Problem:

I'm working on a data visualization project where I want to create a bar chart similar to the one shown in this . The image is from a story available here.

My Effort:

I've written Python code using pandas, seaborn, and matplotlib to visualize the data. Here's my code snippet:

import pandas as pdimport seaborn as snsimport matplotlib.pyplot as pltbox = pd.read_csv("box_office_18_23.csv")# Data Cleaningbox["overall_gross"] = box["overall_gross"].str.replace("$", "").str.replace(",", "").astype(int)# Data Analysissns.barplot(x='year', y='overall_gross', data=box)plt.show()

Output:

Here's the output of my code:

Link to Code and Dataset:

I have uploaded my Jupyter Notebook and the relevant dataset (CSV file) to this Google Drive link.

Issue:

While my code runs without errors, the resulting bar chart doesn't match the desired visualization. I'm looking for guidance on how to modify my code to achieve a similar year-wise bar chart as shown in the reference image.

Also if other libraries or tools can do the job , let me know that too.

Thank you for your help!