Search Results for "c# plot chart"

...It can be used to show trend data, or comparison of different data sets. XY chart is used to plot points by specifying their XY coordinates. A bar chart provides a way of showing data values represented as vertical bars. A stacked bar chart provides a way of showing data values represented as vertical bars. Display labels near every line (default false). Customize tick numbers you want to see on the main line.

μPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars; from a cold start it can create an interactive chart containing 150,000 data points in 135ms, scaling linearly at ~25,000 pts/ms. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~40 KB, it's likely the smallest and fastest time series plotter that doesn't make use of context-limited WebGL shaders or WASM, both of which have much higher startup cost and code size. ...

Vizzu is a free, open-source Javascript/C++ library utilizing a generic dataviz engine that generates many types of charts and seamlessly animates between them. It can be used to create static charts but more importantly, it is designed for building animated data stories and interactive explorers as Vizzu enables showing different perspectives of the data that the viewers can easily follow due to the animation.

...Just include the JavaScript file after you've included jQuery. You need at least jQuery 1.2.6, but try at least 1.3.2 for interactive charts because of performance improvements in event handling. The plot function immediately draws the chart and then returns a plot object with a couple of methods. The placeholder is a jQuery object or DOM element or jQuery expression that the plot will be put into.

...In order to set the bar width, instead of defining it and the space between the bars independently, we simply define the ratio of the space between bars to the bar width. The chart then adjusts the actual size proportional to the chart container. Line charts are great to show trends. One of the reasons they are interesting is because the data involved usually involves a large number of data points. For so many points, we'd really like to keep the plot as less detailed as we can, while also using the already present color to advantage.