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# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import streamlit as st
from streamlit.logger import get_logger
import pandas as pd
from utils import plotly_line_chart
import plotly.graph_objects as go
LOGGER = get_logger(__name__)
def run():
st.set_page_config(
page_title="Restaurant review analysis",
page_icon="👋",
)
st.write("# Restaurant review analysis")
start_year = st.sidebar.slider('Year', 2016, 2023, 2017)
smooth = st.sidebar.selectbox('Rolling window', [7, 14, 30, 60, 90], index=2)
reviews = pd.read_pickle('reviews.bin')
trend = pd.DataFrame(
{'sentiment': (reviews.groupby('period')['s'].sum().rolling(smooth).sum()/reviews.groupby('period')['s'].count().rolling(30).sum()),
'emotion': (reviews.groupby('period')['s'].count().rolling(smooth).sum()/reviews.groupby('period')['starRating'].count().rolling(30).sum()),
'rating': reviews.groupby('period')['rating'].mean().rolling(smooth).mean()}
)[str(start_year):]
trend.index = pd.to_datetime(trend.index.astype(str))
with st.expander('Customer sentiment and emotions', expanded=True):
st.write('''emotion defined as percentage of response with review comment''')
plotly_line_chart(trend, columns=['sentiment', 'emotion'],
styles={'emotion': dict(dash='dot', color=('rgb(128, 128, 128)'))}
)
with st.expander('score rating', expanded=False):
plotly_line_chart(trend, columns=['rating'],
#styles={'sentiment': dict(dash='dot', color=('rgb(128, 128, 128)'))},
yaxis={'sentiment': 'y2'}
)
st.write(trend)
absa = pd.read_pickle('stats.bin')
cols = st.sidebar.multiselect('customer view point', options=['food', 'service', 'atmosphere', 'staff', 'dish', 'price', 'restaurant', 'owner', 'cuisine', 'rice', 'drinks'], default=['food', 'service', 'price'])
positivity = absa.groupby('Period').sum().rolling(smooth).sum()/absa.groupby('Period').count().rolling(smooth).sum()
positivity = positivity[str(start_year):]
new_cols = [c for c in cols if c in positivity]
positivity.index = pd.to_datetime(positivity.index.astype(str))
plotly_line_chart(positivity, columns=new_cols,)
top_words = st.slider('top X customer concerns', 5, 50, 30)
top_mentions = absa.count().sort_values(ascending=False).head(top_words)
with st.expander('Customer top mentions', expanded=True):
fig = go.Figure()
fig.add_trace(
go.Bar(x=top_mentions.index, y=top_mentions.values)
)
st.plotly_chart(fig)
#st.write(top_mentions)
if __name__ == "__main__":
run()
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