|
|
| import streamlit as st |
| import pandas as pd |
|
|
| |
| data = { |
| "Country": ["Mexico", "Mexico", "Peru", "Peru", "Guatemala"], |
| "Year": [2020, 2021, 2020, 2021, 2021], |
| "Variable": ["Q1", "Q2", "Q3", "Q4", "Q5"], |
| "Question": [ |
| "How often do you visit a doctor?", |
| "Do you trust the healthcare system?", |
| "Have you received the COVID-19 vaccine?", |
| "What is your primary source of news?", |
| "Do you think education is affordable?" |
| ], |
| "Responses": [ |
| "Never, Rarely, Sometimes, Often", |
| "Yes, No", |
| "Yes, No", |
| "TV, Internet, Radio", |
| "Yes, No" |
| ] |
| } |
|
|
| df = pd.DataFrame(data) |
|
|
| |
| st.title("π CGD Survey Explorer (PoC)") |
|
|
| st.sidebar.header("π Filter Questions") |
| selected_country = st.sidebar.selectbox("Select Country", sorted(df["Country"].unique())) |
| selected_year = st.sidebar.selectbox("Select Year", sorted(df["Year"].unique())) |
| keyword = st.sidebar.text_input("Keyword Search", "") |
|
|
| filtered = df[ |
| (df["Country"] == selected_country) & |
| (df["Year"] == selected_year) & |
| (df["Question"].str.contains(keyword, case=False, na=False)) |
| ] |
|
|
| st.markdown(f"### Results for **{selected_country}** in **{selected_year}**") |
| st.dataframe(filtered[["Variable", "Question", "Responses"]]) |
|
|
| if filtered.empty: |
| st.info("No matching questions found.") |
|
|