Whisker | themed app that utilizes the Petfinder API | Frontend Framework library

 by   KyleZahn JavaScript Version: Current License: No License

kandi X-RAY | Whisker Summary

kandi X-RAY | Whisker Summary

Whisker is a JavaScript library typically used in User Interface, Frontend Framework, React Native, React applications. Whisker has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A Tinder-themed app that utilizes the Petfinder API. Created with React Native.
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              Whisker has a low active ecosystem.
              It has 4 star(s) with 2 fork(s). There are no watchers for this library.
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              It had no major release in the last 6 months.
              Whisker has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Whisker is current.

            kandi-Quality Quality

              Whisker has no bugs reported.

            kandi-Security Security

              Whisker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Whisker does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              Whisker releases are not available. You will need to build from source code and install.

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            Whisker Key Features

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            Whisker Examples and Code Snippets

            No Code Snippets are available at this moment for Whisker.

            Community Discussions

            QUESTION

            A stacked range plot using ggplot
            Asked 2021-Jun-11 at 14:11

            Suppose I wish to make a range plot with the design below using ggplot with the following dummy data:

            with following legend.

            ...

            ANSWER

            Answered 2021-Jun-10 at 22:23

            You first create a dataframe where you have min and max for each combination of (xcat, base and col)

            Source https://stackoverflow.com/questions/67928634

            QUESTION

            Filtering documents from document array in MongoDB with C# and MongoDriver
            Asked 2021-May-19 at 15:09

            I have a MongoDB (running on Cosmos DB), and am trying to filter out sub-documents in an array, based on a list. I have had some success in the Mongo Shell but I did not achieve my goal, and no success in C# with the MongoDriver.

            What I want to do is e.g. given these two documents in my database:

            ...

            ANSWER

            Answered 2021-May-19 at 15:09

            first of all, you need to make the pet property IEnumerable like so:

            Source https://stackoverflow.com/questions/67601751

            QUESTION

            Resize whiskers (width) in a ggplot boxplot with a grouping variable
            Asked 2021-May-03 at 01:33

            When I resize whiskers in a boxplot using geom="errorbar , width="the center line (from stat_boxplot) with whiskers moves, so I get two lines:

            • How can I avoid that when I resize? Especifically, I would like to make whisker width smaller thant boxplot width.

            • How do I hide the line from boxplot? (An answer for the first question would solves the problem, but I'm curious).

            ...

            ANSWER

            Answered 2021-May-02 at 15:49

            I can get your desired outcome by adjusting the position of your stat_boxplot(). For me, it appears correct by adding the following argument: position = position_dodge(width = 0.75). It was trial and error to get the correct value of 0.75.

            Source https://stackoverflow.com/questions/67357919

            QUESTION

            Boxplot with Summarized and Grouped Data in R
            Asked 2021-Apr-26 at 04:37

            I have the following pre-summarized cost data:

            MeanCost Std MedianCost LowerIQR UpperIQR StatusGroup AgeGroup 700 500 650 510 780 Dead Young 800 600 810 666 1000 Alive Young 500 200 657 450 890 Comatose Young 300 400 560 467 670 Dead Old 570 600 500 450 600 Alive Old 555 500 677 475 780 Comatose Old 333 455 300 200 400 Dead Middle 678 256 600 445 787 Alive Middle 1500 877 980 870 1200 Comatose Middle

            I wish to create a boxplot with this information - similar to the one below. Where each Color represents Status Group (blue=dead, read=alive, green=comatose). And each grouped cluster represents an age group (left cluster=young, middle cluster=middle, right cluster=old).

            I know that I don't have min and max, so whiskers are not necessary.
            I want to code this in R, and any help would be appreciated! Thank you.

            Here is the code I have tried:

            ...

            ANSWER

            Answered 2021-Apr-26 at 04:37

            Is this what you are trying to do?

            Source https://stackoverflow.com/questions/67260125

            QUESTION

            R package fails CRAN check on r-devel windows because of missing dependencies
            Asked 2021-Apr-25 at 12:25

            I recently submitted an R package to CRAN which passed the initial checks and was published on CRAN. But it fails a package check on one of the configurations it was tested on by CRAN, r-devel-windows-x86_64-gcc10-UCRT. (https://cran.r-project.org/web/checks/check_results_rslurm.html)

            Our package has one hard dependency, whisker. The dependency isn't available for some reason on that combination of OS and R version.

            The relevant section of the DESCRIPTION file is:

            ...

            ANSWER

            Answered 2021-Apr-25 at 12:25

            That is an experimental build. If your package fails on it because of a missing dependency, don't worry about it. If it fails for some other reason, you should fix it.

            You can read the details here: https://www.r-project.org/nosvn/winutf8/ucrt3/CRAN/checks/gcc10-UCRT/README.txt and here: https://svn.r-project.org/R-dev-web/trunk/WindowsBuilds/winutf8/ucrt3/howto.html .

            Your package fails only because of a missing dependency. If you want to get rid of that badge, you could help the dependency author to fix their package so it builds. In the case of whisker it's also a dependency issue, so it may take a bit of time to trace back through the dependencies until you find the package(s) that actually fail and are fixable, but perhaps you could inform the whisker author of the issue, hopefully to recruit them in the search.

            Source https://stackoverflow.com/questions/67253088

            QUESTION

            Grouped Boxplot Alternate Color, Label and Tight Spacing Issue
            Asked 2021-Apr-12 at 02:44

            With the following data (for a quick csv file generation, dataset link):

            and the following code:

            ...

            ANSWER

            Answered 2021-Apr-12 at 02:20

            If you're open to using seaborn, you can use sns.boxplot() and set the melted variable as hue:

            Source https://stackoverflow.com/questions/67051776

            QUESTION

            Pandas resample and boxplot (seaborn)
            Asked 2021-Mar-17 at 13:39

            I have a pandas DataFrame that contains a value that was logged every few minutes.

            ...

            ANSWER

            Answered 2021-Mar-17 at 13:39

            Since your data is in the long form already, seaborn is the correct choice. You can use either dt.normalize() or dt.date to get the dates:

            Source https://stackoverflow.com/questions/66673690

            QUESTION

            Is there any way to show mean in box plot using Python?
            Asked 2021-Mar-07 at 06:48

            I'm just starting using Matplotlib, and I'm trying to learn how to draw a box plot in Python using Colab.

            My problem is: I'm not able to put the median on the graph. The graph just showed the quartiles, mean, and outliers. Can someone help me?

            My code is the following.

            ...

            ANSWER

            Answered 2021-Mar-07 at 06:44

            If I understand correctly, you're looking for showmeans and meanline:

            Source https://stackoverflow.com/questions/66513301

            QUESTION

            ggplot2: Problem with geom_boxplot representation for two numerical variables
            Asked 2021-Mar-02 at 22:35

            I'd like to make an error representation in a boxplot (upper and lower quartiles, whiskers) without success. I have two exploratory variables (distance and radius) and if I make a mean plot with the error bars is OK, but if I try to make the same in a boxplot, I don't have the 5 radius for each distance. In my example:

            ...

            ANSWER

            Answered 2021-Mar-02 at 22:35

            The problem seems to be that after aggregating the data with summarise there is only one datum per group/subgroup of distance/radius and a box-and-whiskers plot no longer makes sense.
            The code below doesn't aggregate the data, it simply converts the grouping variables to factor and plots them in the x axis. The y axis percent scale labels use package scales, function label_percent.

            Source https://stackoverflow.com/questions/66447752

            QUESTION

            Boxplot what do the dots represent?
            Asked 2021-Feb-28 at 00:17

            I am learning datascience for data analysis I am using seaborn and doing a box plot which resulted in below plot

            I understood the whiskers which represting quantiles and the dots on top at 45 and 52 are max values. what I don't understand is what do the dots in between represent and what are they called

            ...

            ANSWER

            Answered 2021-Feb-28 at 00:17

            In box plots, dots are outliers. This is not particular to Seaborn or any other tool; it is generical to visualization in statistics.

            The outliers are points that stay out of the interval [Q1-1.5*IQR; Q3+1.5*IQR], with:

            • Q1 = Quartile 1 (25th percentile)
            • Q3 = Quartile 3 (75th percentile)
            • IQR = Interquartile range from Q1 to Q3

            I think you will understand that better if you plot the histograms matching those box plots :)

            Please, read this post, it is quite good :)

            Source https://stackoverflow.com/questions/66395848

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

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            You can download it from GitHub.

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