Spaces:
Sleeping
Sleeping
File size: 2,049 Bytes
d967ec4 e923919 d967ec4 e923919 d967ec4 e923919 d967ec4 e923919 d967ec4 e923919 d967ec4 e923919 d967ec4 e923919 | 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 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 | import streamlit as st
import pandas as pd
import plotly.express as px
st.title("📊 DASHBOARD KPI MONITORING DAILY")
# Upload CSV
uploaded = st.file_uploader("Upload KPI CSV", type=["csv"])
if uploaded:
df = pd.read_csv(uploaded)
df["DATE_ID"] = pd.to_datetime(df["DATE_ID"])
# ========================
# FILTER SECTION
# ========================
st.subheader("Filter")
site_filter = st.multiselect(
"Site ID",
df["SITE_ID"].unique(),
default=df["SITE_ID"].unique()
)
band_filter = st.multiselect(
"Band",
df["BAND"].unique(),
default=df["BAND"].unique()
)
start_date = st.date_input("Start Date", df["DATE_ID"].min())
end_date = st.date_input("End Date", df["DATE_ID"].max())
# Apply filter
df_filtered = df[
(df["SITE_ID"].isin(site_filter)) &
(df["BAND"].isin(band_filter)) &
(df["DATE_ID"].between(pd.to_datetime(start_date), pd.to_datetime(end_date)))
]
# ========================
# KPI CHART PER SECTOR
# ========================
sectors = df_filtered["SECTOR"].unique()
st.subheader("Availability")
cols = st.columns(len(sectors))
for i, sector in enumerate(sectors):
sector_data = df_filtered[df_filtered["SECTOR"] == sector]
fig = px.line(
sector_data,
x="DATE_ID",
y="Availability",
title=f"Availability - {sector}"
)
cols[i].plotly_chart(fig, use_container_width=True)
# ========================
# SESSION ABNORMAL
# ========================
st.subheader("Session Abnormal Release")
cols2 = st.columns(len(sectors))
for i, sector in enumerate(sectors):
sector_data = df_filtered[df_filtered["SECTOR"] == sector]
fig = px.line(
sector_data,
x="DATE_ID",
y="Session_Abnormal",
title=f"Session Abnormal - {sector}"
)
cols2[i].plotly_chart(fig, use_container_width=True) |