Update app.py
Browse files
app.py
CHANGED
@@ -147,14 +147,13 @@ def create_channel_discrimination_chart(df):
|
|
147 |
def render_dashboard(page, df_filtered):
|
148 |
if page == "Overview":
|
149 |
st.title("Overview Dashboard")
|
150 |
-
|
151 |
-
col1, col2 = st.beta_columns(2)
|
152 |
with col1:
|
153 |
st.plotly_chart(create_pie_chart(df_filtered, 'Domain', 'Distribution of Domains'))
|
154 |
with col2:
|
155 |
st.plotly_chart(create_gender_ethnicity_distribution_chart(df_filtered))
|
156 |
|
157 |
-
col3, col4 = st.
|
158 |
with col3:
|
159 |
st.plotly_chart(create_sentiment_distribution_chart(df_filtered))
|
160 |
with col4:
|
@@ -162,21 +161,19 @@ def render_dashboard(page, df_filtered):
|
|
162 |
|
163 |
elif page == "Sentiment Analysis":
|
164 |
st.title("Sentiment Analysis Dashboard")
|
165 |
-
|
166 |
-
col1, col2 = st.beta_columns(2)
|
167 |
with col1:
|
168 |
st.plotly_chart(create_sentiment_distribution_chart(df_filtered))
|
169 |
with col2:
|
170 |
st.plotly_chart(create_top_negative_sentiment_domains_chart(df_filtered))
|
171 |
|
172 |
-
col3, col4 = st.
|
173 |
with col3:
|
174 |
st.plotly_chart(create_key_phrases_negative_sentiment_chart(df_filtered))
|
175 |
|
176 |
elif page == "Discrimination Analysis":
|
177 |
st.title("Discrimination Analysis Dashboard")
|
178 |
-
|
179 |
-
col1, col2 = st.beta_columns(2)
|
180 |
with col1:
|
181 |
st.plotly_chart(create_prevalence_discriminatory_content_chart(df_filtered))
|
182 |
with col2:
|
@@ -184,7 +181,6 @@ def render_dashboard(page, df_filtered):
|
|
184 |
|
185 |
elif page == "Channel Analysis":
|
186 |
st.title("Channel Analysis Dashboard")
|
187 |
-
# Create visualizations for the channel analysis page
|
188 |
col1, col2 = st.columns(2)
|
189 |
with col1:
|
190 |
st.plotly_chart(create_channel_sentiment_over_time_chart(df_filtered))
|
@@ -192,4 +188,4 @@ def render_dashboard(page, df_filtered):
|
|
192 |
st.plotly_chart(create_channel_discrimination_chart(df_filtered))
|
193 |
|
194 |
# Render the selected dashboard page
|
195 |
-
render_dashboard(page, df_filtered)
|
|
|
147 |
def render_dashboard(page, df_filtered):
|
148 |
if page == "Overview":
|
149 |
st.title("Overview Dashboard")
|
150 |
+
col1, col2 = st.columns(2)
|
|
|
151 |
with col1:
|
152 |
st.plotly_chart(create_pie_chart(df_filtered, 'Domain', 'Distribution of Domains'))
|
153 |
with col2:
|
154 |
st.plotly_chart(create_gender_ethnicity_distribution_chart(df_filtered))
|
155 |
|
156 |
+
col3, col4 = st.columns(2)
|
157 |
with col3:
|
158 |
st.plotly_chart(create_sentiment_distribution_chart(df_filtered))
|
159 |
with col4:
|
|
|
161 |
|
162 |
elif page == "Sentiment Analysis":
|
163 |
st.title("Sentiment Analysis Dashboard")
|
164 |
+
col1, col2 = st.columns(2)
|
|
|
165 |
with col1:
|
166 |
st.plotly_chart(create_sentiment_distribution_chart(df_filtered))
|
167 |
with col2:
|
168 |
st.plotly_chart(create_top_negative_sentiment_domains_chart(df_filtered))
|
169 |
|
170 |
+
col3, col4 = st.columns(2)
|
171 |
with col3:
|
172 |
st.plotly_chart(create_key_phrases_negative_sentiment_chart(df_filtered))
|
173 |
|
174 |
elif page == "Discrimination Analysis":
|
175 |
st.title("Discrimination Analysis Dashboard")
|
176 |
+
col1, col2 = st.columns(2)
|
|
|
177 |
with col1:
|
178 |
st.plotly_chart(create_prevalence_discriminatory_content_chart(df_filtered))
|
179 |
with col2:
|
|
|
181 |
|
182 |
elif page == "Channel Analysis":
|
183 |
st.title("Channel Analysis Dashboard")
|
|
|
184 |
col1, col2 = st.columns(2)
|
185 |
with col1:
|
186 |
st.plotly_chart(create_channel_sentiment_over_time_chart(df_filtered))
|
|
|
188 |
st.plotly_chart(create_channel_discrimination_chart(df_filtered))
|
189 |
|
190 |
# Render the selected dashboard page
|
191 |
+
render_dashboard(page, df_filtered)
|