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Charts are graphical representations of data, in which "the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart". Charts can represent tabular numeric data, functions or some kinds of qualitative structure and provides different info. |
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Charts are a powerful tool for visualizing data because they provide a visual context that makes complex data more understandable. Here are some great reasons to use charts: Visually, charts helps to simplify complex data. Charts can transform large amounts of complex data into a format that is easier to understand and analyze. They help to identify patterns, trends, and outliers within large datasets. Charts allow for quick comparison of different data points, making it easy to see how they relate to one another. If developers create charts for their appplications to showcase data, that is an effective way to communicate data insights to others, especially those who may not be experts in the field. By providing a clear picture of the data, charts can help stakeholders and decision-makers to make informed choices.
In summary, charts are essential in data visualization because they help to make sense of the data, communicate findings, and support strategic decisions. They turn numbers and data into powerful stories that can motivate teams, impress stakeholders, and drive business growth. Lastly, charts help make data beautiful to your audience, and because the data look less daunting, the folks looking at charts that you create have a better understanding of the data and are more likely to ask question, participate in the conversation, if data are being presented at a meeting. The following are different platforms options and types of charts that developers can use to visualize and present data.
Google Charts offer a rich gallery of interactive chart types. Some examples of the charts types Google provide are a Scatter Chart which helps to Visualize data points on a two-dimensional plane, a Line Chart that Displays data as a series of points connected by straight lines, a Bar/Column Chart Compares data across different categories using vertical or horizontal bars, Area Charts Show data trends over time with filled areas under the curve, a Pie Chart Represents proportions of a whole, a Donut Chart is Similar to a pie chart but with a hole in the center, lastly, an Org Chart which Displays hierarchical structures like organizational charts.
These charts are based on pure HTML5/SVG technology, which ensures cross-browser compatibility without requiring additional plugins or software. Developers can configure an extensive set of options to match the look and feel of their websites. Make the charts your own by adjusting colors, labels, fonts, and other visual elements. Better yet, plug database data into these charts and see them pop. Dynamic Data is the next best thing, Connect charts to your data sources in real time using various data connection tools and protocols. Google Charts allow you to create interactive dashboards by combining charts and controls. Use the same chart tools that Google uses, completely free of charge. Google guarantees three years of backward compatibility. Remember, Google Charts are a fantastic way to enhance your website with visually appealing and informative data visualizations.
JFreeChart is a comprehensive and widely used open-source chart library for the Java programming language. It enables developers to create a wide variety of highly interactive and customizable charts for both web and desktop applications. JFreeChart supports a wide range of chart types, including but not limited to line charts, bar charts, pie charts, scatter plots, Gantt charts, and more. It offers a consistent and well-documented API that is flexible and easy to extend, catering to specific needs and requirements. JFreeChart can render charts to Swing components, JavaFX components, and various image file formats such as PNG, JPEG, as well as vector graphics formats like PDF, EPS, and SVG.
The JFreeChart library at least requires Java 8 or later and is compatible with both server-side and client-side applications. JFreeChart is distributed under the terms of the GNU Lesser General Public License (LGPL), allowing it to be used in proprietary applications. The project was initiated by David Gilbert in February 2000 and continues to be actively managed with contributions from a diverse community of developers. For developers looking to integrate charting capabilities into their Java applications, JFreeChart is a robust solution that combines versatility with ease of use.
Tableau is a powerful and versatile data visualization platform widely used for creating a wide range of interactive and shareable dashboards. It helps users to see and understand data, transforming the way people use data to solve problems. Here is how Tableau can be used to consume data: Tableau connects to almost any data source like databases, spreadsheets, cloud services, and even big data solutions. Users can combine multiple sources without writing code. With Tableau Prep, users can clean and shape data easily. It offers a visual and direct way to combine, shape, and clean data, making it ready for analysis. Tableau's drag-and-drop interface allows users to explore data naturally. The 'Show Me' feature suggests the best visualizations based on the data you’ve selected. Users can create a variety of visualizations from basic bar charts to complex scatter plots and maps. Tableau's flexibility allows for the customization of dashboards to fit specific needs. Tableau's powerful analytics allow for deep insights.
From trend analyses to predictions, Tableau can handle complex statistical analysis with ease. Dashboards can be shared with others using Tableau Server or Tableau Online. This allows for collaborative data-driven decision making. End-users can interact with the visualizations through filters, drilling down, and exploring data in a self-service manner. Tableau’s Hyper technology enables fast access to data, such as files in Amazon S3 buckets, allowing for efficient analytics on large datasets. Tableau's approach to data consumption is user-friendly and highly efficient, making it a popular choice for businesses and individuals looking to make the most out of their data. Whether you’re a data analyst or a business user, Tableau provides the tools to help you understand and visualize your data in a meaningful way.
Chart.js is an open-source JavaScript library that provides a simple yet flexible way to create interactive and responsive charts for websites and web applications. It is particularly helpful for developers creating websites and web apps, here are several reasons: Chart.js has a straightforward syntax and uses the HTML5 canvas element for rendering charts, making it accessible for developers with varying levels of experience. Charts created with Chart.js automatically adjust to the size of the container, ensuring that they look great on both desktop and mobile devices. Developers have control over the aesthetics of the charts, including colors, borders, animations, and more, allowing for a high degree of personalization. Chart.js supports a wide range of chart types, such as line, bar, radar, doughnut, pie, polar area, bubble, and scatter, catering to different data visualization needs.
The Chart.js library is optimized for performance, capable of handling large datasets and rendering them smoothly. Being open-source, Chart.js has a strong community that contributes to its development, providing a wealth of resources, plugins, and extensions. Chart.js offers comprehensive documentation and a variety of samples to help developers get started and to showcase what’s possible with the library. It can be easily integrated with various frameworks and platforms, making it a versatile choice for many web development projects. Overall, Chart.js is a powerful tool in a developer’s toolkit for creating data visualizations that are both beautiful and functional, enhancing the user experience on websites and web apps. There are a number of other chart platforms available for developers building applications and for business needs to visualize data. Some are open-source, free to use or commercial based. We are only covering the above in this article. We hope you this was enough information to start you on your journey to visualize data.
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Download in computer networks, means to receive data from a remote system, typically a server, such as a web server, an FTP server, an email server, or other similar systems. This contrasts with uploading, where data is sent to a remote server. A download is a file offered for downloading or that has been downloaded, or the process of receiving such a file.
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| How to Create CSS Webpages | How to Create HTML5 Webpages | How to Create jQuery Webpages |
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| How to Create Ajax Webpages | How to Create JSON Webpages | How to Create PHP Webpages |
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Döcu Content - Google Chart Dashboards | [PDF] | [Web] |
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| Döcu Content - Google Column Chart | [PDF] | [Web] | |
| Döcu Content - Google Line Chart | [PDF] | [Web] |
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Döcu Content - Google Pie Chart | [PDF] | [Web] |
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| Döcu Content - Google Chart Cross Browser | [PDF] | [Web] | |
| Döcu Content - Google Chart Dynamic Data | [PDF] | [Web] |
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