Step 6: Temporal analysis

At this point, we have a good idea of how ratings are distributed; it seems like they are either very low or very high. Let’s progress to the next step.

[Prompt]

Proceed to the next step.

[End of prompt]

You should receive a response similar to the response below:

[Prompt response]

Great! Now let’s move on to step 6: Temporal Analysis. We’ll analyze the review_date column to explore trends, seasonality, or any patterns over time.

First, we need to convert the review_date column to a datetime format. Then, we can extract the year, month, and day into separate columns for easier analysis.

# Step 6: Temporal Analysis
# Convert review_date to datetime format
df['review_date'] = pd.to_datetime(df['review_date'])
# Extract year, month, and day into separate columns
df['year'] = df['review_date'].dt.year
df['month'] = df['review_date'].dt.month
df[&apos...