Dataiku solutions By Dheerendra Yadav

 import streamlit as st import numpy as np import pandas as pd import altair as alt from st_aggrid import AgGrid, GridOptionsBuilder from pyspark.sql import SparkSession import re try:     st.set_page_config(layout="wide") except:     pass col1, col2 = st.columns([2,8]) with col1:      st.image('logo.jpg',width=100) spark = SparkSession.builder \ .remote("abc://host:xxx") \ .enableHiveSupport().getOrCreate() #df = spark.sql("SELECT * FROM db.table") @st.cache_data() def load_data():     #df = pd.read_csv('C:/Users/Downloads/xx.csv')     df1 = spark.sql("SELECT * FROM db.table")     df=df1.toPandas()     return df df=load_data() #df=df.toPandas() new_title = '<center><p style="font-family:sans-serif; color:Black; font-size: 20px;><h1 style="text-align:center">Self Service Portal</h1></p></center>' st.markdown(new_title, unsafe_allow_html=True) background_color = "#F0FF...

  import streamlit as st import pandas as pd import numpy as np import altair as alt import dataiku #st.title('Selfserve reports!') cust_ds = dataiku.Dataset( "name of dataset" ) df = cust_ds.get_dataframe() #create list of countries cntry_lst=df[ "city" ].unique() #create list of countries year_lst=df[ "yearmonth" ].unique() #sel = st.selectbox('Select Market',cntry_lst, key='sel') cust_seg=df[ "customer_segment_current" ].unique() sel=st.multiselect( 'Select City' , cntry_lst, default= None ,key= 'sel' ) yrs=st.multiselect( 'Year(s)' , year_lst, default= None ,key= 'yrs' ) segment=st.multiselect( 'Segment(s)' , cust_seg, default= None ,key= 'seg' ) df = df[df[ "city" ].isin (sel) & df[ "yearmonth" ].isin (yrs)] df2 = df[df[ "customer_segment_current" ].isin (segment)] #Select dim dim = df2[[ 'city' #,'yearmonth' , ...