greatti / crime_rate

This is a project made by me to study CrimeRate in Maringá(PR) using Pandas and Seaborn in Python.

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A study of Crime rate in Maringá PR

This is a study i made in my city about the influences of investment in Sports in Crime rate / 100mil habitants. In this study i used pandas and seaborn but at some points i could have used matplotlib too. I wanted to prove that when the government invests in sports we can have a decrease in crime rate, obviusly not only because of that, but it influences. To prove that, i searched for number of "bolsas", investment in sports and crime rate over the years, and the data i could find was:

ANO INVESTMENT CRIME/100MIL Bolsas_Atleta
2014 11440026.92 14.30 0
2015 12929562.23 10.82 0
2016 14225490.86 10.42 0
2017 11752956.73 12,76 300
2018 12802882.11 7.09 350
2019 20453140.61 3.06 433
2020 18475176 5.67 557

(This table you can also download the .PNG or the sheet in greatti/crime_rate/images and greatti/crime_rate/data respectivaly)














We conclude from this two plots that as investments increased, the number of "Bolsas" also increases and the "Crime rate" decreased, that means that more people sought to obtain the athlete scholarship and the criminality at Maringá decreased

This next image is a plot of the 3 variables we were studying over the years, and we can say that once the Investments were growing, the search for athlete scholarship were growing too, and at the same time the crime rate suffered a decrease, it is concluding that this 3 variables are linked.

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This is a project made by me to study CrimeRate in Maringá(PR) using Pandas and Seaborn in Python.


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