Jupyter Notebook - For a better data analysis and visualizations
Updated April 07, 2021
Jupyter Notebook - For a better data analysis and visualizations
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Jupyter Notebook
Jupyter Notebook is being used currently at my organization to handle data in any of the forms including csv, excel, json, etc. We use python and a lot of flexible libraries in it to do data analysis on our banking information like documents, statements, reports etc. and draw visualizations on it.
- Data Analysis
- Visualizations
- Documentation
- Limited Markdown Styling
- Complex to handle multiple kernels
- Difficult python code styling
- It is open-source so completely free to use with regular updates
- Helps to draw analysis, visualizations to make better decisions
- Helped in making good business banking decisions
With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.
Do you think Jupyter Notebook delivers good value for the price?
Yes
Are you happy with Jupyter Notebook's feature set?
Yes
Did Jupyter Notebook live up to sales and marketing promises?
Yes
Did implementation of Jupyter Notebook go as expected?
Yes
Would you buy Jupyter Notebook again?
Yes