Hai, What's up guys
Stay tuned with me
https://airasiaacademy-simple-iris-flower-prediction.streamlit.app/
Hai, What's up guys
Stay tuned with me
https://airasiaacademy-simple-iris-flower-prediction.streamlit.app/
Hai, What's up guys
Stay tuned with me
https://airasiaacademy-simple-iris-flower-prediction.streamlit.app/
: Muhammad Yusri (Yushii)
As my first experience in data analytics, it gave me a better understanding of data and helped me make better decisions. Otherwise, through the data analytics, it leads me to learn more about how to understand the data. In this journey, I have better understood how to use numerical and categorical data. Moreover, when R programming begins, it is very challenging for a new beginner, but after going through all the courses and training, it makes me better able to analyse problems, learn how to use data types, and make data visualisations.
As a new beginner, the biggest challenge is understanding how to work with the data. In programming languages and how to plot the code, I need to understand everything from the basic data structure to understanding and cleansing the data. In this way, hands-on learning with the team gives me an overview of how to encounter my challenges.
My team and I had completed the project successfully. The project title is Churn regarding the telecom users that analyse consumer purchase behaviour based on existing customers' states, which are dependent on subscription plan choices.
Teammate Video, Churn in R Programming Project
With all the specific moments, we had to get the data of what happened, which is the output presented through visualisation, diagnostic the data to interprete the reason. All in all, my team and I tried to predicted through forecasting to investigate the specific area, such as West Virginia, that needs optimising the pricing issue regarding charges via plans. Herewith is an example of a project that has been done.
Example of the project (Numerical vs Numerical):-
All in all, R programming helps me in clear picture to analyzed and make decision making for future businesses.