This academic research explicit the data-set of academic difficulties among different age groups of students studying in various schools, colleges or Universities during the COVID-19 induced lockdown. The western part of Uganda comprises 26 districts and the survey was conducted in those regions employing a simple random sampling technique. The dataset is descriptive and an aggregate of 405 students participated in this survey. Among that, 253 students are from rural regions, 59 students are from semi-urban regions and 93 students are from urban regions. This survey was started in April 2020 and data were collected till June 2020. A statistical run was made with the aid of SPSS version 20 software to evaluate the significance level (
P
-Value<0.05) of each question among the localities.
This work is to explicate the data collected during the turning of AISI 1045 alloy steel components in near dry condition with emulsified cutting fluids prepared from cooking oils such as Palm oil and Peanut oil. The base oils are tested for its relative density, viscosity and flash point following ASTM
standards
. Highly influencing turning factors are identified and the experiments are planned and arranged using Taguchi's L
27
(3
5
) orthogonal array, the experiments are repeated to reduce the errors. The quality aspect of machined components and the machining interface temperature is observed as the outcomes. The prediction models are created for the experiments through regression analysis.
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