What are some tips for visualizing data in Jupyter Notebook?

What are some tips for visualizing data in Jupyter Notebook?

To effectively visualize data in Jupyter Notebook, consider using libraries like Matplotlib, Seaborn, or Plotly. Start with simple plots and gradually explore more complex visualizations.

Can you give me an example of a simple plot using Matplotlib?

Sure! Here's a basic example:

import matplotlib.pyplot as plt

x = [1, 2, 3, 4]
y = [10, 15, 7, 10]

plt.plot(x, y)
plt.title('Simple Line Plot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.show()

What about using Seaborn for more advanced visualizations?

Seaborn is great for statistical visualizations. For example, you can create a scatter plot with regression lines using:

import seaborn as sns
import matplotlib.pyplot as plt

# Load example dataset
iris = sns.load_dataset('iris')
sns.lmplot(x='sepal_length', y='sepal_width', data=iris)
plt.title('Iris Sepal Length vs Width')
plt.show()

Are there any tips for improving the aesthetics of my plots?

Absolutely! You can improve aesthetics by customizing colors, adding grid lines, and using themes. For example, with Seaborn, you can set a theme using sns.set_theme() before plotting.