Summary: #Data Visualization with D3.js Final Project
This is the final project Data Visualization with D3.js course, which is part of the Udacity Data Analyst Nanodegree.
Date set: Propser Loan Data Set:
| import altair as alt | |
| (alt.Chart(df_sub) | |
| .mark_rect() | |
| .encode(x='yearmonthdate(hospTime):O', | |
| y='hospNameEn:N', | |
| color=alt.Color('mean(topWaitTime):Q', | |
| scale=alt.Scale(scheme='orangered'))) | |
| ) |
| import seaborn as sns | |
| import ipywidgets | |
| @ipywidgets.interact | |
| def plot(color=['red','steelblue']): | |
| (sns.barplot(y='hospNameEn', | |
| x='topWaitTime', | |
| data=df_mean, | |
| orient='h', | |
| color=color) |