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| Attributes | Significant attribute description | Type |
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| Country | The data of three countries India, Nepal, and Kenya are combined derived from precursor data | Independent |
| Year | We have considered the data for the span of 5 years (2015-2019), and it has been derived from the period at which the earthquake occurred above mentioned countries | Independent |
| New_time_ist_ hour | The time at which earthquake occurred is obtained by converting the local time of Nepal and Kenya to Indian standard time and included data which already have Indian time | Independent |
| Day_period | The day was bucketed into 6 slices like the readings of the day are grouped into six categories, early morning (2 am to 5 am), morning (6 am to 9 am), afternoon (10 am to 12 pm) late afternoon (1 pm to 4 pm) evening (5 pm to 9 pm), and late evening (10 pm to 1 am) | Independent |
| Weekdays | The name of the specified week of the day is represented by the name like 1st, 2nd, 3rd, and 4th week | Independent |
| Timestamps | It is considered the date and time of country I; here, it is Indian standard time and date | Independent |
| Local_time | Nepal is 15 minutes ahead, thus the conversion of local time of Nepal to India; Kenya local time is 2.5 hours behind India, thus conversion of Kenya time to India | Independent |
| Day | Whether the time of occurrences is during day or night time | Independent |
| Weekend | Whether the day of occurrence is weekend or not | Independent |
| Country_India | Out of three countries which country India’s time is considered by conversion of other countries | Independent |
| Year_2015 | Out of five different years, individual year 2015 based on the mean data of that specified year | Independent |
| Year_2016 | Out of five different years, individual year 2016 based on the mean data of that specified year | Independent |
| Year_2017 | Out of five different years, individual year 2017 based on the mean data of that specified year | Independent |
| Year_2018 | Out of five different years, individual year 2018 based on the mean data of that specified year | Independent |
| Q1 | Quarter is divided into four categories like summer, winter, autumn, or spring; it is Q1 of the year summer having high temp | Independent |
| Q2 | Quarter is divided into four categories like summer, winter, autumn, or spring; it is Q2 of the year winter having low temp | Independent |
| Q3 | Quarter is divided into four categories like summer, winter, autumn, or spring; it is Q3 of the year autumn having moderate temp | Independent |
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