Automated Data Analysis and Visualization Application
1Omkar Adhikrao Surve, CSE(DS) Department, D. Y. Patil College of Engineering and Technology, Kolhapur,
omsurve1915@gmail.com
2VijayKumar Dattatray Patil, CSE(DS) Department, D. Y. Patil College of Engineering and Technology, Kolhapur,
vijaykumarpatil9602@gmail.com
3Mahantesh Malgonda Patil, CSE(DS) Department, D. Y. Patil College of Engineering and Technology, Kolhapur,
mahantesh.patil.official@gmail.com
4Ajinkya Narayan Bhoi, CSE(DS) Department, D. Y. Patil College of Engineering and Technology, Kolhapur, ajinkyabhoi07@gmail.com
5Arinjay Sandeep Patil, CSE(DS) Department, D. Y. Patil College of Engineering and Technology, Kolhapur, arinjaypatil28@gmail.com
6Tejashree Gurav, CSE(DS) Department, D. Y. Patil College of Engineering and Technology, Kolhapur, tejashreegurav243@gmail.com
ABSTRACT:-
Automated data analysis and visualization have become esse ntial products in the era of big data, artificial intelligence and machine learning. This research paper explores the advance s, challenges, and future directions in data analysis and visua lization techniques. This article begins by discussing the impo rtance of automation in processing large and complex data, a s well as its role in improving the efficiency, accuracy, and eff iciency of data analysis activities. Algorithms such as machin e learning algorithms, statistical methods, and natural langua ge processing techniques. It also explores the integration of d ata processing techniques such as data cleaning, transformati on, and optimization to improve the quality of evaluation res ults. Additionally, this article examines the evolution of auto mated data visualization tools and platforms, highlighting the ir role in transforming raw data into visual insights. He discu sses the benefits of visualizing the invisible, such as streamlini ng data exploration, pattern discovery, and decision-making. interpretation and moral reasoning. This article offe rs solutions and best practices to solve these problems, highli ghting the importance of transparency, fairness, and account ability in the use of available information. Future directions a nd trends. This research article provides an overview of the c urrent state, challenges, and future opportunities for the use of data analytics and insights for researchers, experts, and po licymakers in harnessing the potential of automation for deci sion-making and innovation.
Keywords: -
Automation, Data analysis, Data visualization, Machine learning algorithms, Transparency
