How can I use Jupyter Notebook for data analysis?
You can use Jupyter Notebook to write and execute Python code, visualize data, and document your analysis in an interactive environment.
What libraries should I install for data analysis?
You should consider installing libraries like Pandas for data manipulation, NumPy for numerical operations, and Matplotlib or Seaborn for data visualization.
Can you show me a simple example of data visualization?
Sure! Here's a simple example using Matplotlib:
import matplotlib.pyplot as plt
import pandas as pd
data = {'x': [1, 2, 3, 4], 'y': [10, 15, 7, 10]}
df = pd.DataFrame(data)
plt.plot(df['x'], df['y'])
plt.title('Simple Line Plot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.show()
How do I save my notebook?
You can save your notebook by clicking on the disk icon in the toolbar or by using the shortcut Ctrl + S.
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