adapted from BSD(3C)4
**USE OF THIS CODE/MATERIAL OR ANY "INSPIRATION" DRAWN FROM THIS CODE/MATERIAL IN AN ACADEMIC CONTEXT (SPECIFICALLY AT UC BERKELEY) IS STRICTLY PROHIBITED SUCH BEHAVIOR VIOLATES FEDERAL COPYRIGHT LAW, UC BERKELEY ACADEMIC INTEGRITY, AND UC BERKELEY COURSE POLICIES
| #necessary to implement `download_data()` [see below] | |
| import requests | |
| from pathlib import Path | |
| import time | |
| #standard data analysis libraries | |
| import numpy as np | |
| import pandas as pd | |
| #imports for displaying, rendering, and saving plots and visualizations | |
| import plotly | |
| import plotly.express as px |
| import pandas as pd | |
| import ipywidgets as widgets | |
| import numpy as np | |
| from IPython.display import * | |
| class Make: | |
| def headers(cols, labels): | |
| header_widgets = [] |
| <center> | |
| <img src="https://raw.githubusercontent.com/ds-modules/ecc-cs9/refs/heads/main/ecc-header.png"> | |
| <h3>This notebook was made as a part of an interdisciplinary collaboration between UC Berkeley and El Camino College and supported by the California Learning Lab</h3> | |
| </center> |