final updates

phase3 Dashboard/model/__init__.py

@@ -316,6 +316,7 @@ def get_publisher_translator(mysql: MySQLConnection) -> pd.DataFrame:
                           GROUP BY p.id, t.name) AS translator_counts ON p.id = translator_counts.publisher_id\
                 AND tp.name = translator_counts.translator_name\
              GROUP BY p.name\
+             HAVING MAX(translation_count) > 100\
              ORDER BY book_count desc"
     return pandas_sql(mysql, query)
 
@@ -336,5 +337,5 @@ def get_publisher_genres(mysql: MySQLConnection) -> pd.DataFrame:
                      GROUP BY t.id, p.id\
                     ) AS max_counts ON t.id = max_counts.tag_id AND p.id = max_counts.publisher_id\
                 GROUP BY t.name\
-                limit 20;"
+                HAVING MAX(book_count) >= 500"
     return pandas_sql(mysql, query)

phase3 Dashboard/pages/4📊_Further_analysis.py

@@ -42,14 +42,21 @@ def prepare_data(_mysqldb: MySQLConnection):
               labels={'book_count': 'Book Count', 'publisher_name': 'Publisher Name'},
               title="Publisher Translator Book Count")
 st.plotly_chart(fig1, use_container_width=True)
+st.markdown(
+    "As you can see, this plot shows the most translations by the publications which demonstrates "
+    "that how much did the publications preferred to translate good books except of creating them.", unsafe_allow_html=True)
 
 fig2 = px.bar(publisher_genres, x='genre_name', y='max_book_count',
               hover_data=['best_publisher_name'], color='max_book_count',
               labels={'max_book_count': 'Max Book Count', 'genre_name': 'Genre Name'},
               title="Publisher Genres Max Book Count")
 st.plotly_chart(fig2)
-
-st.markdown("<h6 style='text-align: left;'><strong>Publisher's Same Books Correlation</strong></h6>", unsafe_allow_html=True)
+st.markdown(
+    "As you can see, this plot shows the most common genres which are printed by the publications which absolutely "
+    "shows the demand of the buyers.",
+    unsafe_allow_html=True)
+st.markdown("<h6 style='text-align: left;'><strong>Publisher's Same Books Correlation</strong></h6>",
+            unsafe_allow_html=True)
 df = get_number_of_books_published_by_pubs(mysqldb)
 
 net = Network()
@@ -63,3 +70,6 @@ def prepare_data(_mysqldb: MySQLConnection):
 with open("network.html", "r") as f:
     network_html = f.read()
 st.components.v1.html(network_html, width=800, height=600)
+st.markdown(
+    "As you can see, this graph shows the correlations between different publications. The correlation depends on the thickness of the edges between the nodes; the thicker the edge, the stronger the correlation. For instance, the \"Neyestan\" publication has a strong correlation with the \"Bonyad NahjolBalagheh\" publication, as they are both considered Persian Islamic religious publications.",
+    unsafe_allow_html=True)