Francisco Cunha Neto fcunhaneto

## paisesPortuguesIngles.sql
--
-- Estrutura da tabela `pais`
--

CREATE TABLE IF NOT EXISTS `pais` (
  `paisId` tinyint(3) unsigned NOT NULL AUTO_INCREMENT,
  `paisNome` varchar(50) NOT NULL,
  `paisName` varchar(50) NOT NULL,
  PRIMARY KEY (`paisId`)
) ENGINE=InnoDB  DEFAULT CHARSET=latin1 AUTO_INCREMENT=253 ;

## wp-bootstrap5.0-pagination.php
<?php
/**
 * @param WP_Query|null $wp_query
 * @param bool $echo
 * @param array $params
 *
 * @return string|null
 *
 * Using Bootstrap 4? see https://gist.github.com/mtx-z/f95af6cc6fb562eb1a1540ca715ed928
 *

## meta-tags.md

      
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                fcunhaneto
                / meta-tags.md
            
            
              Created
              May 31, 2021 13:36
                — forked from lancejpollard/meta-tags.md
            
              
                Complete List of HTML Meta Tags
              
          
    Copied from http://code.lancepollard.com/complete-list-of-html-meta-tags/
Basic HTML Meta Tags

<meta name="keywords" content="your, tags"/>
<meta name="description" content="150 words"/>
<meta name="subject" content="your website's subject">
<meta name="copyright"content="company name">
<meta name="language" content="ES">

  
## opniao-tv-diagrama-pizza.py
import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('/home/francisco/Projects/Pycharm/matplot-pandas-tutorial/'
                 'files/questionario.csv')

"""
Criando um Diagrama de Pizza para a coluna OpTV(Opinião sobre a programação de TV)
"""
optv = df['OpTV']

## optv-diagrama-pizza.py
import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('/home/francisco/Projects/Pycharm/matplot-pandas-tutorial/'
                 'files/questionario.csv')

"""
Criando um Diagrama de Pizza para a coluna OpTV(Opnião sobre a programação de TV)
"""
optv = df['OpTV']

## peso-digrama-barras-fem-mas.py
import pandas as pd
import matplotlib.pyplot as plt
from pandasUteis.pandas_utils import frequency_by_buckets

"""
Criando um histograma comparando os pesos masculino x feminino
"""
fem = df[df.Sexo == 'F']
mas = df[df.Sexo == 'M']
peso_fem = fem['Peso']

## idade-diagrama-de-barra.py
import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('/home/francisco/Projects/Pycharm/'
                        'matplot-pandas-tutorial/files/questionario.csv')

"""
Criando um diagrama de barras para os totais de cada idade
"""
idade = df['Idade']

## alturas-boxplot-geral-fem-masc.py
import pandas as pd
import matplotlib.pyplot as plt

"""
Criando um boxplot para a coluna alturas, e para as alturas femininas e
masculinas
"""
df = pd.read_csv('questionario.csv')

alt = df['Alt']

## pandas-utils-2.py
import numpy as np
import pandas as pd

def frequency_by_buckets(dataframe, column, r, ini, end):
    """
    Creates a dataframe with cumulative values within a range, which are called
    buckets.
    Dataframe output example:

               tot  freq  tot_ac  freq_ac

## peso-histograma-mas-x-fem.py
import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('/home/francisco/Projects/Pycharm/'
                        'matplot-pandas-tutorial/files/questionario.csv')

"""
Criando um histograma comparando os pesos masculino x feminino
"""
fem = df[df.Sexo == 'F']
	--
	-- Estrutura da tabela `pais`
	--

	CREATE TABLE IF NOT EXISTS `pais` (
	`paisId` tinyint(3) unsigned NOT NULL AUTO_INCREMENT,
	`paisNome` varchar(50) NOT NULL,
	`paisName` varchar(50) NOT NULL,
	PRIMARY KEY (`paisId`)
	) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=253 ;
	<?php
	/**
	* @param WP_Query\|null $wp_query
	* @param bool $echo
	* @param array $params
	*
	* @return string\|null
	*
	* Using Bootstrap 4? see https://gist.github.com/mtx-z/f95af6cc6fb562eb1a1540ca715ed928
	*
	import pandas as pd
	import matplotlib.pyplot as plt

	df = pd.read_csv('/home/francisco/Projects/Pycharm/matplot-pandas-tutorial/'
	'files/questionario.csv')

	"""
	Criando um Diagrama de Pizza para a coluna OpTV(Opinião sobre a programação de TV)
	"""
	optv = df['OpTV']
	import pandas as pd
	import matplotlib.pyplot as plt
	from pandasUteis.pandas_utils import frequency_by_buckets

	"""
	Criando um histograma comparando os pesos masculino x feminino
	"""
	fem = df[df.Sexo == 'F']
	mas = df[df.Sexo == 'M']
	peso_fem = fem['Peso']
	import pandas as pd
	import matplotlib.pyplot as plt

	"""
	Criando um boxplot para a coluna alturas, e para as alturas femininas e
	masculinas
	"""
	df = pd.read_csv('questionario.csv')

	alt = df['Alt']
	import numpy as np
	import pandas as pd

	def frequency_by_buckets(dataframe, column, r, ini, end):
	"""
	Creates a dataframe with cumulative values within a range, which are called
	buckets.
	Dataframe output example:

	tot freq tot_ac freq_ac