Reply on: Fern
<p>Also curious - just getting familiar with what Fern can do. Pretty easy way to find data sets.</p>
Reply on: Interesting read - AI and Job Loss in China
<p>hm interesting, always wondered what it means to lose jobs to AI, then overall spending drops because humans have less to spend and then the economic impact. Wonder what rules or policies will come into place to mitigate this. We …
Reply on: What's everyone do for work?
<p>Data scientist @ a not-for-profit studying deforestation and all that jazz.</p>
Reply on: Are We Measuring the Air Nobody Breathes?
<blockquote><strong>Atheesh Kandepan wrote:</strong><br>I noticed something that caught my eye while I was looking through a NASA dataset. It was tracking pollution across 200+ countries from 2003 to 2018, it mentions that a country's average air quality and what people actually …
Reply on: Python Novice
<blockquote><strong>Leo Roche wrote:</strong><br>I am a bit of a novice with Python (I've done an intro course of Boot.dev, but clearly it didn't stick). Any chance someone has some code I can copypasta in for a first pass at a a …
Reply on: Disasters vs detection?
<blockquote> <p><strong>Leo Roche</strong> wrote:</p> <p><br>John Bradley wrote:<br>Found it thanks! "Incompleteness of natural disaster data and its implications on the interpretation of trends" <br><br>@John Bradley Any chance you could share the link? </p> </blockquote> <p>https://www.tandfonline.com/doi/full/10.1080/17477891.2024.2377561</p> <p>Here you go!</p>
Reply on: Python Novice
<p>Can get more specific based on what dataset you're using but here's a starter:</p> <p>import pandas as pd<br>import matplotlib.pyplot as plt</p> <p># Load the data — change the filename to match your file<br>df = pd.read_parquet("your_file.parquet") # or pd.read_csv("your_file.csv")</p> <p># …
Reply on: Disasters vs detection?
<p>Found it thanks! "Incompleteness of natural disaster data and its implications on the interpretation of trends" </p>