Purna Surekha Nemmaluri’s Post

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Msc Data Science | Data Analyst | Data Science Intern | Python Developer | Full Stack Developer

As part our (NEMMALURI JYOTHI SAI SAROJA) internship, We explored the fascinating world of near-Earth objects (NEOs) or asteroids that are potentially dangerously close to Earth. For this project, a correlation matrix had to be analyzed in order to determine how different NEO properties related to one another. In the matrix, the correlation coefficient between est_diameter_min and est_diameter_max is 1, which is not surprising since these are just two different estimates of the same property. The correlation coefficient between relative_velocity and miss distance is 0.33, which means there is a weak positive correlation between these two variables. This means that NEOs that are moving faster relative to Earth tend to have larger miss distances. The correlation coefficient between absolute_magnitude and hazardous is -0.37, which means there is a weak negative correlation between these two variables. This means that brighter NEOs (lower absolute magnitude) tend to be less hazardous. #asteroids #space #internship #research #correlation #spaceexploration #datascience #dataanalysis #hazardous

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