File size: 1,176 Bytes
368b910
 
 
 
 
 
 
e30b335
368b910
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
import pandas as pd
import streamlit as st
import plotly.express as px


st.set_page_config('Dashboard',':bar_chart:',layout='wide')

#st.title=(':bar_chart: Sales Dashboard')
#st.markdown('##')

df= pd.read_excel(
    io='pd1.xlsx',
    #sheet_name='Ark1',
    #skiprows=3,
    #usecols='A,C:F',
    #nrows=10,
)


#st.dataframe(df)


st.sidebar.header('Please filter here')


city=st.sidebar.multiselect('Select the City:',df['City'].unique(),default=df['City'].unique())

customer_type=st.sidebar.multiselect('Select the customer type:',df['Customer_type'].unique(),default=df['Customer_type'].unique())

gender=st.sidebar.multiselect('Select the Gender:',df['Gender'].unique(),default=df['Gender'].unique())

#Filter
df_selection = df.query(
    "City == @city & Customer_type == @customer_type &  Gender == @gender"
)

st.dataframe(df_selection)


total=int(df_selection['Total'].sum())
rating=round(df_selection['Rating'].mean(),1)
star=":star:" * int(round(rating,0))

lc,rc =st.columns(2)

with lc:
    st.subheader('Total Sales:')
    st.subheader(f'$ {total:,}')

with rc:
    st.subheader('Average Rating:')
    st.subheader(f'{rating} {star}')

st.markdown('---')