Projects

Project AJNAajna-small

 

Ajna (Sanskrit: आज्ञा, IAST: Ājñā, English: “command”) or third-eye Chakra is the sixth primary chakra of the seven centres of spiritual power in the human body according to Hindu tradition. It is believed that awakening this chakra gives super powers of intuition.

Ajna is a web tool based on R Shiny and Bootstrap, intended to help in the process of Exploratory Data Analysis.

So far there is no target audience (business users, data analysts, etc.). It was created in the spare time during the last 2 days to explore R Shiny with Bootstrap. I think I will define the target on-the-fly. I just wanted to take it from the idea stage, implement and share as a skeleton, so people can build upon.

To access the web tool, use the following link: https://ekamioka.shinyapps.io/ajna/

To test the tool, I suggest to download and use this file: wine.csv

I am still working on the functionalities, but I hope soon release the newest version and also publish the code in my GitHub account.

Version 1 – Functionalities:

1 – Load data and order data by column

2 – Univariate analysis (descriptive statistics and histogram)

3 – Bivariate analysis (Scatter Plot, Basic Time Series Plot with Loess Smooth, Line Interpolation Options Plot and Pair Correlation Plot)

4 – Multivariate analysis (Correlation Plot)

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Any feedback is very important. If you used the tool and want to suggest a functionality, please, leave a message in the contact form.

 

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SOON THE FOLLOWING PROJECTS WILL BE RELEASED
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Project f0tp – From 0 to Prediction

1 – Collaboratively build a roadmap guiding the data analysis procedures and steps from zero to prediction.

2 – It should be like a checklist with the “best-practices” steps to be taken or avoided

3 – It should say 5W2H for each step (What to do, Why do it, When will do, Where, How, How much)

4 – For each step, suggest related tools, methods, lectures, researches, etc… that will help complete that step

Structure [ Processes > Procedures > Steps ]

Major Processes: 1 – Getting and Cleaning 2 – Exploratory Data Analysis 3 – Building Statistical Model

Project ADA

Semantic + Data Analysis + Automation

Project SICR – SensitiveInformationClassificationRobot

Project Data science + Context + Signals

 

 

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