data-visualization

What is the difference between D3.js and Cytoscape.js? Why would someone choose Cytoscape over D3.js? D3 is for charts and mostly static graphs. Cytoscape.js lets you manipulate highly-customisable and interactive graphs, and has an API as easy to use as jQuery. D3 is for arbitrary SVG . This means that although it can be used to make lots of different things, you have to build the renderer, interaction, and model yourself. Sometimes that's what you need. (Note SVG tends not to be able to performantly render highly complex scenes with lots of SVG elements, so evaluate your app's requirements

[ Update: Although I've accepted an answer, please add another answer if you have additional visualization ideas (whether in R or another language/program). Texts on categorical data analysis don't seem to say much about visualizing longitudinal data, while texts on longitudinal data analysis don't seem to say much about visualizing within-subject changes over time in category membership. Having more answers to this question will make it a better resource on an issue that doesn't get much coverage in standard references.] A colleague just gave me a longitudinal categorical data set to look at

I am a devoted R (r-project.org) user, and love infographics. I just came across this article: http://www.noupe.com/design/fantastic-information-architecture-resources.html Giving a long list of resources for information designers. And it raised in me the desire to do more beautiful (not just informative) R plots. Do you have any suggestion/resources on how to make this leap? What books/software/skills do I need to have/develop in order to be able to make beautiful infographics? Here's a list of resources that I would suggest: Tufte's books are really excellent, although my favorite is

I have 2 charts: chart1 and chart2 . I want both charts to have same innerPlotSize and location . But chart1 has a secondary yaxis. This does NOT work: chart2.ChartAreas[0].AlignWithChartArea = chart1.ChartAreas[0].Name; chart2.ChartAreas[0].AlignmentStyle = AreaAlignmentStyles.PlotPosition; chart2.ChartAreas[0].AlignmentOrientation = AreaAlignmentOrientations.Vertical; This will align the InnerPlotPositions of two Charts : // align the controls: yourChart1.Left = yourChart2.Left; yourChart1.Size = yourChart2.Size; // get the numbers of the current innerplotpositions RectangleF ri1 =

I am trying to use WinRTXamlToolkit.Controls.DataVisualization.UWP trying to draw any of the stacked charts like this: But only this comes out: Please help me, I have to use stacked series but the framework doesn't act as it should be.. Since I don't know how you define the code behind, I just provide the sample code as follows which can create a StackedLineSeries chart successfully. XAML Code <Page x:Class="CStackLineChat.MainPage" ... xmlns:charting="using:WinRTXamlToolkit.Controls.DataVisualization.Charting" mc:Ignorable="d"> <Grid Background="{ThemeResource

Question Below code is grouped vbar chart example from bokeh documentation. There are something i can't understand on this example. Where 'cyl_mfr' is come from in factor_cmap() and vbar()? 'mpg_mean' , is it calculating the mean of 'mpg' column? if then, why 'mpg_sum' doesn't work? I want to make my own vbar chart like this example. Code from bokeh.io import show, output_file from bokeh.models import ColumnDataSource, HoverTool from bokeh.plotting import figure from bokeh.palettes import Spectral5 from bokeh.sampledata.autompg import autompg_clean as df from bokeh.transform import factor_cmap

I am trying to visualise multivariate data model by reading them from multiple input files. I am looking for a simple solution to visualise multiple category data read from multiple input csv files. The no. Of rows in inputs range from 1 to 10000s in individual files. The format is same of all the inputs with 4 columns csv files. Input 1 tweetcricscore 34 51 high Input 2 tweetcricscore 23 46 low tweetcricscore 24 12 low tweetcricscore 456 46 low Input 3 tweetcricscore 653 1 medium tweetcricscore 789 178 medium Input 4 tweetcricscore 625 46 part tweetcricscore 86 23 part tweetcricscore 3 1 part

Hi Data Visulization Experts! I'm trying to plot this graph hand-drawn example here in python. However, it seems it will be much trickier to plot as compared to normal plots. It would be really nice if a visualisation expert can help in plotting this. In the hand-drawn figure I kept all the lines red, however, they can be in different colours. Thank you for your responses :) Without the data I cannot assist in plotting it, but you can solve it via Python by following the examples at: https://matplotlib.org/gallery/units/bar_demo2.html?highlight=bar ^ You can perhaps have each bar chart on a