How to Analyze 10 Years of Chinese Earthquake Data with Python

This tutorial walks you through downloading the past decade of Chinese earthquake records, cleaning and enriching the dataset with coordinate conversion, timestamp parsing, and location extraction, and then visualizing statistics and maps—including province counts, city heatmaps, and dynamic monthly distributions—using Python, pandas, and Folium.

Data visualizationEarthquake DataFolium

0 likes · 11 min read

How to Analyze 10 Years of Chinese Earthquake Data with Python

Python Crawling & Data Mining

Aug 11, 2019 · Fundamentals

How to Scrape and Visualize a Year of Global Earthquake Data with Python

This tutorial walks you through discovering a real‑time earthquake data source, analyzing its pagination API, building a Python scraper with requests, parsing the JSON responses, storing the results in CSV, and performing visual analyses such as top‑magnitude locations, monthly frequency, repeat‑site counts, magnitude distribution, and word‑cloud generation.

CSVEarthquake DataPython

0 likes · 8 min read

How to Scrape and Visualize a Year of Global Earthquake Data with Python