kilogram | Email Development Framework | Email library

Hi guys this question has been answered multiple times here , I did like to just get assistance on what I am doing wrong. I have a large dataset and I did like to categorize one column that has weights in kilograms into given labels. Here is how my dataset looks like:

i got array of objects that assigned in state and i want to modify a property with input field. I tried some below :

I'm currently making a web application with React front-end and Firebase back-end. It is an application for a local gym and consists of two parts:

• A client application for people who train at the local gym
• A trainer application for trainers of the local gym

The local gym offers programs for companies. So a company takes out a subscription, and employees from the company can train at the local gym and use the client application. It is important that the individual progress of the company employees is being tracked as well as the entire progress (total number of kilograms lost by all the employees of company x together).

In the Firestore collection 'users' every user document has the field bodyweight. Whenever a trainer fills in a progress form after a physical assessment for a specific client, the bodyweight field in the user document of the client gets updated to the new bodyweight.

In Firestore there is another collection 'companies' where every company has a document. My goal is to put the total amount of kilograms lost by the employees of the company in that specific document. So every time a trainer updates the weight of an employee, the company document needs to be updated. I've made a cloud function that listens to updates of a user's document. The function is listed down below:

Silly newby question here.

I have a php app that basically captures weight of disposed electronics daily. I am trying to display the weight in Kilograms (KG) for the day as a sum of all the weights captured. So if there are 10 rows, each with say 10KG, i want the total KG to display at 100KG.

Heres my code:

I have a reviews table as follows:

What I want to select is the weight a r_id's cannot exceed. So my desired output is

As you can see, r_id 4 wasn't included since it wasn't taking about the maximum weight and 6 wasn't included because it is in grams. I am struggling with two things.

1. There are multiple phrases, how can I do a OR operator check in my regex column.
2. Sometimes the kg number is written like 40kg, 40 KG, 40 k.g or 40kilos. While all things are kilograms, the kg is written in different ways. How can I only extract the number (but ensuring the kg is written in one of the above ways, so I don't accidentally extract something like 4000g.

I'm working on a watchOS App as my first Swift/iOS project ever. I want to fetch the latest body weight sample and use it for some calculation. The result is presented to the user. As soon as a new sample is added, I want to update my UI as well. It works in a completely fresh simulator installation. As soon as I add a sample in the iOS simulator, the app updates its UI in the watchOS simulator. However, it doesn't work on my real device or after resetting the watchOS simulator. And I just don't know why. The HKAnchoredObjectQuery just returns 0 samples but I definitely have some samples stored in health. I can even see them under Settings > Health on my watch. I can't imagine this is related to my code, but here it is:

I am trying to create a UNIT CONVERTER which is a GUI application in Python using Tkinter. I have created one main OptionMenu and two other OptionMenus. These other two OptionMenus are dependent on the main OptionMenu i.e.upon selecting a value from the main OptionMenu, the list of values in the other two OptionMenus changes. I have created two buttons "Convert" and "Reset". In the Reset Button, I am trying to reset the selections on all three OptionMenus.

Source Code

I am new to python, so I am sorry if there is an obvious solution. I am working on someones code which looks like this (with a total of 80 entries):

To streamline data wrangling, I write a wrapper function consisted of several "verb functions" that process the data. Each one performs one task on the data. However, not all tasks are applicable to all datasets that pass through this process, and sometimes, for certain data, I might want to switch off some "verb functions", and skip them.

I'm trying to understand whether there's a conventional/canonical way to build such workflow within a wrapper function in R. Importantly, a way that will be efficient, both performance-wise and concise code.

As part of data wrangling, I want to carry out several steps:

1. Clean up column headers (using janitor::clean_names())
2. Recode values in the data, such that TRUE and FALSE are replaced with 1 and 0 (using gsub()).
3. Recode string values to lowercase (using tolower()).
4. Pivot wider based on specific id column (using tidyr::pivot_wider)
5. Drop rows with NA values (using dplyr::drop_na())

Toy data