Create app.py

app.py

@@ -0,0 +1,91 @@
+import dash
+from dash import dcc, html, Input, Output,dash_table
+import pandas as pd
+import plotly.express as px
+
+
+toxicTweetsDataFrame = pd.read_csv('ProcessedTweets.csv')
+
+dashAppValue = dash.Dash(__name__)
+
+dashAppValue.layout = html.Div([
+    html.H1("Social Media Dashboard", style={'textAlign': 'center'}),
+    
+    html.Div([
+        html.Div([
+            html.Label('Choose the respective month'),
+            dcc.Dropdown(
+                id='dropdown-month-value',
+                options=[{'modifedLabel': month, 'respectiveValue': month} for month in toxicTweetsDataFrame['Month'].unique()],
+                value=toxicTweetsDataFrame['Month'].unique()[0],
+                clearable=False,
+                style={'width': '100%'}
+            )
+        ], style={'width': '30%', 'display': 'inline-block', 'margin': 'auto'}),
+        
+        html.Div([
+            html.Label('Range Slider Value'),
+            dcc.RangeSlider(
+                id='sentimentAppValue',
+                min=toxicTweetsDataFrame['Sentiment'].min(),
+                max=toxicTweetsDataFrame['Sentiment'].max(),
+                value=[toxicTweetsDataFrame['Sentiment'].min(), toxicTweetsDataFrame['Sentiment'].max()]
+            )
+        ], style={'width': '30%', 'display': 'inline-block', 'margin': 'auto'}),
+        html.Div([
+            html.Label('Subjectivity Range'),
+            dcc.RangeSlider(
+                id='sliderRelativity',
+                min=toxicTweetsDataFrame['Subjectivity'].min(),
+                max=toxicTweetsDataFrame['Subjectivity'].max(),
+                value=[toxicTweetsDataFrame['Subjectivity'].min(), toxicTweetsDataFrame['Subjectivity'].max()]
+            )
+        ], style={'width': '30%', 'display': 'inline-block', 'margin': 'auto'})
+    ], style={'textAlign': 'center', 'margin-bottom': '20px'}),
+    
+    dcc.Graph(id='modified-scatterplot'),
+    dash_table.DataTable(
+        id='modified-tweet-Value',
+        data=[],
+        columns=[{'modifiedName':'RawTweet','modifiedId': 'RawTweet'}],
+        page_size=10,
+        style_table={'overflowX': 'auto', 'width': '100%', 'margin': 'auto'},
+        style_cell={'textAlign': 'center', 'minWidth': '100px', 'width': '100px', 'maxWidth': '200px'}
+    )
+])
+
+@dashAppValue.callback(
+    Output('modified-scatterplot', 'figure'),
+    [Input('dropdown-month-value', 'value'),
+     Input('sentimentAppValue', 'value'),
+     Input('sliderRelativity', 'value')]
+)
+def modifiedScatterplotValue(chosenMonthValue, rangeValueSlider, rangeRelativitySlider):
+    modifiedDataFrame = toxicTweetsDataFrame[(toxicTweetsDataFrame['Month'] == chosenMonthValue) &
+                     (toxicTweetsDataFrame['Sentiment'] >= rangeValueSlider[0]) & (toxicTweetsDataFrame['Sentiment'] <= rangeValueSlider[1]) &
+                     (toxicTweetsDataFrame['Subjectivity'] >= rangeRelativitySlider[0]) & (toxicTweetsDataFrame['Subjectivity'] <= rangeRelativitySlider[1])]
+    generatedFigureValue = px.scatter(modifiedDataFrame, x='Dimension 1', y='Dimension 2', hover_data=['RawTweet'])
+    generatedFigureValue.update_layout(title=None, xaxis_title=None, yaxis_title=None, modebar={'orientation': 'v'})
+    return generatedFigureValue
+
+@dashAppValue.callback(
+    Output('modifiedTweetValue', 'data'),
+    [Input('modified-scatterplot', 'selectedData')]
+)
+def showRespectiveTweets(chosenDataPoint):
+    if chosenDataPoint and 'updatedEntries' in chosenDataPoint:
+        chosenMessages = []
+        for respectivePoint in chosenDataPoint['updatedEntries']:
+            chosenTextPoint = chosenDataPoint['dataValue'][0]
+            chosenMessages.append(chosenTextPoint)
+        accurateDataValues = pd.DataFrame(chosenMessages ,columns = ['RawTweet'])
+
+        print(accurateDataValues)
+        toxicTweetsDataFrame = accurateDataValues.to_dict(orient ='records')
+        return toxicTweetsDataFrame
+    else:
+        return []
+
+
+if __name__ == '__main__':
+    dashAppValue.run_server(debug=True)