data-visualization

问题 I have a dataset which consists entirely of boolean variables. Exactly like the transformed animal dataset below, only with many more columns. # http://stats.stackexchange.com/questions/27323/cluster-analysis-of-boolean-vectors-in-r library(cluster) head(mona(animals)[[1]]) war fly ver end gro hai ant 0 0 0 0 1 0 bee 0 1 0 0 1 1 cat 1 0 1 0 0 1 cpl 0 0 0 0 0 1 chi 1 0 1 1 1 1 cow 1 0 1 0 1 1 The goal is to rearrange the rows in such a way that groupings of similar membership patterns are

问题 Trying to visualize k-medoid (PAM) cluster results with fviz_cluster() , however function isn't accepting them. It states within ?fviz_clust "object argument = an object of class "partition" created by the functions pam() , clara() or fanny() in cluster package" I've tried accessing the clustering vector through other means; pam_gower_2$clustering pam_gower_2[[3]] but then I get a separate error: Error: $ operator is invalid for atomic vectors" The class of pam_gower_2 is partition? As the

问题 I am trying to display sales (y-axis) week over week (x-axis) for 890 vendors. I want to display this data using a facet wrap to quickly see where vendors are having a spike in sales. The plot in my RStudio console looks as such. This Makes sense, as rendering the plot here isnt the best view, however how can I properly format my plots onto a PDF even if it requires multiple pages of PDFs. Code for plot ggplot(Holiday_Spike_Table, aes(x = FSCL_WK, y = SLS))+ geom_col()+ facet_wrap(~MVNDR_NM)

问题 I am trying to display sales (y-axis) week over week (x-axis) for 890 vendors. I want to display this data using a facet wrap to quickly see where vendors are having a spike in sales. The plot in my RStudio console looks as such. This Makes sense, as rendering the plot here isnt the best view, however how can I properly format my plots onto a PDF even if it requires multiple pages of PDFs. Code for plot ggplot(Holiday_Spike_Table, aes(x = FSCL_WK, y = SLS))+ geom_col()+ facet_wrap(~MVNDR_NM)

问题 I am working with the R programming language. Using this previously asked question on stackoverflow ( Slider for Plotly R), I was able to make a "slider animation" (using the "plotly" library) for different values of (a variable called) "var" within the data set: #load libraries library(plotly) library(dplyr) library(ggplot2) #generate data var = rnorm(731, 100,25) date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") data = data.frame(var,date) #aggregate data aggregate = data %>%

问题 Using the following code with Bokeh server, I am currently able to color a selected node in my network graph pink by selecting it from a dropdown. What I'd like to do is extend the code to do is allow me to perform the same highlight callback, when a node is clicked , using Taptool() or some other method. Is this possible? import networkx as nx from bokeh.models.graphs import from_networkx from bokeh.models import Range1d, MultiLine, Circle, TapTool, Plot from bokeh.plotting import figure

问题 Given: Consider the density function $\phi$ defined on $\mathbb{R}$ for $a\in \mathbb{R}$ and $b \in \mathbb{R}_+^\star$ such that $\forall x \in \mathbb{R}$ , $$ \phi(x; a,b) = \frac{1}{\sqrt{2\pi b^2}}e^{-\frac{1}{2}\left(\frac{x-a}{b}\right)^2}. $$ Consider now the so-called Bart Simpson probability density function $f$ given by \begin{eqnarray} \label{eq:bart:1d:1} f(x) = \frac{1}{2}\phi(x; 0,1) + \frac{1}{10}\sum_{j=0}^4{\phi(x; (j/2)-1, 1/10)}. \end{eqnarray} Questions: Plot the pdf $f$

问题 Given: Consider the density function $\phi$ defined on $\mathbb{R}$ for $a\in \mathbb{R}$ and $b \in \mathbb{R}_+^\star$ such that $\forall x \in \mathbb{R}$ , $$ \phi(x; a,b) = \frac{1}{\sqrt{2\pi b^2}}e^{-\frac{1}{2}\left(\frac{x-a}{b}\right)^2}. $$ Consider now the so-called Bart Simpson probability density function $f$ given by \begin{eqnarray} \label{eq:bart:1d:1} f(x) = \frac{1}{2}\phi(x; 0,1) + \frac{1}{10}\sum_{j=0}^4{\phi(x; (j/2)-1, 1/10)}. \end{eqnarray} Questions: Plot the pdf $f$

问题 Given: Consider the density function $\phi$ defined on $\mathbb{R}$ for $a\in \mathbb{R}$ and $b \in \mathbb{R}_+^\star$ such that $\forall x \in \mathbb{R}$ , $$ \phi(x; a,b) = \frac{1}{\sqrt{2\pi b^2}}e^{-\frac{1}{2}\left(\frac{x-a}{b}\right)^2}. $$ Consider now the so-called Bart Simpson probability density function $f$ given by \begin{eqnarray} \label{eq:bart:1d:1} f(x) = \frac{1}{2}\phi(x; 0,1) + \frac{1}{10}\sum_{j=0}^4{\phi(x; (j/2)-1, 1/10)}. \end{eqnarray} Questions: Plot the pdf $f$

问题 I wish to add a wedge outlining a group of polar data using Python's Matplotlib. I have tried using the Wedge patch artist unsuccessfully, due to unknown reasons. I wish to either understand these unknowns, or find an alternative to the patch artist approach. The primary issue is that the Wedge patch is not displaying as I am expecting it to. Given my code, I am expecting it to be oriented at an angle, and span a range of ~0.05 in radius. This places it within the sector plot here: 1 But this