fivethirtyeight | R package of data and code

 by   rudeboybert R Version: v0.6.1 License: Non-SPDX

kandi X-RAY | fivethirtyeight Summary

kandi X-RAY | fivethirtyeight Summary

fivethirtyeight is a R library typically used in Data Science applications. fivethirtyeight has no bugs, it has no vulnerabilities and it has low support. However fivethirtyeight has a Non-SPDX License. You can download it from GitHub.

An R package that provides access to the code and data sets published by FiveThirtyEight Note that while we received guidance from editors at 538, this package is not officially published by 538.
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              fivethirtyeight has a low active ecosystem.
              It has 426 star(s) with 97 fork(s). There are 29 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 5 open issues and 21 have been closed. On average issues are closed in 135 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fivethirtyeight is v0.6.1

            kandi-Quality Quality

              fivethirtyeight has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              fivethirtyeight has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              fivethirtyeight releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            fivethirtyeight Key Features

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            fivethirtyeight Examples and Code Snippets

            No Code Snippets are available at this moment for fivethirtyeight.

            Community Discussions

            QUESTION

            How do I plot weather data from two data sets on one bar graph using python?
            Asked 2021-May-29 at 19:32

            Python newbie here. I'm looking at some daily weather data for a couple of cities over the course of a year. Each city has its own csv file. I'm interested in comparing the count of daily average temperatures between two cities in a bar graph, so I can see (for example) how often the average temperature in Seattle was 75 degrees (or 30 or 100) compared to Phoenix.

            I'd like a bar graph with side-by-side bars with temperature on the x-axis and count on the y-axis. I've been able to get a bar graph of each city separately with this data, but don't know how to get both cities on the same bar chart with with a different color for each city. Seems like it should be pretty simple, but my hours of search haven't gotten me a good answer yet.

            Suggestions please, oh wise stackoverflow mentors?

            Here's what I've got so far:

            ...

            ANSWER

            Answered 2021-May-29 at 19:32

            You can concat DataFrames, assigning city as a column, and then use histplot in seaborn:

            Source https://stackoverflow.com/questions/67753461

            QUESTION

            Plotting by groupby and mean
            Asked 2021-May-16 at 00:28

            I have a dataset that contains names, Name of Movie, and Score

            I am new to python, therefore I don't understand how I am supposed to make a horizontal bar chart that shows me the average score of each movie.

            I started like:

            import matplotlib.pyplot as plt

            import pandas as pd

            plt.style.use("fivethirtyeight")

            df = pd.read_csv('movies.csv', sep=';')

            print(df.shape)

            print(df.head())

            mean = df.groupby(['Name of Movie']).mean()

            labels = mean.index.values

            values = mean['Score'].values

            I am unsure how to continue to display such chart

            ...

            ANSWER

            Answered 2021-May-16 at 00:20
            df.groupby('Name of Movie').Score.mean().plot(kind='barh')
            

            Source https://stackoverflow.com/questions/67552213

            QUESTION

            Updating matplotlib bar chart in real time
            Asked 2021-Apr-28 at 03:42

            I'm coding the Bubble Sort algorithm, where it takes in a list of random integers, sorts them in increasing order, and plots the sorted list of integers as the y-values of a bar graph. My first bar chart is the unsorted list and the second one is the sorted one.

            I want the graph to update in real time. I would do this by feeding matplotlib lists that are sorted a bit more and more. (ie new lists each time)

            I've looked up many tutorials on updating charts in matplotlib, but they are mostly for ones like scatter plots where one point is added at a time. I've also seen Updating a matplotlib bar graph?, but I cannot understand it for the life of me...

            So, how would I go about making this bar graph update in real time? Thank you!

            My code is below. You can ignore the sorting algorithm. All that you need to know is that it returns a list of sorted numbers in the form [1, 2, 3, 4, 5].

            ...

            ANSWER

            Answered 2021-Apr-28 at 03:42

            It is first version without FuncAnimation for animation. It may be slow.
            And it may have problem to close window befor end of animation.

            First I use

            Source https://stackoverflow.com/questions/67292464

            QUESTION

            How to only show the last 20 results from an updating/real time graph
            Asked 2021-Apr-28 at 01:40

            I've got this script running to update every time a new value is added to my csv file (it's a manual log taking in values from a machine):

            ...

            ANSWER

            Answered 2021-Apr-28 at 01:40

            you can slice it or get first n records. you can apply the following after your code line : data=data.dropna()

            Source https://stackoverflow.com/questions/67292585

            QUESTION

            Error in GoogleColab (Python)- TclError: no display name and no $DISPLAY environment variable
            Asked 2021-Apr-25 at 10:29

            Does anybody know how to fix the below error in Python in GoogleColab Notebook? I am running the below code:-

            ...

            ANSWER

            Answered 2021-Apr-25 at 09:21

            It is not possible to use tkinter on Google Colaboratory for alot of reasons. Firstly, even though if you manage to get it working by following here, as it mentions:

            However, if you want to interact with the GUI, that's going to be hard, 'cuz Colab doesn't support interactive screens out of the box.

            also from other answers there:

            Servers generally don't even have a display. And even if they had, you wouldn't see it. You will have to run Python on your desktop or laptop to use tkinter.

            I cannot close this question as a duplicate because the other question does not have a correct answer chosen.

            Source https://stackoverflow.com/questions/67251267

            QUESTION

            UnboundLocalError: local variable 'xd' referenced before assignment
            Asked 2021-Apr-06 at 02:21

            This piece of code is used to make an animated graph. The var xd and yd is the data for the x- axis and y-axis. So I have automated this by +1 to xd, which repeats every 1 second use threads. Which unfortunately results with an error: 'UnboundLocalError: local variable 'xd' referenced before assignment'. I have tried many answers but some result with, 'define xd' or 'syntax error'.

            ...

            ANSWER

            Answered 2021-Apr-06 at 02:21

            It seems to me that you want to define xd as a global variable

            Source https://stackoverflow.com/questions/66961919

            QUESTION

            issues in displaying matplotlib animated plot in pyqt5 gui and save in mp4 at the same time
            Asked 2021-Feb-10 at 15:15

            Goal: display and save plot in mp4 at the same time

            I am able to save the video but when it finishes saving, it starts to override canvases which leads to crashes and doesnt show the plot in gui. I imagine i have to use some sort of threads to run animation but i am stuck how to do that. I can also imagine a lot flaws in my code.

            main.py

            ...

            ANSWER

            Answered 2021-Feb-10 at 05:06

            Disclaimer: I am not going to use the OP's code as it has unnecessary elements that only distract as well as useless imports so I am going to show an example focused only on the required functionality.

            If you want to save and show the GUI then you should not use the save() method as this is blocking, instead you should directly use the writer (FFMpegWriter), using the setup() method to configure and then the grab_frame() method to record the frames. It should be noted that when recording the speed of the animation decreases since recording a frame consumes time making the eventloop busy.

            Source https://stackoverflow.com/questions/66125944

            QUESTION

            Creating manually a legend in ggplot R
            Asked 2021-Jan-09 at 18:21

            So this is the graph and the code I have so far:

            ...

            ANSWER

            Answered 2021-Jan-09 at 17:33

            QUESTION

            tensorflow prediction output changes each time I train
            Asked 2021-Jan-02 at 23:18

            I use the following code for training my model which is supposed to detect cats and dogs. when I train it, each time it gives a different prediction score and the output is mostly wrong. here is my code

            ...

            ANSWER

            Answered 2021-Jan-02 at 23:18

            I cannot post comments yet, so writing an answer.

            I see your model has only one convolutional layer with 32 filters. Your model would not have learned good features with only one layer. You can try to increase the convolutional layers.

            How many images does your training set have? Did you check if your class_names variable values are corresponding to your images? I mean try to plot few images of your dataset with your labels just to be sure, you are setting the labels correctly to your images.

            Monitor your training and validation accuracy scores. If your validation score is lesser and your training accuracy is huge, chances are that your model is over-fitting. Use regularization methods to avoid overfitting. (For E.g., add a dropout layer or use kernel_regularizer).

            Look at this post and see if you can get the results

            https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-photos-of-dogs-and-cats/

            Source https://stackoverflow.com/questions/65537590

            QUESTION

            Make trend change chart with ggplots in R
            Asked 2020-Dec-19 at 14:11

            I just read an article here

            Does anybody knows if/how we can produce a similar chart like this in R with ggplot package or other libraries? This is such a cool visualisation

            ...

            ANSWER

            Answered 2020-Dec-19 at 14:11

            Yes, you could achieve a very similar look with ggplot. I think this gets you pretty close:

            Data

            Source https://stackoverflow.com/questions/65202761

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

            Vulnerabilities

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