#MakeoverMonday Wk30 2023: This is my entry for this week. I have tried to replicate @guardian's visualization on the same issue! Thank you @VizWizBI for the explanation and for discovering the dataset.
Here is the link to the dashboard: https://t.co/5AwAmaspHx
Continuing the learning, here is my #Python code for @LLCdatainmotion Python Coding Challenge. The following code is to capitalize the first letter of the string input by the user. I particularly liked the intuitive method of string slicing!
Viz for #MakeoverMonday 2023 Wk 28 challenge. Here we're analyzing countries based on visa-free access to their respective passport holders. As always, I am open to receiving feedback on how to improve!
https://t.co/I0ezlOZf58
Thank you @VizWizBI for the opportunity!
@VizWizBI Yes, it was tough! Mainly because it was the first time I tried it. After completing the viz I watched the live stream and you recommended it there 😆 It was a great viz to finally learn!
I tried this Monday's #MakeoverMonday challenge for the first time and boy was it something new I learned! Thank you @VizWizBI for making this movement. Attached is my entry!
https://t.co/XtMLczSYPw
This is my entry for Week 7 of @LLCdatainmotion Python Challenge. I have been really learning a lot through this challenge and I can't wait to solve some more!
This is my entry for Week 5 of @LLCdatainmotion Python Challenge. The question was to create a function that takes in the current mood and returns a sentence in the following format: “Today, I am feeling {mood}”. If no argument is passed, return “Today, I am feeling neutral”.