DataSet :
http://dados.recife.pe.gov.br/dataset/eb2e99fa-7cd8-4d19-b58f-6e2cc011ee95/resource/6f9fe2d4-f11d-47f0-9584-323a35ef5748/download/alunos2014.csv
Start with the 3 imports, with command In [3]: I import for the work space the file students2014.csv, the parameter delimiter = ';' and the text separator in the csv file, the database is very large, it is information of 91,165 as shown by the .shape function in the In input [7]: I request the 29 data columns of the dataset for analysis.
All the columns related to deficiencies are of the Boolean type, keeping the number 0 for false and 1 for true, then the out: [19] informs us that 87,780 students do not have a disability and 3,374 have some type of disability.
Each deficiency and framed between two types, physical and intellectual, reveals that both the sum of the "1" and negative "0" values of out [31]: as of out [39]: refers to the total number of disabled people shown in the step above 3374, we then have 2412 intellectually disabled and 363 physically disabled.
Assembling the function that displays the graph, we'll talk about functions later
plot
Listing the 7 cities where the pupils were born interviewed, using the method of pandas value_counts () passing as parameter the column 'municipio_numero' of the alunos dataset
http://dados.recife.pe.gov.br/dataset/eb2e99fa-7cd8-4d19-b58f-6e2cc011ee95/resource/6f9fe2d4-f11d-47f0-9584-323a35ef5748/download/alunos2014.csv
Start with the 3 imports, with command In [3]: I import for the work space the file students2014.csv, the parameter delimiter = ';' and the text separator in the csv file, the database is very large, it is information of 91,165 as shown by the .shape function in the In input [7]: I request the 29 data columns of the dataset for analysis.
All the columns related to deficiencies are of the Boolean type, keeping the number 0 for false and 1 for true, then the out: [19] informs us that 87,780 students do not have a disability and 3,374 have some type of disability.
Each deficiency and framed between two types, physical and intellectual, reveals that both the sum of the "1" and negative "0" values of out [31]: as of out [39]: refers to the total number of disabled people shown in the step above 3374, we then have 2412 intellectually disabled and 363 physically disabled.
Assembling the function that displays the graph, we'll talk about functions later
