Qiwei97 commited on
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e7c7bc7
1 Parent(s): 5e45662

Upload app.py

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Files changed (1) hide show
  1. app.py +6 -14
app.py CHANGED
@@ -24,8 +24,7 @@ st.set_page_config(layout="wide")
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  with st.sidebar:
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  st.header('Welcome to the Airbnb Investment Tool!')
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  nav = st.selectbox('Navigation', ['Heuristic Pricing',
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- 'Investment Analysis',
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- 'Customer View'])
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  #-----------------------------------------
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  # Additional Functions
@@ -137,7 +136,7 @@ def investment_tool(house_price, loan_amount, loan_period, percentage_loan_inter
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  #-----------------------------------------
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  # Load Airbnb listings data
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- df_raw = pd.read_csv("data/listings_sf_withamenities.csv")
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  df = df_raw.copy()
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  gdf = geopandas.GeoDataFrame(
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  df,
@@ -192,8 +191,9 @@ if nav == 'Heuristic Pricing':
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  else:
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  col3, col4 = st.columns(2)
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  with col3:
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- df_nearby_stats = gdf_nearby_listings[["price"]].describe()
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- st.table(df_nearby_stats)
 
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  with col4:
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  # Plot Stats
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  fig = plt.figure(figsize=(10, 4))
@@ -254,12 +254,4 @@ if nav == 'Investment Analysis':
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  plt.ylabel('Amount')
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  plt.title('Loan Balance')
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  plt.legend(('Loan Balance Remaining','Cumulative Principal Paid', 'Cumulative Interest Paid'))
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- st.pyplot(fig)
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-
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- if nav == "Customer View":
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- st.markdown("<h3 style='text-align: center; color:grey;'>Airbnb &#127968;</h3>", unsafe_allow_html=True)
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- st.text('')
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- p_title('Customer View')
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-
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- customer_tableau_embed_code = "<div class='tableauPlaceholder' id='viz1650723513927' style='position: relative'><noscript><a href='#'><img alt=' ' src='https:&#47;&#47;public.tableau.com&#47;static&#47;images&#47;Da&#47;Dashboard_1_16505589498970&#47;EDA&#47;1_rss.png' style='border: none' /></a></noscript><object class='tableauViz' style='display:none;'><param name='host_url' value='https%3A%2F%2Fpublic.tableau.com%2F' /> <param name='embed_code_version' value='3' /> <param name='site_root' value='' /><param name='name' value='Dashboard_1_16505589498970&#47;EDA' /><param name='tabs' value='yes' /><param name='toolbar' value='yes' /><param name='static_image' value='https:&#47;&#47;public.tableau.com&#47;static&#47;images&#47;Da&#47;Dashboard_1_16505589498970&#47;EDA&#47;1.png' /> <param name='animate_transition' value='yes' /><param name='display_static_image' value='yes' /><param name='display_spinner' value='yes' /><param name='display_overlay' value='yes' /><param name='display_count' value='yes' /><param name='language' value='en-US' /></object></div> <script type='text/javascript'> var divElement = document.getElementById('viz1650723513927'); var vizElement = divElement.getElementsByTagName('object')[0]; if ( divElement.offsetWidth > 800 ) { vizElement.style.width='1600px';vizElement.style.height='1150px';} else if ( divElement.offsetWidth > 500 ) { vizElement.style.width='1600px';vizElement.style.height='1150px';} else { vizElement.style.width='100%';vizElement.style.height='2850px';} var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement); </script>"
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- st.components.v1.html(customer_tableau_embed_code, height=2000, scrolling=True)
 
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  with st.sidebar:
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  st.header('Welcome to the Airbnb Investment Tool!')
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  nav = st.selectbox('Navigation', ['Heuristic Pricing',
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+ 'Investment Analysis'])
 
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  #-----------------------------------------
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  # Additional Functions
 
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  #-----------------------------------------
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  # Load Airbnb listings data
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+ df_raw = pd.read_csv("/content/drive/MyDrive/NUS Business/DBA4811/Final Project/data/listings_sf_withamenities.csv")
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  df = df_raw.copy()
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  gdf = geopandas.GeoDataFrame(
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  df,
 
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  else:
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  col3, col4 = st.columns(2)
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  with col3:
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+ df_nearby_stats = gdf_nearby_listings[["price"]].describe().round(2)
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+ df_nearby_stats.columns = pd.Index(["value"])
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+ st.dataframe(df_nearby_stats.style.format("{:.2f}"))
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  with col4:
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  # Plot Stats
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  fig = plt.figure(figsize=(10, 4))
 
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  plt.ylabel('Amount')
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  plt.title('Loan Balance')
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  plt.legend(('Loan Balance Remaining','Cumulative Principal Paid', 'Cumulative Interest Paid'))
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+ st.pyplot(fig)