The given data is about cubes which are used for advanced vertical farming. You can insert seeds and they will be grown automatically, the cube controls e.g. watering, ventilation, lighting etc. The cubes are connected via wifi to our backend where multiple signals from the cubes (e.g. temperature) are monitored. The cubes have two separate layers where plants can be grown (A and B). Usually the data is dumped in a json format but we converted them for you into a .csv format.
My Take on dataset
Not much attributes are provided here, so
Task 1
According to dataset cube id is used for mark of identification for many tasks.
here, they have provided 2 different layers so i can compare between both of them.
with this comparison i will choose a layer for my farming.
Task 2
In Data cleaning remove the unwanted data
Visualize them according to layerA and layerB like pie chart comparison
explain the findings
so, according to the result (probably apply clustering algorithm, it may provide u (Some of the cubes do not behave like the others) the required result. and visualize them again.
