Data visualization techniques aid in the comprehension of data. Graphs, charts, and dashboards not only help to illustrate current trends but also help to create data narratives. They also enable decision-makers to make critical future decisions. In this context, a graph maker is critical to how data is visualized, presented, and, most importantly, comprehended.
In this post, we will look at the vital role of the graph maker. Continue reading to learn more about the FusionCharts graph maker and the types of data presentations it creates. We’ll also demonstrate how to make simple line graphs, column, bar, area, bubble, and scatter graphs with FusionCharts. If you’re specifically interested in scatter graphs, you might want to explore the FusionCharts Scatter Graph Maker for comprehensive data presentations.Table of Contents
A graph maker is an automated tool for visualizing and plotting data. From tens of points to millions of numbers, a graph maker pictorially represents data to communicate an idea or message. Graph makers also help users understand current trends and make future decisions using charts and plots.
Absolutely! FusionCharts is a Javascript library for creating charts, graphs, and dashboards. There are over 100+ charts, graphs, and gauges to choose from. It also ships with 2000+ choropleth maps, that you can use to visualize location-based data. FusionCharts can be a graph maker, allowing you to create various graphs, including scatter plot graphs. Additionally, you can use FusionCharts as an online scatter plot graph maker, enabling you to visualize data points in a scatter plot format.
FusionCharts requires no special coding skills. All you need to do is put your data and chart configuration in a JSON object and you are good to go. There is almost no learning curve to the FusionCharts scatter graph maker.
FusionCharts has a wide variety of charts and graphs to choose from depending upon your data.
Bubble charts effectively demonstrate 3D data. You can analyze relationships between data values as well as gain insights over patterns and trends in your data. A scatter chart shows the relationship between two variables and how they vary with respect to each other. So, if you’re looking to create scatter graphs, you might consider using a scatter graph maker to easily plot and analyze your data.
There is a comprehensive set of options for specialized charts that include pie and doughnut charts, stacked charts, combination charts, Pareto charts, Sankey charts, chord charts, market share charts, and more.
Just to illustrate how simple and easy it is to create graphs and charts in FusionCharts, here is a simple example. The following is a line chart created using FusionCharts:
You can copy the code given below in a .html file and open it in your browser. All that you need in this HTML file is your data points and the graph configuration as JSON objects.
<html>
<head>
<title>FusionCharts</title>
<h1>My first Line Chart</h1>
<h2>With Awesome FusionCharts Library</h2>
<!-- Include fusioncharts core library -->
<script type="text/javascript" src="https://cdn.fusioncharts.com/fusioncharts/latest/fusioncharts.js"></script>
<!-- Include fusion theme -->
<script type="text/javascript" src="https://cdn.fusioncharts.com/fusioncharts/latest/themes/fusioncharts.theme.fusion.js"></script>
<script type="text/javascript">
const dataSource = {
chart: {
caption: "Average Fastball Velocity",
yaxisname: "Velocity (in mph)",
subcaption: "[2005-2016]",
numbersuffix: " mph",
rotatelabels: "1",
setadaptiveymin: "1",
theme: "fusion"
},
data: [
{
label: "2005",
value: "89.45"
},
{
label: "2006",
value: "89.87"
},
{
label: "2007",
value: "89.64"
},
{
label: "2008",
value: "90.13"
},
{
label: "2009",
value: "90.67"
},
{
label: "2010",
value: "90.54"
},
{
label: "2011",
value: "90.75"
},
{
label: "2012",
value: "90.8"
},
{
label: "2013",
value: "91.16"
},
{
label: "2014",
value: "91.37"
},
{
label: "2015",
value: "91.66"
},
{
label: "2016",
value: "91.8"
}
]
};
FusionCharts.ready(function() {
var myChart = new FusionCharts({
type: "line",
renderAt: "chart-container",
width: "100%",
height: "100%",
dataFormat: "json",
dataSource
}).render();
});
</script>
</head>
<body>
<div id="chart-container"></div>
</body>
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