This project is a basic data science project that uses much of the knowledge gained so far. Description: You are to analyze the data in a file called CaCovid19Data.csv. This file contains daily of records of the Covid cases for the State of California from February 1, 2020, through July 18, 2023. This file is a somewhat cleaned and scrubbed version of a file available from the CDC. Typical of the scrubbing and cleaning process, this file is missing some records and fields and thus does not represent a totally accurate picture. The file is in a CSV (comma separate values) format. Each row in the file contains the following information on each county in the California: : 1) Date 2) County 3) Type: ignore this field. 4) Population: the population of the county on this date. Note, for purposes of calculating the metrics for the report assume that the population remains static for the four-year period, so, pick one of the population values for the county and use it in your computations. . 5) Cases: the number of Covid19 cases on this date. 6) Cumulative Cases: ignore. 7) Deaths: the number of reported deaths due to Covid19 on this date. 8) Cumulative Deaths: ignore. 9) Total Tests: the number reported Covid19 tests performed on this date. 10) Cumulative Total Tests: ignore. 11) Positive Tests: the number of reported Covid19 positive tests. 12) Cumulative Positive Tests: ignore