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International Journal of Scientific and Research Publications

IJSRP, Volume 13, Issue 4, April 2023 Edition [ISSN 2250-3153]


Exploratory Data Analysis and Data Visualization on Meteorite Landings on Earth Using Python
      SAFIA HINA
Abstract: During the initial evolving days of programming languages, Programmers performed basic to complex mathematical computations using programming languages, but with the emergence of competitive programming languages data can be analysed, cleaned and visualized for better understanding. In this paper, we will use NASAs meteorite landings dataset(Open source data from NASA’s Meteoritical Society) and perform the data visualization to find the unique chondrites that have fallen on the earth surface. Long before the Earth and other planets existed, the solar system consisted of a protosun and an immense, dense cloud of gases and silicate/metal dust particles. This pre- planetary system is called the Proto Solar nebula (PSN). Over time the dust grains began to stick together (accreted) to form fluffy dust balls that accumulate (accrete). High-temperature events during the collapse of the PSN melted these dust balls into molten drops that quickly cooled (quenched) into a glass and tiny minerals. These millimetre-sized spherical objects resemble "fiery drops of rain" and are called chondrules. The meteorites that contain chondrules are called chondrites.

Reference this Research Paper (copy & paste below code):
SAFIA HINA (2023); Exploratory Data Analysis and Data Visualization on Meteorite Landings on Earth Using Python; International Journal of Scientific and Research Publications (IJSRP) 13(04) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.13.04.2023.p13625

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