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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'} | |
) | |
]) | |
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 | |
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(host='0.0.0.0', debug=False) |