach(r => last_year = r[0] = (r[0] != null ? r[0] : last_year));
    /* select data rows */
    const rows = raw_data.filter(r => r[0] >= 2007 && r[0] <= 2024 && r[2] > 0);
    /* generate row objects */
    const objects = rows.map(r => ({FY: r[0], FQ: r[1], total: r[8]}));
    /* display data */
    setRows(objects);
  })(); }, []);
  return ( <pre>{rows.map(r => JSON.stringify(r)+"\n")}</pre> );
}

Present Data

At this point, objects is an array of objects.

ReactJS

The live demos in this example use ReactJS. In ReactJS, arrays of objects are best presented in simple HTML tables¹²:

<table>
  <thead><tr><th>Fiscal Year</th><th>Quarter</th><th>Total (in $B)</th></tr></thead>
  <tbody>
    {objects.map((o,R) => ( <tr key={R}>
      <td>{o.FY}</td>
      <td>{o.FQ}</td>
      <td>{o.total}</td>
    </tr>))}
  </tbody>
</table>

Vanilla JS

https://sheetjs.com/sl.html is a hosted version of this demo.

Without a framework, HTML table row elements can be programmatically created with document.createElement and added to the table body element. For example, if the page has a stub table:

<table>
  <thead><tr><th>Fiscal Year</th><th>Quarter</th><th>Total (in $B)</th></tr></thead>
  <tbody id="tbody"></tbody>
</table>

TR elements can be added to the table body using appendChild:

/* add rows to table body */
objects.forEach(o => {
  const row = document.createElement("TR");
  row.innerHTML = `<td>${o.FY}</td><td>${o.FQ||""}</td><td>${o.total}</td>`;
  tbody.appendChild(row);
});

Command-Line Tools

In the command line, there are ways to display data in a table:

 FY    FQ    Total
 --    --    -----
2007         516
2013   Q1    961.9

For data pipelines, tab-separated rows are strongly recommended:

  /* print header row*/
  console.log(`FY\tFQ\tTotal`);
  /* print tab-separated values */
  objects.forEach(o => {
    console.log(`${o.FY}\t${o.FQ||""}\t${o.total}`);
  });

Live Demo

This demo runs in the web browser! It should automatically fetch the data file and display a table.

This example includes a row count that can be increased or decreased

function StudentAidTotal() {
  const [rows, setRows] = React.useState([]);
  const [num, setNum] = React.useState(5);
  React.useEffect(() => { (async() =>{
    /* parse workbook */
    const url = "https://docs.sheetjs.com/PortfolioSummary.xls";
    const workbook = XLSX.read(await (await fetch(url)).arrayBuffer());

    /* get first worksheet */
    const worksheet = workbook.Sheets[workbook.SheetNames[0]];
    const raw_data = XLSX.utils.sheet_to_json(worksheet, {header:1});

    /* fill years */
    var last_year = 0;
    raw_data.forEach(r => last_year = r[0] = (r[0] != null ? r[0] : last_year));

    /* select data rows */
    const rows = raw_data.filter(r => r[0] >= 2007 && r[0] <= 2024 && r[2] > 0);

    /* generate row objects */
    const objects = rows.map(r => ({FY: r[0], FQ: r[1], total: r[8]}));

    /* display data */
    setRows(objects);
  })(); }, []);
  return ( <>
    <a onClick={()=>{setNum(Math.max(num-5,0))}}>Show Less </a>
    <b>Showing {num} rows </b>
    <a onClick={()=>{setNum(num+5)}}>Show More</a>
    <table>
      <thead><tr><th>Fiscal Year</th><th>Quarter</th><th>Total (in $B)</th></tr></thead>
      <tbody>
        {rows.slice(0, num).map((o,R) => ( <tr key={R}>
          <td>{o.FY}</td>
          <td>{o.FQ}</td>
          <td>{o.total}</td>
        </tr>))}
      </tbody>
    </table>
  </> );
}

Run the Demo Locally

Save the following script to SheetJSStandaloneDemo.html:

{`\

Fiscal Year	Quarter	Total (in $B)

After saving the file, run a local web server in the folder with the HTML file. For example, if NodeJS is installed:

npx http-server .

The server process will display a URL (typically http://127.0.0.1:8080). Open http://127.0.0.1:8080/SheetJSStandaloneDemo.html in your browser.

Install the dependencies:

{\ npm i --save https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz}

{\ bun install https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz}

Save the following script to SheetJSNodeJS.js:

const XLSX = require("xlsx");
(async() => {
  /* parse workbook */
  const url = "https://docs.sheetjs.com/PortfolioSummary.xls";
  const workbook = XLSX.read(await (await fetch(url)).arrayBuffer());

  /* get first worksheet */
  const worksheet = workbook.Sheets[workbook.SheetNames[0]];
  const raw_data = XLSX.utils.sheet_to_json(worksheet, {header:1});

  /* fill years */
  var last_year = 0;
  raw_data.forEach(r => last_year = r[0] = (r[0] != null ? r[0] : last_year));

  /* select data rows */
  const rows = raw_data.filter(r => r[0] >= 2007 && r[0] <= 2024 && r[2] > 0);

  /* generate row objects */
  const objects = rows.map(r => ({FY: r[0], FQ: r[1], total: r[8]}));

  /* print header row*/
  console.log(`FY\tQ\tTotal`);
  /* print tab-separated values */
  objects.forEach(o => {
    console.log(`${o.FY}\t${o.FQ||""}\t${o.total}`);
  });
})();

After saving the script, run the script:

node SheetJSNodeJS.js

bun run SheetJSNodeJS.js

This script will print the rows in tab-separated values (TSV) format:

FY      Q       Total
2007            516
2008            577
...
2013    Q1      961.9
2013    Q2      998.6
2013    Q3      1006.8
...

Save the following script to SheetJSNW.html:

{`\

Fiscal Year	Quarter	Total (in $B)

Save the following to package.json:

{\ { "name": "sheetjs-nwjs", "author": "sheetjs", "version": "0.0.0", "main": "SheetJSNW.html", "dependencies": { "nw": "0.77.0", "xlsx": "https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz" } }}

Install dependencies and run:

npm i
npx nw .

The app will show the data in a table.

:::note Initial Setup

Follow the Environment Setup of the React Native documentation before testing the demo.

:::

:::caution pass

For Android testing, React Native requires Java 11. It will not work with current Java releases.

:::

:::info pass

In React Native, there are a number of ways to display rows of data. This demo uses the native FlatList component.

:::

Create a new project by running the following commands in the Terminal:

{\ npx react-native@0.72.4 init SheetJSSL --version="0.72.4" cd SheetJSSL npm i -S https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz}

Save the following to App.tsx in the project:

import React, { useState } from 'react';
import { Alert, Button, SafeAreaView, Text, View, FlatList } from 'react-native';
import { utils, version, read } from 'xlsx';

const Item = ({FY, FQ, total}) => (
  <View style={{borderColor: "#000000", borderWidth: 1}}>
    <Text style={{fontSize: 12}}>{String(FY)} {String(FQ||"")} : ${String(total)} B</Text>
  </View>
);

const App = () => {
  const [rows, setRows] = React.useState([]);
  React.useEffect(() => { (async() =>{
    /* parse workbook */
    const url = "https://docs.sheetjs.com/PortfolioSummary.xls";
    const workbook = read(await (await fetch(url)).arrayBuffer());

    /* get first worksheet */
    const worksheet = workbook.Sheets[workbook.SheetNames[0]];
    const raw_data = utils.sheet_to_json(worksheet, {header:1});

    /* fill years */
    var last_year = 0;
    raw_data.forEach(r => last_year = r[0] = (r[0] != null ? r[0] : last_year));

    /* select data rows */
    const rows = raw_data.filter(r => r[0] >= 2007 && r[0] <= 2024 && r[2] > 0);

    /* generate row objects */
    const objects = rows.map(r => ({FY: r[0], FQ: r[1], total: r[8]}));

    /* display data */
    setRows(objects);
  })(); }, []);

  return ( <SafeAreaView>
    <View style={{ marginTop: 32, padding: 24 }}>
      <Text style={{ fontSize: 24, fontWeight: 'bold' }}>SheetJS {version} Import Demo</Text>
      <FlatList
        data={rows}
        renderItem={({item}) => <Item FQ={item.FQ} FY={item.FY} total={item.total} />}
        keyExtractor={item => String(item.FY) + (item.FQ||"")}
      />
    </View>
  </SafeAreaView> );
}

export default App;

:::note pass

The Android demo has been tested in Windows and macOS.

:::

Test the app in the Android simulator:

npx react-native start

Once Metro is ready, it will display the commands:

r - reload the app
d - open developer menu
i - run on iOS
a - run on Android

Press a to run on Android.

:::info Device Testing

The demo also runs on real Android devices! After enabling USB debugging¹³, the Android device can be connected to the computer with a USB cable.

:::

:::caution pass

This demo runs in iOS and requires a Macintosh computer with Xcode installed.

:::

Test the app in the iOS simulator:

npm run ios

When the app is loaded, the data will be displayed in rows.

The dataset URL has changed many times over the years. The current location for the CC0-licensed dataset can be found by searching for "National Student Loan Data System" on data.gov. PortfolioSummary.xls is the file name within the dataset. ↩︎
See read in "Reading Files" ↩︎
See "SheetJS Data Model" ↩︎
See "Workbook Object" ↩︎
See "Workbook Object" ↩︎
See "Sheet Objects" ↩︎
See sheet_to_html in "Utilities" ↩︎
See sheet_to_json in "Utilities" ↩︎
See sheet_to_json in "Utilities" ↩︎
See "Merged Cells" in "SheetJS Data Model" ↩︎
See "Column Names" in "Addresses and Ranges" ↩︎
See "Array of Objects" in "ReactJS" ↩︎
See "Running on Device" in the React Native documentation for more details. ↩︎

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Download File

Parse File

Explore Dataset

List Sheet Names

Inspect Worksheet Data

Preview HTML

Extract Data

Extract Raw Data

Fill Merged Blocks

Select Data Rows

Generate Row Objects

Present Data

ReactJS

Vanilla JS

Command-Line Tools

Live Demo

Run the Demo Locally

29 KiB

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