pioneer | Governance app for Joystream DAO | Cryptocurrency library

I writing my code within a Jupyter notebook in VS Code. I am hoping to play some of the audio within my data set. However, when I execute the cell, the console reports no errors, produces the widget, but the widget displays 0:00 / 0:00 (see below), indicating there is no sound to play.

Below, I have listed two ways to reproduce the error.

1. I have acquired data from the hub data store. Looking specifically at the spoken MNIST data set, I cannot get the data from the audio tensor to play

below in the typography component, i wanted to make the variant prop dynamic in accordance to the different screen widths , how it can be done?? appreciate your feedback

I have MDBootstrap footer that I've made into a React Component in App.js. I'm using Font-Awesome and when I click the icons they keep increasing in size. I'm not sure why? Also they are a rounded edge (with a blue border) when it should be circled like in this footer here that I'm using: https://mdbootstrap.com/snippets/standard/mdbootstrap/2885115?view=side

Here is my App.js:

I'm creating my first PowerBI report, analysing staff absence data. The data contains a field of 'Absence Type', which categorises the type of absence the each record refers to.

I would like my users to be able to view my report both with and without the Absence Type of 'Pandemic'. I can hard-filter this on all pages by Excluding it but that gives the users no control.

I thought about using a slicer with a new custom column but I think that would be too confusing. If the column put a 'Yes' or 'No' as to whether the Absence Type was 'Pandemic', that would allow users to view the data without 'Pandemic' entries or just the 'Pandemic' entiries, but give no combined option. Even with a multiselect slicer they could easily deselect everything and see no results at all.

Ideally what I need is either an 'Include Pandemic?' slider where they can choose Yes or No (with Yes being everything and No being everything minus Pandemic records) or a button they can click to toggle the Pandemic records in or out of the visuals.

Apologies if this is has an obvious answer, I'm pioneering PowerBI for my organisation so don't really have anyone to ask here!

I'm using fandom module in python for my discord bot. I get this error when I request data by using page.images[0]. It should be an image url. This is the page I want to get.

Trying to build a locations near you webpage with react and google maps api. So far I'm able to fetch the API data using rapidapi (Trailapi) based on my location using an axios get request. Ive currently stored the list of hiking trails in my state and passed them over to my List component. When trying to display my new list in my placedetails component it throws a TypeError: places.map is not a function. The data was changed to an array which can be passed into .map but I'm still getting an error that the data passed in isnt the correct type in my List.js file.

Sample Response (Output of data when scanning for simple locations near me)

I tried to cluster my dataset using K-mean, but there is a categorical data in column 9; so when I ran k-mean it had an error like this:

I ran multiple imputation to impute missing data for 2 variables of a data frame, then I got a new data frame (with 2 columns for 2 imputed variables).

Now, I want to replace the 2 columns in the original data frame with the two newly imputed columns from my new dataframe. What should I do?

Original data frame new data frame for imputed variables

This is the code I used. Only 2 columns in this data frame are missing data, so I only imputed those two. Is that ok? Can you please suggest me a better way?

I have two dataframes, the one contains Reviews for cars and the second one contains the car make and car model. What I would like to do is use the car model df_brand['name'] to be used to lookup every word in the Review sentence df['Review'] and remove matching words. I would like to remove all the words that contain car brands in them.

Input data df['Review']: