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Charted

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ggplot2

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Charted vs ggplot2: What are the differences?

What is Charted? A charting tool that produces automatic, shareable charts from any data file. Charted is a tool for automatically visualizing data, created by the Product Science team at Medium. Provide the link to a data file and Charted returns a beautiful, interactive, and shareable chart of the data.

What is ggplot2? A data visualization package for the statistical programming language R. It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.

Charted and ggplot2 can be categorized as "Charting Libraries" tools.

Some of the features offered by Charted are:

  • Rendering well on all screen sizes, including monitors
  • Re-fetching the data and updating the chart every 30 minutes
  • Moving data series into separate charts

On the other hand, ggplot2 provides the following key features:

  • Axis titles
  • Tickmarks
  • Margins and points in ggplot2 look cooler

Charted and ggplot2 are both open source tools. It seems that ggplot2 with 4.04K GitHub stars and 1.51K forks on GitHub has more adoption than Charted with 2.74K GitHub stars and 198 GitHub forks.

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What is Charted?

Charted is a tool for automatically visualizing data, created by the Product Science team at Medium. Provide the link to a data file and Charted returns a beautiful, interactive, and shareable chart of the data.

What is ggplot2?

It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.

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    What are some alternatives to Charted and ggplot2?
    Pound
    Pound was developed to enable distributing the load among several Web-servers and to allow for a convenient SSL wrapper for those Web servers that do not offer it natively.
    Chart.js
    Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
    D3.js
    It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.
    Highcharts
    Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
    Matplotlib
    It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
    See all alternatives