Workspace Walkthrough
Welcome to your workspace! Here, you can write code and text, run analyses, and share your data insights. Learn more below 🏁
1. Run code 🏃
Add and run Python code cells like the one below:
import pandas as pd
df = pd.read_csv('data/spotify_top_music.csv')
pd.options.plotting.backend = "plotly"
df.plot.scatter(x='year', y='bpm', hover_name='title', hover_data=["artist"])2. Add text ✍️
Add text cells with Markdown syntax, like this one you're reading right now. This adds narrative to your work and makes it easier for all types of readers to follow your code, interpret visualizations, and understand your insights.
3. Don’t know where to start? Look no further 📈
Try our ready-to-use datasets
Take the next step in your data science learning journey and analyze intriguing datasets.
Or our handy data science templates!
Experiment with our templates to analyze and visualize data faster than ever.
4. Publish & share work 📖
When you are ready to share your analysis, click the Share button to build a sleek publication that includes the rendered markdown text, code cells, and code output. You can choose who to share with and even enable commenting on the cells of your publication. When you publish your work, you can also feature it on your DataCamp profile - simply share the link to your DataCamp profile to share your portfolio!