now it's ready to deploy

muabdalaleam · Aug 24, 2023 · 3116537 · 3116537
1 parent 557c514
commit 3116537
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Showing 17 changed files with 24 additions and 19 deletions.
diff --git a/data-analysis/Youtube gaming dashboard.pbix b/data-analysis/Youtube gaming dashboard.pbix
diff --git a/data-analysis/__pycache__/functions.cpython-310.pyc b/data-analysis/__pycache__/functions.cpython-310.pyc
diff --git a/data-analysis/pages/.ipynb_checkpoints/channels_dashboard-checkpoint.py b/data-analysis/pages/.ipynb_checkpoints/channels_dashboard-checkpoint.py
@@ -17,7 +17,7 @@
 
 
 # -------------Reading data and setting constants----------------
-stacked_channels = pd.read_pickle("../Cleaned files/stacked_channels.pickle")
+stacked_channels = pd.read_pickle("../cleaned-files/stacked_channels.pickle")
 
 subs_vs_channel_name_len = pio.read_json("plots/json/subs_vs_channel_name_len_line_chart.json")
 video_stats_per_tag = pio.read_json("plots/json/video_stats_per_tag.json")

diff --git a/data-analysis/pages/.ipynb_checkpoints/games_dashboard-checkpoint.py b/data-analysis/pages/.ipynb_checkpoints/games_dashboard-checkpoint.py
@@ -22,8 +22,8 @@
 
 # -------------Reading data and setting constants----------------
 
-base_games = pd.read_pickle("../Cleaned files/base_games.pickle")
-stacked_games = pd.read_pickle("../Cleaned files/stacked_games_df.pickle")
+base_games = pd.read_pickle("../cleaned-files/base_games.pickle")
+stacked_games = pd.read_pickle("../cleaned-files/stacked_games_df.pickle")
 
 
 video_stats_per_game = pio.read_json('plots/json/video_stats_per_game.json')

diff --git a/data-analysis/pages/__pycache__/channels_dashboard.cpython-310.pyc b/data-analysis/pages/__pycache__/channels_dashboard.cpython-310.pyc
diff --git a/data-analysis/pages/__pycache__/games_dashboard.cpython-310.pyc b/data-analysis/pages/__pycache__/games_dashboard.cpython-310.pyc
diff --git a/data-analysis/pages/__pycache__/videos_dashboard.cpython-310.pyc b/data-analysis/pages/__pycache__/videos_dashboard.cpython-310.pyc
diff --git a/data-analysis/pages/channels_dashboard.py b/data-analysis/pages/channels_dashboard.py
@@ -17,7 +17,7 @@
 
 
 # -------------Reading data and setting constants----------------
-stacked_channels = pd.read_pickle("../Cleaned files/stacked_channels.pickle")
+stacked_channels = pd.read_pickle("../cleaned-files/stacked_channels.pickle")
 
 subs_vs_channel_name_len = pio.read_json("plots/json/subs_vs_channel_name_len_line_chart.json")
 video_stats_per_tag = pio.read_json("plots/json/video_stats_per_tag.json")

diff --git a/data-analysis/pages/games_dashboard.py b/data-analysis/pages/games_dashboard.py
@@ -22,8 +22,8 @@
 
 # -------------Reading data and setting constants----------------
 
-base_games = pd.read_pickle("../Cleaned files/base_games.pickle")
-stacked_games = pd.read_pickle("../Cleaned files/stacked_games_df.pickle")
+base_games = pd.read_pickle("../cleaned-files/base_games.pickle")
+stacked_games = pd.read_pickle("../cleaned-files/stacked_games_df.pickle")
 
 
 video_stats_per_game = pio.read_json('plots/json/video_stats_per_game.json')

diff --git a/machine-learning/.ipynb_checkpoints/app-checkpoint.py b/machine-learning/.ipynb_checkpoints/app-checkpoint.py
@@ -83,11 +83,11 @@
         preprocessors[processor_name] = dill.load(f)
 
 
-subs_vs_channel_name_len = pio.read_json("../Data analysis/plots/json/subs_vs_channel_name_len_line_chart.json")
-social_accounts_affect_on_vid_stats = pio.read_json("../Data analysis/plots/json/social_accounts_affect_on_vid_stats.json")
-video_stats_per_game = pio.read_json('../Data analysis/plots/json/video_stats_per_game.json')
-total_subs_vs_start_date = pio.read_json("../Data analysis/plots/json/total_subs_for_channels_per_start_date.json")
-duration_vs_views = pio.read_json("../Data analysis/plots/json/desc_len_vs_views_scatter_plot.json")
+subs_vs_channel_name_len = pio.read_json("../data-analysis/plots/json/subs_vs_channel_name_len_line_chart.json")
+social_accounts_affect_on_vid_stats = pio.read_json("../data-analysis/plots/json/social_accounts_affect_on_vid_stats.json")
+video_stats_per_game = pio.read_json('../data-analysis/plots/json/video_stats_per_game.json')
+total_subs_vs_start_date = pio.read_json("../data-analysis/plots/json/total_subs_for_channels_per_start_date.json")
+duration_vs_views = pio.read_json("../data-analysis/plots/json/desc_len_vs_views_scatter_plot.json")
 # ============================================================
 
 
@@ -723,8 +723,10 @@ def get_key(val, dict):
     col3.metric("AVG Views for one like", f"{np.mean(df['viewCount'] / df['likeCount']):.2f}")
     col4.metric("Views count for one subscriber", f"{np.mean(df['total_views'] / df['subscribers']):.2f}")
 
-    fig = px.bar(df.sort_values(by= "likeCount"), x= "likeCount", y= "title", title="Most liked videos.", width=1600, height= 1000,
+    fig = px.bar(df.sort_values(by= "likeCount"), x= "likeCount", y= "title", title="Most liked videos.", width=900, height= 600,
                  orientation='h', labels= {"likeCount": "Likes", "title": "Video name"})
+
+    fig.update_traces(marker=dict(color='red'))
 
     st.plotly_chart(fig)
 # ============================================================
diff --git a/machine-learning/app.py b/machine-learning/app.py
@@ -83,11 +83,11 @@
         preprocessors[processor_name] = dill.load(f)
 
 
-subs_vs_channel_name_len = pio.read_json("../Data analysis/plots/json/subs_vs_channel_name_len_line_chart.json")
-social_accounts_affect_on_vid_stats = pio.read_json("../Data analysis/plots/json/social_accounts_affect_on_vid_stats.json")
-video_stats_per_game = pio.read_json('../Data analysis/plots/json/video_stats_per_game.json')
-total_subs_vs_start_date = pio.read_json("../Data analysis/plots/json/total_subs_for_channels_per_start_date.json")
-duration_vs_views = pio.read_json("../Data analysis/plots/json/desc_len_vs_views_scatter_plot.json")
+subs_vs_channel_name_len = pio.read_json("../data-analysis/plots/json/subs_vs_channel_name_len_line_chart.json")
+social_accounts_affect_on_vid_stats = pio.read_json("../data-analysis/plots/json/social_accounts_affect_on_vid_stats.json")
+video_stats_per_game = pio.read_json('../data-analysis/plots/json/video_stats_per_game.json')
+total_subs_vs_start_date = pio.read_json("../data-analysis/plots/json/total_subs_for_channels_per_start_date.json")
+duration_vs_views = pio.read_json("../data-analysis/plots/json/desc_len_vs_views_scatter_plot.json")
 # ============================================================
 
 
@@ -723,8 +723,10 @@ def get_key(val, dict):
     col3.metric("AVG Views for one like", f"{np.mean(df['viewCount'] / df['likeCount']):.2f}")
     col4.metric("Views count for one subscriber", f"{np.mean(df['total_views'] / df['subscribers']):.2f}")
 
-    fig = px.bar(df.sort_values(by= "likeCount"), x= "likeCount", y= "title", title="Most liked videos.", width=1600, height= 1000,
+    fig = px.bar(df.sort_values(by= "likeCount"), x= "likeCount", y= "title", title="Most liked videos.", width=900, height= 600,
                  orientation='h', labels= {"likeCount": "Likes", "title": "Video name"})
+
+    fig.update_traces(marker=dict(color='red'))
 
     st.plotly_chart(fig)
 # ============================================================
diff --git a/machine-learning/temp/channel_name b/machine-learning/temp/channel_name
diff --git a/machine-learning/temp/duration_in_minutes b/machine-learning/temp/duration_in_minutes
@@ -1 +1,2 @@
-�K9.
+�K
+.
diff --git a/machine-learning/temp/duration_in_seconds b/machine-learning/temp/duration_in_seconds
diff --git a/machine-learning/temp/video_description b/machine-learning/temp/video_description
diff --git a/machine-learning/temp/video_tags b/machine-learning/temp/video_tags
diff --git a/machine-learning/temp/video_title b/machine-learning/temp/video_title