![]() ![]() Tracey Weissgerber et al., on Transforming Data Visualization to Improve Transparency Tracey Weissgerber et al., on Beyond Bar and Line Graphs I've linked some additional resources I've found helpful and I hope you do too! On the job as a statistician working on 'omics research I primarily use box plots, PCA plots, and what are essentially combination line+ scatter plots. In classes I used histograms, line plots, and bar graphs. I am curious to hear if anyone uses them because I'd love to see one in action.Īs a graduate student working in federal government I used bar graphs, box plots, and line graphs with the occasional heatmap or dot plot. To answer your questions, I have never used a stem-and-leaf plot and every course I've taken since 2011 that's covered them has always mentioned them in the context that no one uses them but they teach it any ways. I would not be who or where I am today without some excellent community college professors. Seaborn's own page is really fun to click around too!įellow alum of a community college and fellow stats instructor here! Please let me thank you for all of the dedication and hard work you put into your class. Highlights: Density plots, really attractive color schemes (color differentiation is a big deal.check out Cynthia Brewer's work for more info )Ĭomments: The main difference between these, and the matplotlib options above is the focus on (i) estimating where data is dense, and (ii) easy stratification of the data set so you can compare the plots of different classes/categories within the same data set (e.g., the famous Iris data set). To this I'd add box-whisker plots (with scatter plot overlaid) as a tool for measuring predictive performance of algorithms. ![]() Highlights: Line, scatter, histogram, barchart, 3D scatterĬomments: I can confirm that I use most of these on a daily basis. I've added some commentary to confirm that the tutorials are representative of the needs of many practitioners.Ĭould someone who uses R more please do the same for ggplot, etc.? Thanks Without getting caught up in the code segments, just scroll through these tutorials to see the pictures of the plots people are using. (I figure that carries more weight than me just asserting which plots are used.) If you scroll through them, you'll see what a practitioner thought was important to highlight to other practitioners. ![]() Sounds like you're doing right by your students by asking the right questions! They're lucky to have someone so proactive.īelow are two links to tutorials for the plotting libraries "matplotlib" and "seaborn", which are in the Python programming language. Thanks for helping me make intro statistics more real-world and up to speed. Alternatively, what types of graphs are more commonly used in the "real world" that maybe aren't taught in a beginning statistics class?.I have the same above question for boxplots, histograms, dot plots, too.Do researchers/others make stem and leaf plots to display real data for others to read in research/publication/reports/websites/etc? What fields use these graphs?.Does anyone actually make a stem & left plot? Since I don't practice actual statistics and data science in the "real world", I feel like a fraud telling my students what graphs are created in the "real word". I teach community college intro statistics and some of the topics we teach are how to construct a stem & leaf plot, a dot plot, boxplots, histograms. Subject: What graphs do people really use in practice? ![]()
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