latino | A dance training manage system based on NodeJS、Express Web | Runtime Evironment library

I am running a script that extracts data into dictionaries, it creates new parameters with the old ones and then it has to append the new parameters to a list.

The loop goes well, every time I print parameters, it updates the values correctly and creates a new value, new url, everything fine.

The issue comes when I append parameters to the image_data_list. It does not add the new dictionary to the list, but it transform every value in the list into the new one, so I get lists of 200 equal dictionaries when I need a list of different dictionaries that I get in every iteration.

I am trying to calculate the population under 20 by race for each county in MN using the American Community Survey in R. Using Tidycensus I am aware this can be done using the B01001H variables for each race and age group in R. However I would need to aggregate all the variables for those under 20 for each racial group. According to this webpage (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf) while aggregating the estimates is merely the sum of each of the subgroup values, aggregating the margin of error requires I calculate this formula:

So, I'm using Python 3.7 and performing a data report using Jupyter Notebooks. I have a dataframe, floridaDtFinal, which has the following columns:

I have a list of people when clicking on them is marked with a red border, I also have two buttons, I want to make it so that when one of these buttons is pressed, the red border disappears, that is, cancel the active class, since when one of these people is clicked, it is activated a class named selectAvatarBorder

You can also see the given code in codesandbox

I am using the plot_model function from the library sjPlot for diagnostic plots of a linear regression. If you have a univariate regression, it outputs 3 plots, if you have a multivariate regression then there are 4 plots. The plots update dynamically with checkboxGroupInput but I get 'Error: subscript out of bounds' where the 4th plot should be when I only have 1 input checked. I want the spot for the 4th plot to just return blank if there is only 1 input checked.

I include a sample of 150 rows generated with dput: [redacted]

So i have a dataframe with two columns: artistID and genre:

I am working on a program that has a component that will generate simulated demographic numbers for various hypothetical jurisdictions.

The methods I have set up to generate each subset of demographics are dependent on some other variables, but generally, most jurisdictions are supposed to look something like:

I am working with a data set where respondents indicated their race by selecting one or more racial categories in R. In my dataset, the categories are recorded as follows: 1 = Asian, 2 = Arab, 3 = Black, 4 = Latino, 5 = Native American, 6 = Pacific Islander / Native Hawaiian, 7 = White, 8 = Other, 9 = Prefer not to answer. Many respondents indicated multiple categories. For example:

race <- c('1', '2', '5', '1,5')

I am trying to change the numbers to the actual name of each racial group using dplyr's recode function.

race <- dplyr::recode(race, '1'='Asian', '2'='Arab', '3'='Black', '4'='Latinx','5'='American Indian', '6'='Pacific Islander/Native Hawaiian','7'='White', '8'='Other/None', '9'='Prefer Not to Answer')

However, I don't know how to deal with respondents who put more than one racial group. For example, with the code I used, a person who selected Asian (1) and White (5) would show as "1,5" instead of "Asian,White". My output looks like this.