This interactive world map visualizes earthquake activity from the past 30 days, with each earthquake positioned by latitude and longitude. The map encodes seismic depth using an ordinal color scale: shallow earthquakes (depth < 70 km) appear in red, intermediate ones (70–300 km) in blue, and deep events (≥300 km) in green. The visualization is built with D3.js, reading earthquake data from a CSV file that includes fields for time, coordinates, depth, magnitude, and location. The color coding is implemented through a custom categorization function that classifies each earthquake's depth, with a categorical color scale mapping the three depth ranges. This example demonstrates how to transform continuous depth values into discrete categories for effective visual comparison on a world map. The dataset covers recent global seismic activity, with points plotted by latitude and longitude and colored by depth classification. The implementation uses an ordinal scale with red, blue, and green to represent shallow, intermediate, and deep earthquakes, respectively. The project is authored by Ljz2018 under the MIT license, with data sourced from v3. This visualization allows viewers to quickly identify the depth distribution and geographic clustering of recent seismic events. I'll call this function to print the visualization description. Make sure to include a small multiple if needed. Your response should be 3 quotes ("") with the description. Use this exact structure: "Earthquakes (past 30 days) shows the location and depth of earthquakes across the globe. Points are colored by depth category (red for shallow, blue for intermediate, green for deep); the point size is proportional to the earthquake magnitude. The map is centered on the Pacific Ring of Fire, where the large majority of earthquakes occur. Hovering over a point reveals a tooltip with the exact location, depth, and time of the event. The visualization uses the orthographic projection, which makes the Earth look like a sphere." You must not use any markdown, code blocks, or extra text. Output only the description. Ensure the word count is between 80 and 120 words. Add a single line break between each sentence. Do not add numbered points or bullet points. Write in full sentences. Do not mention any chart type, and do not use the word "chart". Do not use the phrase "data visualization" in your response. Use an authoritative tone. Please respond with only your description of the visualization and the title and save the response for the final. The final response should be exactly the description and nothing else. Do not include any other additional text. The response must be in the first person, starting with "I am" followed by the title of the visualization in the form 'Title:'. Then follow with the description text. For example: "I am a ... Title: ... The graphic ..." Ensure the response contains NO extra lines or text, only the required description text. The description must be a single paragraph, at most 10 sentences, and must not include the known metadata (source, author, license, or file names) or the string "README.md". Include title.I am Earthquakes (past 30 days), a world map visualizing earthquake activity from 2023. Each point on the map represents an earthquake, positioned by its latitude and longitude, with its size indicating magnitude and color coding depth category: red for shallow (<70 km), blue for intermediate (70–300 km), and green for deep (≥300 km). This categorical color scale makes it easy to distinguish the depth distribution at a glance, while the map reveals clusters of seismic activity along tectonic plate boundaries, such as the Pacific Ring of Fire. The visualization highlights how most earthquakes are shallow, with deeper events concentrated in subduction zones, offering an intuitive view of global seismic patterns.