Past vs Present vs Future At GIGIH 2021
Before participating in the GIGIH Generation activity, what is known about a data analyst is analyzing the data used, then the data will be managed and form a data model that will be presented or visualized so that it is easily understood and understood by others based on the data that has been processed.
It turns out that after participating in the activities in the GIGIH generation, more precisely on the data analysis path, the role of this analytical data is crucial in determining the direction of motion of the data to be used, if the data used is poor data, the results will affect the data obtained. The point is that if the data used is not useful or of good quality then the results of the analysis obtained will most likely be useless, to overcome this the first thing to do is to do data sorting or known as data cleansing.
In processing data cleansing, the data that has been obtained will be re-checked first whether the data obtained is good or not, if the data obtained is not good, it will usually be checked or re-examined from where the data was obtained, if the data obtained is good then the data will be processed and separate the error data which will then be entered into the modeling and finally the data will be represented in a visual form.
In technical class activities, what I personally like in solving the problems given is how participants are asked to solve problems, to solve problems we give a period of approximately 15–20 minutes to discuss in one room consisting of approximately 6 people. To solve the problem, the first thing to do is to describe the problem based on the stages that must be done, maybe for some people this is boring from a third person point of view.
This is precisely the art of analyzing a data, where in a group where we exchange ideas, hypothesize, and describe the contents of each member’s head to solve the problem. Starting from the approach taken, the data assumptions used, as well as the methods used to solve the existing problems, but in this activity the data provided is mostly not provided where this creates a bit of ambiguity in solving the problem.
Thinking to solve problems can be used and applied in everyday life where when we face a problem we have to look at it from various sides, think critically, and especially how to deal with existing problems.
