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import pandas as pd
import plotly.express as px
import streamlit as st
st.set_page_config(
page_title='Data Analytics Portal',
page_icon='📊'
)
st.title(':blue[📊 Data Analytics Portal]')
st.subheader(':grey[ An easy way to Analyse Data!!]', divider='green')
file = st.file_uploader('Drop CSV or Excel file', type=['csv', 'xlsx'])
if file:
if file.name.endswith('csv'):
data = pd.read_csv(file)
else:
data = pd.read_excel(file)
st.dataframe(data)
st.info('File is successfully Uploaded', icon='🚨')
st.subheader(':blue[Basic information of the dataset]', divider='green')
tab1, tab2, tab3, tab4 = st.tabs(['Summary', 'Top and Bottom Rows', 'Data Types', 'Columns'])
with tab1:
st.write(f'There are {data.shape[0]} rows in dataset and {data.shape[1]} columns in the dataset')
st.subheader(':gray[Statistical summary of the dataset]')
st.dataframe(data.describe())
with tab2:
st.subheader(':gray[Top Rows]')
toprows = st.slider('Number of rows you want', 1, data.shape[0], key='topslider')
st.dataframe(data.head(toprows))
st.subheader(':gray[Bottom Rows]')
bottomrows = st.slider('Number of rows you want', 1, data.shape[0], key='bottomslider')
st.dataframe(data.tail(bottomrows))
with tab3:
st.subheader(':grey[Data types of column]')
st.dataframe(data.dtypes)
with tab4:
st.subheader('Column Names in Dataset')
st.write(list(data.columns))
st.subheader(':blue[Column Values To Count]', divider='green')
with st.expander('Value Count'):
col1, col2 = st.columns(2)
with col1:
column = st.selectbox('Choose Column name', options=list(data.columns))
with col2:
toprows = st.number_input('Top rows', min_value=1, step=1)
count = st.button('Count')
if count:
result = data[column].value_counts().reset_index().head(toprows)
st.dataframe(result)
st.subheader('Visualization', divider='gray')
fig = px.bar(data_frame=result, x=column, y='count', text='count', template='plotly_white')
st.plotly_chart(fig)
fig = px.line(data_frame=result, x=column, y='count', text='count', template='plotly_white')
st.plotly_chart(fig)
fig = px.pie(data_frame=result, names=column, values='count')
st.plotly_chart(fig)
else:
st.warning('Please upload a CSV or Excel file to get started', icon='⚠️') |