Big data is everywhere, and as a result, visualization tools are in high demand. Data visualization allows you to easily spot trends and patterns that might otherwise go unnoticed.

The problem is there are so many different tools out there, so selecting the right one for your business can be challenging. If you’re looking for the best data visualization tool for your business, this guide will help you find it.

In this article, we’ll explore 15 of the top tools on the market along with examples of each to help you narrow down your options and make an informed decision. What Is Data Visualization? Data visualization is a way to convey information using visual elements like charts, graphs and maps.

The purpose is to take large amounts of data and present it in a way that’s easy to understand at a glance. It’s also an excellent way to communicate key messages across entire organizations.

Why Is Data Visualization Important? Data visualization is an essential part of any successful business strategy because it makes it easier for employees, clients and shareholders to understand complex data sets quickly. Effective data visualization allows you to better track progress toward goals, make smarter decisions based on real-time information and give team members actionable insights into their performance.

Data Visualization Tools – Introduction

Data visualization tools are a type of graphic and information representation that has the purpose of presenting data in a way that is easier to understand. They often include options to filter, sort, and compare data, as well as display it in a number of ways.

Their main purpose is to make analyzing large amounts of data much easier by reducing it to a visual representation that is not only easier for the brain to process, but also more engaging and interesting. Data visualization tools have become incredibly popular over the years, particularly with the advent of big data and its role in business.

As such, there are now many different types of tools available for different industries and purposes. Some examples include: Dashboards – these have become very popular as they display information from multiple sources in one place, usually with interactive elements like graphs or charts.

They’ve become so popular in fact that some refer to them as “the new spreadsheets”! Data Visualization Tools for Big Data – these are similar to dashboards but instead deal with big data specifically. This means they can handle massive amounts of data at once, including unstructured and real-time data.

Some companies use their own proprietary software while others use open source programs like Tableau Software’s

What Are the Best Data Visualization Tools?

Data visualization is the secret to good analytics. It’s easy to get lost in data, and it’s easy for it to look like a jumbled mess. Visualization is the key to making sense of it all.

But what tools should you use? There are plenty of options out there, and they vary widely in complexity and price. The right choice will depend on your experience, what you want to accomplish, and how much time you want to spend on it.

Here’s a quick rundown of some of the best data visualization tools available today, along with their relative strengths and weaknesses. Microsoft Excel This is where most people start, and there’s a good reason for that — Excel is easy to learn and has a lot of power.

It comes with many built-in templates for common types of visualizations, including line graphs, column charts and bubble diagrams. Best of all: Anyone can get it for free by signing up for Microsoft 365 Personal or Family.

For basic purposes like creating bar charts or heat maps, Excel can be totally sufficient. But if you need more advanced capabilities, like creating custom graphs on the fly or working with massive amounts of data without slowing down your computer, then you’ll

1. Zoho Analytics

Zoho Analytics is an online business intelligence (BI) and analytics platform to understand your business data better and make informed decisions. It allows you to transform your data into insights by creating interactive visualizations, intuitive dashboards, insightful reports, and engaging stories.

Zoho Analytics also helps you share your insights with others and collaborate on data analysis by allowing them to comment or edit the reports/dashboards. Zoho Analytics also comes with a mobile app that enables you to access your reports/dashboards in a mobile device, anytime, anywhere.

Integrate Zoho Analytics with other popular apps like Gmail, MailChimp, Google Drive, Google Calendar, Outlook, Salesforce etc., to get a unified view of your business data from all these applications. You can also integrate your databases like MySQL or any database that supports ODBC connection or JDBC connection.

Analytics Apps: – Zoho Analytics for Salesforce – Track your sales performance and visualize it on Zoho Analytics dashboards within Salesforce itself. – Zoho Analytics for MailChimp – Track the performance of your email campaigns in real time and improve the quality of leads generated from them.

Features

Easy to use BI and reporting tool. Powerful data ingestion, modeling and enrichment.

Drag-and-drop report builder with multiple visualization options. Collaborate on reports through comments and annotations. Predictive analytics with machine learning models.

Embedded dashboards in Web and Mobile Apps. Powerful embeddable charts in your website or blog.

Pros

Zoho Analytics Pros There are a few features of Zoho Analytics that make it stand out in comparison to other options.

1. Zoho Analytics offers a comprehensive, cloud-based data warehouse. There is no limit on the number of users, databases or queries with the unlimited plan.
2. Zoho Analytics is an extremely affordable solution for businesses.

2. Databox

It’s not just for ecommerce. Databox was created to help businesses of all sizes measure the impact of their marketing and sales efforts across the entire company.

Gaining visibility into what is working (and what isn’t) is critical to improving your results and growing your business. One place to track everything that matters. Databox makes it easy to see and share the data you need to make better decisions.

We integrate with hundreds of apps so you can quickly roll up the most important data from across your organization in one place. We’re here to help you grow faster. Databox helps companies grow faster by making it easy for anyone in your company to see and understand the performance of their marketing, sales and operations efforts in real-time.

Databox transforms your business data into insights that lead to action. Transform all your KPI’s into a single business dashboard and get the insights you need to grow your business. Databox is the easiest way to track, visualize and share your key performance indicators.

Connect to over 50+ data sources, create unlimited custom metrics and build dashboards that matter to you and your team.

Features

Databox offers a wide range of features to help you manage your marketing team and make better decisions. Analytics Integration: We offer integrations with all the major analytics, marketing, and sales platforms — Google Analytics, Facebook, HubSpot, MailChimp, Salesforce, and many more.

We are also one of the only analytics dashboards that support data from Amazon Redshift. Custom Data Sources: In addition to our native Google Analytics integration, we also support custom data sources that can include any data that can be pulled into a CSV file or spreadsheet.

In this way, you can track almost any metric you want including CRM reports, accounting reports, JSON files and more. Data Cleaning: Using our custom formulas feature, you can clean your data before it is displayed in your dashboard in order to remove unnecessary decimal places or add additional calculations.

You can also use this feature to calculate the difference between two numbers or percentage change over time. Data Visualization: Databox offers a number of visualization options including line charts, column charts (both stacked and unstacked), pie charts and more. You can combine these types of visualizations within a single chart view as well as create multiple chart views within a single Metric

Pros

Databox pros: You can integrate with any data source. This means you can collect all the data you need to monitor your marketing performance in one place, rather than having to jump between different analytics platforms.

The interface is user-friendly and very easy to navigate. You can add as many metrics as you want and still have a clean dashboard.

You can easily customize the dashboards that you create. You can also share them with your team or clients using a private link. Databox Pros: You Can Integrate With Any Data Source

Databox allows you to integrate 100+ data sources, so you are not limited to tracking only Google Analytics and Facebook Ads. For example, you can connect your email marketing tool, Hubspot CRM, and even your accounting software.

This means that you don’t have to waste time jumping from one platform to another just to review your marketing performance. You get all the data that you need in one place.

Databox Pros: The Interface Is User-Friendly And Very Easy To Navigate Even if you want to add as many metrics as possible on your dashboard, it will remain clean and uncluttered because of the way the widgets are designed. Also, navigating through the app

3. Tableau

Tableau is a business intelligence software that allows anyone to connect to data, then visualize and create interactive, sharable dashboards. It’s easy enough that any Excel user can learn it, flexible enough to handle any amount of data, scalable enough to fit the needs of any organization, and powerful enough to analyze anything.

Tableau is a tool for everyone. It’s powerful without being complicated. It’s not just for analysts or techies anymore.

You don’t have to be a statistician or computer programmer. You don’t have to be an expert at writing SQL queries. You don’t need a degree in math or statistics

The Tableau product family starts with Tableau Desktop and Tableau Prep Builder, which are designed for individual use. When you want to share your work with others, you can publish it to Tableau Server or Tableau Online (cloud-based Tableau Server).

Tableau Desktop and Tableau Prep Builder allow you to connect directly to data stored on your computer or on a network drive (Local), or in the cloud (Cloud). When you publish your workbooks and data sources from these products to either of the two server products, you can share them securely with other people within your

Features

Tableau is a data analytics and visualization tool that can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Tableau Desktop – This is a data analysis product, used by analysts to connect to files or databases and then analyze the data using common charts and graphs. Tableau Server – Used by organizations to share Tableau Desktop visualizations over the internet, this product allows for publishing of visualizations for others to see, as well as scheduling automatic updates of the data behind those visualizations.

Tableau Online – Similar to Tableau Server but hosted in the cloud by Tableau, it allows organizations without IT departments or IT resources to share Tableau Desktop visualizations. Tableau Reader – A free tool which allows users to read Tableau Desktop visualizations saved in .tde format.

Tableau Public – Also free, this tool is used by individuals to publish public data online in an interactive format.

Pros

Tableau is a great tool. It offers a wide array of functionality, and it is easy to use and learn. This post will highlight some aspects of Tableau that are particularly useful to me. Data Blending The ability to blend data in Tableau is a huge reason why I love it. The ability to blend on anything is invaluable.

It lets me combine data from multiple sources into one visualization. In my case, this can be useful for combining survey responses from Qualtrics or Survey Monkey with demographic data from the Census API.

Joining Data Joining is another neat feature that Tableau has. Although most of the time I prefer blending, joining is sometimes easier than setting up a data blend, especially if there are only 2 sources of data involved and one of the sources does not change very often (for instance, if you have survey responses from Qualtrics and an Excel file with demographic info about the survey respondents).

Calculated Fields Tableau allows for the creation of calculated fields based on other fields in your data set, as well as custom formulas (in addition to being able to summarize by any measure). To add more flexibility, calculations can be nested within each other.

In short, Tableau provides a lot of

4. Infogram

Infogram is a visualization platform that allows anyone to easily create charts, graphs and infographics. Create professional charts, maps and infographics in minutes. With Infogram, you can create beautiful charts and infographics with the help of over 400 interactive maps, 70 chart types and easy-to-use templates.

Our easy-to-use platform enables you to quickly share your data with colleagues, clients or on social media. You can also embed your visuals on website or blog. Infogram is used by more than 2 million users around the world; including government agencies, educational institutions and businesses of all sizes.

Infogram was founded in 2012 by Raimonds Kaže and Uldis Leiterts, who wanted to make it easy for anyone to create charts and infographics from data. In 2013, Infogram launched its first product – an online platform for creating visualizations.

Since then, Infogram has grown exponentially, now serving more than 2 million users from over 200 countries around the globe. Infogram’s mission is to democratize data visualization across the web.

Infogram is the easiest way to create and share beautiful infographics, reports, charts and maps. We empower organizations to tell their stories on any device or platform. Simply put, we make data beautiful.

https://infogr.am/

Features

Infogram provides a wide range of options for creating charts, maps, and infographics in minutes. You can also use our editor to upload and customize your own design or take advantage of one of our infographic templates.

Charts, graphs, and maps We offer a variety of different chart types to meet every need: bar graph, line graph, pie chart, area graph, stacked column, Venn diagram and more. All are custom-designed by professional designers to make your presentation stand out.

Presentations Create interactive presentations with Infogram in minutes. Make them embedded and shareable or download as a PDF file.

Infographics Use the Infogram editor to create beautiful infographics that combine images, text and charts into an eye-catching design. Or choose from hundreds of infographic templates that are ready to customize and go.

Pros

The Infogram Pro account is designed for users who need to: Create and edit charts and maps with additional customization options Consolidate all their charts under one account Get access to more data sources Make their charts private when embedding them on a website or blog Upload custom maps, images, and logos Access more fonts, templates, colors and themes Post unlimited posts to social media channels (Facebook, Twitter) directly from Infogram.

5. ChartBlocks

ChartBlocks is a lovely tool for creating charts and graphs on the fly, and any reasonably-experienced designer can get up to speed with it in less than an hour. The interface is straightforward and intuitive; once you’ve signed up for a free account (or paid one) you’re up and running.

You don’t need to install anything there’s no Flash or Java involved; everything runs in your browser. You can choose from a number of different chart types, including line, area, column and bubble charts.

There are also more specialist chart types such as sunburst, Venn diagrams and treemaps. Your data can be imported from Google Spreadsheets or Excel files; simply drag your files onto the interface to import data.

Alternatively, you can type it out directly into the ChartBlocks interface (in which case you might want to keep a backup of your work saved locally). You can preview your data at any time by clicking the Preview tab. This can be especially useful if you’re working with large datasets that might be causing performance issues.

Features

Unleash your creativity with our easy-to-use tool for creating charts. Our drag and drop interface gives you complete control over how your charts look and function. Choose from the best chart types. Our clean, modern design lets you pick from bar, line, area, pie and scatter charts. You can also create your own custom chart type with our tools.

Import data from anywhere. You can import data directly from Excel or Google Spreadsheets or upload a CSV or TSV file to create a chart. You can also import data directly from an API or database query via our DataSet system.

Bring your data to life with animation and interactivity. Add beautiful animations to your charts just by ticking a box. You can also add interactive features like tooltips and data tables allowing users to explore your data in more detail.

Pros

ChartBlocks Pros User friendly Easy to use and easy to share. Affordable Costs a fraction of the price of other services.

Unlimited data sets Add as many data sets as you like, with no restrictions on the size of your data. Customizable charts

6. Datawrapper

If you want to visualize data, Datawrapper is the tool for you. All it takes is a few clicks to create a line chart or bar graph and publish it on any platform.

Data visualization is a great way to communicate information in a simple, easy-to-understand format. It’s particularly useful for presenting insights from market research such as survey data.

Although there are many different tools you can use to create charts and graphs, they can be difficult to learn and turn out pixelated images that don’t look professional. Datawrapper solves these problems by offering easy-to-use tools that generate high-quality charts that scale well.

Datawrapper is a tool specifically designed to make the process of creating charts and maps as simple as possible. It is an open tool, and you can use it for free on the web.

Datawrapper is a web application that makes it easy to create charts and maps. Our mission is to make data visualization easier, not just for professional journalists, but for everyone.

Features

Tables Highlight and compare values in a table A great way to show data in rows and columns. Tables are good for showing a lot of numbers, especially when you want to highlight certain rows or columns.

They’re also good for highlighting differences between your data. Bar charts The most popular chart type: Bar charts are simple and easy to understand Bar charts are the most common chart type. People easily understand how different bars compare to each other.

That’s why they’re the best choice if you want to show the relationship between different categories of data. Line charts Show trends over time with line charts Line charts can show a trend over time (or over any other category you have).

They work best when there’s a big difference between each value. Some examples: Number of people using your product, stock prices, temperature changes, birthrates, or the number of items sold per day/week/month/year.

Pie charts Show the distribution of one category with pie charts Pie charts are best used to show how much each group (or major part) contributes to an amount. For example, you can use pie charts to display how different categories of products contributed to total sales last year. Or you could use them to show howPros

Pros

1. It is easy to use, and with some practice, I can make a great looking chart in minutes.You can upload data in multiple formats and can analyze your data right on the website.
2. Great support resources and intuitive user interface. The charts are responsive and look great while being shared via social media or emails.
3. You can add charts to your website directly using the embed code (You don’t have to be a programmer). It has a built-in functionality to share your chart online easily.

7. Plotly

Plotly is a free and open-source graphing library for Python. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

Get started with Plotly’s Python graphing library to make interactive, publication-quality graphs online. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts.

Python has a number of powerful plotting libraries to choose from. Although many fundamental data processing functions exist in R, they have been a bit convoluted to date and have lacked consistent coding and the ability to easily flow and process data from one step of analysis to the next.

For this reason, I’ve recently switched my work over primarily to Python and will be working on creating more tutorials about my workflow. If you’re interested in learning more about python, I highly suggest checking out DataCamp’s free Intro to Python for Data Science course. The plot below was created by this code:

import plotly.plotly as py import plotly.graph_objs as go

Features

Plotly’s Python graphing library makes interactive, publication-quality graphs. Online and offline plotting You can use Plotly’s python API to plot inside your Jupyter Notebook by calling plotly.plotly.iplot() or plotly.offline.plot().

Embedding Maps & Graphs in RMarkdown We have an R package for working with Plotly’s R API. See their documentation here. Embedding Maps & Graphs in IPython Notebooks IPython notebooks are great for interactive exploration, but they’re not the best choice when it comes to presentation or sharing your work. We have a Python package for working with Plotly’s Python API. See our documentation here to learn more!

Pros

Many users start with Plotly Express, but we recommend moving away from it and using the full Plotly Python package. Here are some reasons why: Plotly Express is a terse, consistent, high-level wrapper around Plotly.py that exposes a simple syntax for complex charts.

The chart-studio package can be used to upload plotly figures to Plotly’s Chart Studio Cloud or On-Prem services. Plotly.py is a separate library than plotly which provides an interactive graphing library for Python.

It is built on top of d3.js and plotly.js and can be used to create many different types of visualization including statistical charts, 3D graphs and more! This library can be installed with pip: pip install plotly .

Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python , R , MATLAB , Perl , Julia , Arduino , and REST .

8. Visually

Visually is the easiest, most beautiful way to create and share powerful visuals. Create and market visual content that tells your brand story and increases audience engagement across devices.

We help you connect with your audience through visual storytelling by creating custom infographics, data visualizations, custom presentations, branded video and interactive content.

Our research (and experience) shows that visuals increase time on page by 94%, shares by 90%, views by 65% and engagement by 32%. Your eye is drawn to the bright red, and the blue and green. The text is white, so it pops off of the page.

The woman’s face and the color of her clothes make her stand out against the background. Your eye goes to what stands out. And that’s not a coincidence. This is how we’re wired — we notice what stands out in our field of vision because it could be a threat or an opportunity.

This is why images are so important on your website, presentations, social media posts, etc.

Features

We are excited to announce that Visually is a finalist for the 2013 Crunchies awards, the tech industry’s leading startup awards program.

We are in the running for Best Startup of the Year and Best Collaborative Consumption Service of the Year. We are up against some great companies and thought leaders, including: Best Startup of the Year

• Dropbox
• Etsy
• Evernote
• Pinterest
• Square
• Uber

Best Collaborative Consumption Service:

• Airbnb
• Airbnb for Work (new!)
• Lyft
• Sidecar

Pros

Visually Pros Easy to access: Visually is integrated with all major social media platforms and has a mobile app. This makes it very easy to access and share visually right from your phone.

Great tools: Visually has a variety of tools that make the creating process much easier including a storyboarding tool, inspiration boards, drag and drop design tool, and a content calendar.

Tons of templates: Visually has thousands of templates. This means you can find exactly what you’re looking for and then simply swap in your own photos/logo to customize it. High quality images: Visually has a huge library of images to choose from and high quality photographers.

You can also request specific images for your project if you don’t find what you’re looking for in the library. Large community: With over 100,000 creators on Visually all around the world, there are plenty of options for finding the right person to create what you need.

9. D3.js

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.

D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers.

Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction. D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data.

This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as CSS3 and HTML5. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and third party components.

Features

D3.js Features: D3.js is a JavaScript library that allows data to be represented as a collection of nodes that are connected to one another. The strength of the connections between these nodes represents the magnitude of the relationships between data objects.

In this visualization, nodes can be clicked to expand and collapse them, and edges can be dragged to reposition them. Data objects can be filtered in and out of the visualization, which is useful for highlighting specific subsets of related objects.

These filters can also be nested to create arbitrarily complex graphs.

Pros

1. D3.js is easy to learn
2. D3.js can handle large datasets easily
3. D3.js has a feature of dynamic property which allows you to execute data-driven transformation on a web page
4. D3 library also offers great flexibility which means you can use it in conjunction with other JavaScript libraries and frameworks such as Angular, React and VueJS

10. Ember Charts

Ember Charts is a charting library built with the Ember.js and d3.js frameworks. It includes time series, bar, pie, and scatter charts which are easy to extend and modify. The out-of-the-box behavior these chart components represents our thoughts on best practices in chart interactivity and presentation.

Our goal with Ember Charts is to provide a library of standard chart types that can be composed into more complex visualizations. For example, imagine an “upgrade” button that changes a simple bar chart into an interactive time series chart. This composability is one of the primary benefits of this library

Ember Charts is a charting library built with the Ember.js and d3.js frameworks. It includes time series, bar, pie, and scatter charts which are easy to extend and modify. The out-of-the-box behavior these chart components represents our thoughts on best practices in chart interactivity and presentation.

The Ember Charts project is an attempt to build a common set of reusable charts and components for the Ember.js community to use.

Features

Ember Charts is a charting library built with the Ember.js and d3.js frameworks. It includes time series, bar, pie, and scatter charts which are easy to extend and modify. The out-of-the-box behavior these chart components represents our thoughts on best practices in chart interactivity and presentation.

Ember Charts is designed to be customized: all the details can be changed by passing in a new options object when creating the chart. If you’re looking for something different, it’s easy to make changes:

Every component can be extended via Object Oriented JavaScript techniques or by using mixins. You can customize the appearance of each component by overriding CSS stylesheets that come packaged with the library.

Every component has options that customize its appearance and behavior in-depth.

Pros Pros of Ember Charts:

Ember Charts is a charting library built with the Ember.js and d3.js frameworks It includes time series, bar, pie, and scatter charts which are easy to extend and modify The out-of-the-box behavior these chart components represents our thoughts on best practices in chart interactivity and presentation

The charts are easily customizable using CSS. Ember Charts is based on the excellent work done by the D3.js community, including Mike Bostock’s D3.js and nvD3.js

11. NVD3

NVD3 is a data visualization library, and is used to create the charts you see on this website. NVD3 uses d3.js under the hood, and provides an intuitive interface for creating reusable charts and components.

If you’re not familiar with d3.js, it’s best to first check out our simple bar chart example and then take a look at the complex bar chart. If you’re familiar with D3, you won’t have any trouble using NVD3 in your next project.

The library also uses nvd3-community for commonly used chart types (such as linePlusBarChart) that are not included in the main library (lineWithFocusChart). VD3 Re-usable charts for d3.js This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power that d3.js gives you.

This is a very young collection of components, with the goal of keeping these components very customizeable, staying away from your standard cookie cutter solutions. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.

Features

The NVD3 library is amazing and super flexible. Here are some of the features you can use:

1. Reusable charts
2. Animated transitions
3. Multiple X,Y axes
4. Canvas and SVG Rendering
5. Chart types: Line, Bar, Stacked Area, Pie, Donut and Scatter Plots
6. Date formatting on the time scale
7. Customizable tooltips (HTML)
8. Mouseover highlights
9. Zoomable area

Pros

NVD3 Pros For those of you who don’t know, NVD3 is a D3-based charting library for AngularJS and React.js that allows you to create reusable charts with a higher level of customization than most libraries offer. NVD3 comes with some great features:

Reusable charts Smooth transitions Customizable styles Easy to integrate with other libraries like Angular and React NVD3 Cons Despite the pros mentioned above, there are also some cons to NVD3. Here are a few common issues you’ll encounter when working with NVD3:

Difficult to customize and style certain chart components (e.g., tooltips, axis labels) out of the box. This means more time spent trying to figure out how these components work so you can customize them.

You can always refer to the documentation, but it’s not very extensive in some areas. I found myself looking for answers on Stack Overflow more often than I would have liked.

12. Google Charts

Google Charts provide a perfect way to visualize data on your website. From simple line charts to complex hierarchical tree maps, the chart gallery provides a large number of ready-to-use chart types.

The most common way to use Google Charts is with simple JavaScript that you embed in your web page. You load some Google Chart libraries, list the data to be charted, select options to customize your chart, and finally create a chart object with an id that you choose. Then, later in the web page, you create a