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Experiment with the AI assistant

Generative AI is coming to DataCamp Workspace! Go through this notebook to experience the AI-enabled functionality. In this example project, we'll be querying a database with unicorn company data to build a chart showing the countries with the highest amount in total funding.

Get the data

The first step is getting data. Rather than using SQL, we'll ask the AI assistant to generate the code for us!

  • Click on the SQL cell below and select "Unicorn Companies" in the dropdown in the cell header.
  • In the cell menu on the right-hand side, click on "Generate".
  • In the input field that appears, type "Get a list of companies (name, country, and funding)".
  • Hit Enter and see the code streaming in!
  • Accept the suggestion and run the SQL cell.
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DataFrameas
df
variable
SELECT companies.company, funding.funding
FROM funding
JOIN companies ON funding.company_id = companies.company_id
WHERE funding.funding > 10;

Visualize the data

To visualize the DataFrame we got back in the previous step, let's ask the AI once more!

  • Click in the Python cell below and click on "Generate" in the cell menu on the right-hand side.
  • In the input field that appears, type "Plotly bar chart with top 10 countries by total funding".
  • Hit Enter and see the code streaming in!
  • Accept the suggestion and run the code cell.
import plotly.express as px

# group the dataframe by country and sum the funding
df_grouped = df.groupby('country').sum().reset_index()

# sort the dataframe by funding in descending order
df_sorted = df_grouped.sort_values(by='funding', ascending=False)

# select the top 10 countries by funding
df_top10 = df_sorted.head(10)

# create the bar chart
fig = px.bar(df_top10, x='country', y='funding', title='Top 10 Countries by Total Funding')
fig.show()

May the AI force be with you! 🤖