Hi, I'm Sudip Pradhan
A passionate data analyst to Uncover the Story in Every Dataset.
As a passionate data science and machine learning enthusiast pursuing a Bachelor’s in Computer Science and Information Technology, I am deeply committed to continuous learning and innovation.With a keen interest in uncovering patterns within complex datasets, I thrive in the world of algorithms and predictive models.
My academic journey has not only equipped me with a solid foundation in programming and data analytics but has also ignited a lifelong passion for transforming raw data into actionable insights, driving smarter decisions and impactful solutions
A passionate data analyst to Uncover the Story in Every Dataset.
As a passionate data science and machine learning enthusiast pursuing a Bachelor’s in Computer Science and Information Technology, I am deeply committed to continuous learning and innovation.With a keen interest in uncovering patterns within complex datasets, I thrive in the world of algorithms and predictive models.
My academic journey has not only equipped me with a solid foundation in programming and data analytics but has also ignited a lifelong passion for transforming raw data into actionable insights, driving smarter decisions and impactful solutions
Name: John Doe
Role: Full-Stack Developer
Skills: JavaScript, React, Node.js, Python
Bio: Passionate about building scalable web applications.
This is a data analysis on Amazon top 50 best selling books between 2009 AD to 2019 AD. In this project a visualized analysis is done on the available data. After performing analysis thoroughly, the following result were gathered.The gif animation here shows the changes of user rating over the period of time.
With the thouroughful analysis, we can conclude that, Jeff Kinney stand out to be the best selling author over the 10 year period. The graph shows the increasing the user rating when the price of the book is increase. This means, with increasing book price, user satisfaction increased which is a good sign for sustaining business.
| Author | No. of books sold(2009-2019) |
|---|---|
| Jeff Kinney | 12 |
| Gary Chapman | 11 |
| Rick Riordan | 11 |
| Suzanne Collins | 11 |
| American Psychological Association | 10 |
The bar chart depicts the preference of users for non-fiction books over fiction books. Over the 10-year period from 2009 to 2019, the highest user rating for non-fiction books was recorded in 2014, while the lowest rating was observed for fiction books in the same year. Interestingly, fiction books managed to outperform non-fiction in 2014 despite this trend
The overall user rating was better for Non-Functional books every year when exceptional events are ignored. Over the 10 year period, the performance of Non-Fictional increased while it decreases for Fictoinal books.
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