File size: 1,946 Bytes
20e7f31 4bf8ade 20e7f31 4bf8ade | 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 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 | import streamlit as st
import pandas as pd
import requests
import plotly.express as px
st.set_page_config(
page_title="Female Financial Inclusion",
layout="wide"
)
URL = "https://data360api.worldbank.org/data360/data?DATABASE_ID=WB_WDI&INDICATOR=WB_WDI_FX_OWN_TOTL_FE_ZS&skip=0"
@st.cache_data(ttl=86400)
def load_data():
response = requests.get(URL)
data = response.json()
df = pd.DataFrame(data["value"])
df["OBS_VALUE"] = pd.to_numeric(
df["OBS_VALUE"],
errors="coerce"
)
df["TIME_PERIOD"] = pd.to_numeric(
df["TIME_PERIOD"],
errors="coerce"
)
return df
df = load_data()
st.title("🌍 Female Financial Account Ownership Dashboard")
st.caption(
"Source: World Bank Data360 API | Auto Updated"
)
# Sidebar
country_list = sorted(df["REF_AREA"].dropna().unique())
selected_country = st.sidebar.selectbox(
"Country Code",
country_list
)
country_df = df[
df["REF_AREA"] == selected_country
]
# KPI
latest_year = country_df["TIME_PERIOD"].max()
latest_value = country_df[
country_df["TIME_PERIOD"] == latest_year
]["OBS_VALUE"].iloc[0]
col1, col2 = st.columns(2)
with col1:
st.metric(
"Country",
selected_country
)
with col2:
st.metric(
f"Latest Value ({latest_year})",
f"{latest_value:.2f}%"
)
# Trend Chart
fig = px.line(
country_df.sort_values("TIME_PERIOD"),
x="TIME_PERIOD",
y="OBS_VALUE",
markers=True,
title="Female Account Ownership Over Time"
)
st.plotly_chart(
fig,
use_container_width=True
)
# Latest Ranking
latest_df = df[
df["TIME_PERIOD"] == df["TIME_PERIOD"].max()
]
latest_df = latest_df.sort_values(
"OBS_VALUE",
ascending=False
)
fig_rank = px.bar(
latest_df.head(20),
x="REF_AREA",
y="OBS_VALUE",
title="Top 20 Countries"
)
st.plotly_chart(
fig_rank,
use_container_width=True
)
st.dataframe(df) |