Data-Visualization/DataVisualizationAndReport.py at main · masmanaci/Data-Visualization · GitHub

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# -*- coding: utf-8 -*-
"""DataVisualizationAndReport.ipynb adlı not defterinin kopyası

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1dInIYUbSimYfnotiIetLWBcMOMoMxAFL
"""

##Report Project

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np

sns.set ( rc = {'figure.figsize': (5,5)})

df = pd.read_csv('world-happiness-report.csv')

df.head(14)

df.info()

df ['Country name'].value_counts()

df.describe().T

df.describe()

from os import mkdir

try:
  mkdir('Plots')
except:
  pass

mypath = 'Plots'

f, axes = plt.subplots(5,2 , figsize=(20,30))
f.tight_layout(pad=8)
f.suptitle('Histogram Plots')
cols = df.select_dtypes(exclude='object').columns

x_axes = 0
y_axes = 0

for col in  cols :
  sns.histplot(data=df, x=col, kde=True, ax=axes[x_axes, y_axes])

  if y_axes == 1:
    y_axes= 0
    x_axes +=1
  else:
    y_axes +=1
plt.savefig('Plots/histogram_plots.png')
plt.show()

f, axes = plt.subplots(5,2 , figsize=(20,30))
f.tight_layout(pad=8)
f.suptitle('Histogram Plots')
cols = df.select_dtypes(exclude='object').columns

x_axes = 0
y_axes = 0

for col in  cols :
  sns.histplot(data=df, x=col, kde=True, ax=axes[x_axes, y_axes])

  if y_axes == 1:
    y_axes= 0
    x_axes +=1
  else:
    y_axes +=1

plt.show()


f, axes = plt.subplots(5,2 , figsize=(20,30))
f.tight_layout(pad=8)
f.suptitle('Box Plots')
cols = df.select_dtypes(exclude='object').columns

x_axes = 0
y_axes = 0

for col in  cols :
  sns.boxplot(data=df, x=col, ax=axes[x_axes, y_axes])

  if y_axes== 1:
    y_axes= 0
    x_axes+= 1
  else:
    y_axes+= 1
plt.savefig('Plots/box_plot.png')
plt.show()

year_group = df.groupby(by='year').sum()

year_group['Positive affect'].plot()
plt.savefig('Plots/Positive_affect_plot.png')

year_group['Negative affect'].plot()
plt.savefig('Plots/Negative_affect_plot.png')

ax1 = sns.barplot(x=year_group.index, y=year_group['Social support'].values)
ax1.tick_params(axis='x' , rotation=90)
plt.savefig('Plots/SocialSupport.png')

sns.set (rc={'figure.figsize': (15,10)})
sns.heatmap(df.corr(), annot= True)
plt.title('Correlation Matrix')
plt.savefig('Plots/Correlation_matrix.png')

sns.jointplot(data=df , x='year', y='Social support')
sns.jointplot(data=df , x='Life Ladder', y='Social support')
plt.savefig('Plots/jointplots.png')

import os
from os import listdir,mkdir

all_files = os.listdir('Plots')
reports = [f'Plots/{file}' for file in all_files]

!pip install FPDF

from fpdf import FPDF

WIDTH = 210
HEIGHT = 297

pdf = FPDF()
pdf.set_font('Arial', 'B', 56)
pdf.add_page()
pdf.cell (180,20, txt='REPORT' , align= 'C')


for report in reports:
  pdf.add_page()
  pdf.set_font('Arial', 'B', 24)
  pdf.cell(190, 20, txt=report, align= 'C')

  pdf.image(report, 5, 30, WIDTH-5)

pdf.output('Countries_report.pdf')