Hi, Neeraj Jangid!
Thanks for sharing. I like data visualization but prefer using Orange in this case. It is an open-source data visualization, machine learning, and data mining toolkit. It features a visual programming front-end for explorative data analysis and interactive data visualization, and can also be used as a Python library.
You can see data graphs examples, what we did in our last research. Link:
https://pro100blogger.com/2019/06/htobnovlenie-algoritma-google-iyun-2019.htmlCould You suggest free IBM software for data-mining?
I will also appreciate more future posts.
Best regars,
------------------------------
Viacheslav Varenia
------------------------------
Original Message:
Sent: Fri September 13, 2019 11:33 PM
From: Neeraj Jangid
Subject: R Libraries: GGPLOT2 - Grammar of Layered plots for Data Visualization
Greetings,
We, humans, are more visual as we retain visual memory longer than just observing numeric matrices.
We better understand numeric relationships from plots rather than observing CSV files
We can make better data-driven decisions seeing the plots and the outliers
Thus, it goes unsaid that we need to better understand how we plot data graphs, how we can me make them multidimensional and much more interactive that, a 4x4-inch plot tell us maximum insights for a 1000 rows of data. And ggplot2 an R-library which helps us customize our visual plots as per our needs. Thus, empower us to make the type of plots we want and visual representation of plot we want.
Learn the best of plotting techniques in the next blog: R Libraries: GGPLOT2 - Grammar of Layered plots for Data Visualization
| Introduction Not everyone is a fan of matrix of numbers, its hard to make sense to a 2 dimensional matrix but, once we have a visual plot of these numbers we can start understanding the relation be… thedatum.data.blog |
Yes, you get to learn the grammar of plots and how a single plot is built out of multiple layers, where each layer can be customized. Like, share and subscribe to The Datum if you are interested in the Science of Data Science and Machine Learning and join the fleet of 75 countries.
Your Data Scientifically,
The Datum
------------------------------
Neeraj Jangid
------------------------------
#GlobalAIandDataScience
#GlobalDataScience