Estadistica Practica Para Ciencia De Datos Y Python High Quality <720p>

Here are three options for a post, tailored to different platforms (LinkedIn, Instagram/Twitter, and a Blog structure). All focus on the intersection of practical statistics, high-quality Python code, and data science.

Two-sample t-test (independent groups)

lunch = df[df['time'] == 'Lunch']['tip']
dinner = df[df['time'] == 'Dinner']['tip']
stats.ttest_ind(lunch, dinner, equal_var=False)  # Welch’s

df = pd.read_csv("clickstream.csv") print(df.describe()) Here are three options for a post, tailored

El boxplot marcará el 1100 como un punto fuera de los bigotes — ese es un outlier que deberás tratar (transformación logarítmica o winsorización). df = pd