Data professional with over 10 years of experience in automating data-driven reports, data extraction, data cleansing, data transformations, and data visualizations. Tell me your goals and I will turn them into technical reality.
Public
Edited
Feb 24
Py
Importing course packages; you can add more too!
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import scipy.stats
import scipy.interpolate
import statsmodels.formula.api as smf
Importing course datasets as DataFrames
brfss = pd.read_hdf('datasets/brfss.hdf5', 'brfss') # Behavioral Risk Factor Surveillance System (BRFSS)
gss = pd.read_hdf('datasets/gss.hdf5', 'gss') # General Social Survey (GSS)
nsfg = pd.read_hdf('datasets/nsfg.hdf5', 'nsfg') # National Survey of Family Growth (NSFG)
brfss.head() # Display the first five rows
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.