The dataset has been successfully loaded. It contains columns such as scraped_date, rank, product_name, price, rating, url, asin, previous_rank, rank_change, new_entry, previous_price, price_change, price_change_rate, and unnamed:_13.

To visualize the correlation between price_change and rank, we first need to ensure that the price_change column is numeric. Let's convert it to a numeric type and then plot the correlation.

It seems that the price_change column contains non-numeric values such as 'NEW', which have been converted to NaN. This means we don't have valid numeric data in the price_change column to analyze the correlation with rank.

To proceed, we would need valid numeric data in the price_change column. If you have any other data or questions, feel free to ask!

It seems there was an error related to exporting the image using the kaleido package, even though it was installed. This might be due to an environment issue where the package is not being recognized correctly.

To resolve this, you can try the following steps:

Let's proceed by displaying the plot directly without attempting to export it.