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  2. Google Chart API - Wikipedia

    en.wikipedia.org/wiki/Google_Chart_API

    The Google Chart API is a non-interactive Web service (now deprecated) that creates graphical charts from user-supplied data. Google servers create a PNG image of a chart from data and formatting parameters specified by a user's HTTP request. The service supports a wide variety of chart information and formatting.

  3. Google Sheets - Wikipedia

    en.wikipedia.org/wiki/Google_Sheets

    Google Sheets is a spreadsheet application and part of the free, web-based Google Docs Editors suite offered by Google. Google Sheets is available as a web application; a mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft Excel file formats. [5]

  4. x̅ and R chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_R_chart

    As with the ¯ and s and individuals control charts, the ¯ chart is only valid if the within-sample variability is constant. [4] Thus, the R chart is examined before the x ¯ {\displaystyle {\bar {x}}} chart; if the R chart indicates the sample variability is in statistical control, then the x ¯ {\displaystyle {\bar {x}}} chart is examined to ...

  5. Wikipedia:Graphs and charts - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

    The Google Chart API allows a variety of graphs to be created. Livegap Charts creates line, bar, spider, polar-area and pie charts, and can export them as images without needing to download any tools. Veusz is a free scientific graphing tool that can produce 2D and 3D plots. Users can use it as a module in Python.

  6. Google Charts - Wikipedia

    en.wikipedia.org/wiki/Google_Charts

    Google Charts is an online tool that is used to create charts and graphs. It uses HTML5 and SVG to function on multiple browsers and devices without extra plugins or software. It is known for its wide range of chart options and features, which are explained on the official Google Charts website. [1]

  7. Exponential smoothing - Wikipedia

    en.wikipedia.org/wiki/Exponential_smoothing

    Exponential smoothing or exponential moving average (EMA) is a rule of thumb technique for smoothing time series data using the exponential window function.Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign exponentially decreasing weights over time.

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  9. Template:Climate chart/How to read a climate chart - Wikipedia

    en.wikipedia.org/wiki/Template:Climate_chart/How...

    Climate charts provide an overview of the climate in a particular place. The letters in the top row stand for months: January, February, etc. The bars and numbers convey the following information: The blue bars represent the average amount of precipitation (rain, snow etc.) that falls in each month. The blue numbers are the amount of ...