tidytuesday | Code snippets for weekly # tidytuesday project | Data Visualization library

I am working with the current tidytuesday data about salaries and trying to create a model with tidymodels and recipes. I want to predict salary with many of the other factors present using the recipes code, but I run into an issue.

Issue 1 - My recipe says there are empty rows, but I do not know how to figure out how. This does not give an error, so maybe it is not a problem.

Issue 2 - Understanding what my models actually did and how to visualize the performance. I want to plot the models performance on the initial data. Here is an example of my goal: https://indescribled.files.wordpress.com/2021/05/image-17.png?w=782

I do not understand exactly how to use the predict function with my recipe. juice(rec) is less than 1000 rows while the testing data is about 6000. Perhaps I am reading it backwards, but can someone try to point me in the right direction?

The code below should be an exact reproduction of mine.

This is my first time using stack overflow so apologies if I do this wrong.

I'm fairly new to coding in R and I'm trying to make a simple Shiny app using a TidyTuesday dataset. I wanted to make a map with points showing the different types of water systems ("water_tech") and radio buttons to choose which type of water system is plotted on the map. I got the app to load without an error message, however no matter which button is selected, all of the different types of water systems are plotted on the map, not just the one I selected (essentially, the buttons don't work). If anyone has any ideas about what could be causing this to happen I would greatly appreciate it!

Reproducible code:

I'm trying to build a plot with geom_line based on the data from 1990 to 2020, and I'd like my x-axis breaks to be every 5 years. I've filtered the original data to the period 1990-2020, set the limits of scale_x_date and found other answers here on using expand = c(0,0), but there are still some extra years in the beginning that are messing with the breaks so the five years periods are not 1990-1995-2000 etc, but 1993-1998-2003 etc. The limits themselves work properly though, if you set any other dates. What might be the problem here? Thanks!!

and here's my code:

I am using tidytuesday UN votes dataset and trying to adjust a facet plot by nrows to occupy the full height in flexdashboard of the plot but it's hardly utilizing half of the space and making the plot less visible.

Alternative is I can make 5 different plots but this will run code for 5 times when it can be done in once with facet.

I have also tried facet_grid, par(mfrow = c(1,1)) but both didn't help.

I'm an R (dplyr) user who's learning how to clean data using pandas. I am practicing using the wind turbines dataset, and I would like to be able to return a data frame with the count of manufacturers per year in British Colombia since the year 2000.

The chunk below returns an error NameError: name 'year' is not defined. Is there a way to pipe a newly generated column, year in this case, into a groupby statement within one chain?

I am doing the #duboischallenge and am on challenge 5.

I would like to remove the labels "0%" on the plot.

code (still learning so might not be most efficient code!):

From tidytuesday datasets I am trying to create a line plot which color in blue if greater than 0 and red if less than 0.

I have just started the du Bois challenge as part of #tidytuesday, and am on challenge 1: Comparative Increase of White and Colored Population in Georgia

The original graph has the "WHITE" symbol with 4 dashes enter image description here, but when I replicate the plot, the legend only has 1 and a bit of the second dash.

How do I repeat the symbol in the legend to get 4 dashes? I don't need to increase the size, just the repetition

I am using a dataset from tidytuesday and trying to order values within each factor .

For example in below plot I want the values of Years to be in ascending order for each city (Years to start from 2012 to 2021).

How can I order them ? Is there any fct_() to do order within ?

df summary: