from sqlalchemy import create_engine
import pandas as pd
from database import Report
from AnalyseData import Analyse
from visualization import *
engine = create_engine('sqlite:///db.sqlite3')
Session = sessionmaker(bind=engine)
sess = Session()
st.title('Cummunicable Disease Analysis')
st.text("")
st.text("")
sidebar = st.sidebar
tbAnalysis = Analyse('datasets/tuberculosis.csv')
malAnalysis = Analyse('datasets/malaria.csv')
def viewDataset():
st.header("Dataset Details")
datasetNames = ['Malaria Dataset', 'Tuberculosis Dataset']
selData = st.selectbox(options=datasetNames,
label="Select the Dataset to View Details")
st.text("")
st.text("")
if selData == datasetNames[0]:
data = malAnalysis.getDataset()
st.dataframe(data)
elif selData == datasetNames[1]:
def loadSeaData():
return Analyse("dataset/sea_levels.csv")
'Top 20 Countries with Most Fully Vaccinated People',
'Country Name', 'No. of Vaccinations'))
st.text("")
st.plotly_chart(
plotChloropeth(data,
'Total people fully Vaccinated in world countries',
'Country Name', 'No. of Vaccinations'))
st.markdown("---")
sidebar.header('Choose Your Option')
options = [
'View Dataset', 'Analyse Manufacturers', 'Analyse Country',
'Analyse Country By Vaccine'
]
choice = sidebar.selectbox(options=options, label="Choose Action")
with st.spinner("Please Wait for Some Time..."):
analysis_mnf = Analyse("datasets\manufacturer.csv")
analysis_cnt = Analyse("datasets\country.csv")
if choice == options[0]:
viewDataset()
elif choice == options[1]:
analyseManufacturers()
elif choice == options[2]:
countrywiseAnalysis()
elif choice == options[3]:
vaccineAnalysis()
def loadEconomicData():
return Analyse("dataset/natural-disasters-loss.csv")
def loadFloodData():
return Analyse("dataset/flood_damage.xls")
def loadTempData():
return Analyse("dataset/Environment_Temperature_change.csv")
def loadDisasterData():
return Analyse("dataset/natural-disaster-events.csv")
import streamlit as st
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
import pandas as pd
from database import Report
from visualization import plot, plotBar, plotLine
from AnalyseData import Analyse
engine = create_engine('sqlite:///db.sqlite3')
Session = sessionmaker(bind=engine)
sess = Session()
analysis = Analyse("datasets/dataset.csv")
st.title('Mobile Ads CTR EDA')
sidebar = st.sidebar
def viewForm():
title = st.text_input("Report Title")
desc = st.text_area('Report Description')
btn = st.button("Submit")
if btn:
report1 = Report(title=title, desc=desc, data="")
sess.add(report1)
sess.commit()
st.success('Report Saved')
import streamlit as st
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
import pandas as pd
from database import Report
from visualization import *
from AnalyseData import Analyse
engine = create_engine('sqlite:///db.sqlite3')
Session = sessionmaker(bind=engine)
sess = Session()
analysis = Analyse()
st.title('Data Analysis in Mental Health Care')
st.image('logo.jpg')
st.markdown("---")
sidebar = st.sidebar
def viewForm():
st.plotly_chart(plot())
title = st.text_input("Report Title")
desc = st.text_area('Report Description')
btn = st.button("Submit")
if btn:
report1 = Report(title=title, desc=desc, data="")
def load2020Data():
return Analyse('datasets/unemployment2020.csv')
def loadWorldData():
return Analyse('datasets/unemployment.csv')
def loadIndiaData():
return Analyse('datasets/india.csv')
import streamlit as st
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
from AnalyseData import Analyse
from visualization import *
engine = create_engine('sqlite:///db.sqlite3')
Session = sessionmaker(bind=engine)
sess = Session()
regionAnalysis = Analyse('datasets/WHOregionLifeExpectancyAtBirth.csv')
healthAnalysis = Analyse('datasets/HALElifeExpectancyAtBirth.csv')
regionHealthAnalysis = Analyse(
'datasets/HALeWHOregionLifeExpectancyAtBirth.csv')
lifeExpectancyAnalysis = Analyse('datasets/LifeExpectancyAtBirth.csv')
st.title('Data Analyst On Life Expectancy in Human')
sidebar = st.sidebar
def viewDataset():
st.header('Data Used in Project')
dataframe = regionAnalysis.getDataframe()
with st.spinner("Loading Data..."):
st.dataframe(dataframe)
st.markdown('---')
cols = st.beta_columns(4)
import streamlit as st
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
import pandas as pd
from database import Report
from visualization import *
from AnalyseData import Analyse
engine = create_engine('sqlite:///db.sqlite3')
Session = sessionmaker(bind=engine)
sess = Session()
analysis = Analyse("datasets/vgsales.csv")
st.title('Video Games Sales Analysis')
st.image(
"https://blog.vinfotech.com/sites/default/files/styles/blog-list-img-new/public/how-to-build-a-successful-real-money-gaming-website-banner.png?itok=MJI4LKyG"
)
st.markdown("""
##### Made By - Rohan Kr Ojha
""")
st.markdown("----")
sidebar = st.sidebar
def viewDataset():
st.markdown("""