Alright, so today I’m gonna walk you through my little project, which I’ve lovingly dubbed “grace chris”. It’s nothin’ fancy, but it was a good learning experience.
It all started with me wanting to mess around with some data visualization. I had this dataset lying around – you know, the kind you download and then forget about? – and I thought, “Hey, let’s see what we can do with this.”
First, I grabbed the dataset and threw it into a Pandas DataFrame. Yeah, yeah, I know, basic stuff. But gotta start somewhere, right? Then I spent a solid hour just cleaning the data. Missing values, weird formats, the whole shebang. Honestly, that’s like 80% of any data project, am I right?
Next, I decided I wanted to use Matplotlib to create some charts. I played around with different chart types – scatter plots, histograms, the works. I ended up settling on a couple of bar charts and a line graph that actually looked kinda decent.
But just having the charts wasn’t enough. I wanted to make it interactive. So, I looked into Plotly. It took me a while to figure out the syntax, but eventually, I got the charts displaying in a web browser and allowing me to hover over the data points to see more details.
The real challenge came when I tried to deploy it. I thought, “Okay, let’s try Heroku.” Big mistake. Spent like half a day wrestling with the environment and the dependencies. Turns out, my Python version was messed up, and some packages were incompatible.
So, I said, “Screw it,” and switched to Netlify. That was way easier. Just connected my GitHub repo, and it deployed the thing automatically. Bam! Online in like five minutes.
Here’s a quick rundown of the tools I used:
- Python (obviously)
- Pandas for data manipulation
- Matplotlib for basic charts
- Plotly for interactive visualizations
- Netlify for deployment
Learned a few things along the way. Like, always double-check your Python version. And don’t be afraid to ditch a tool if it’s giving you too much grief. Also, Netlify is a lifesaver.
Is “grace chris” gonna change the world? Nah. But it was a fun way to practice my data skills and learn a few new tricks. And that’s what it’s all about, right?
If you’re thinking about doing a similar project, I say go for it! Just start simple, don’t get bogged down in the details, and have fun with it.
