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Runtime error
stefania11 commited on
Commit Β·
dd9c7ae
1
Parent(s): 1ed8d0b
update app file
Browse files- app.py +64 -1
- emp_experience_data.csv +299 -0
- requirements.txt +3 -0
app.py
CHANGED
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@@ -4,6 +4,15 @@ from datetime import datetime
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from PIL import Image
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import flag
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import os
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stable_diffusion = gr.Blocks.load(name="spaces/stabilityai/stable-diffusion")
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### ββββββββββββββββββββββββββββββββββββββββ
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@@ -340,9 +349,63 @@ with gr.Blocks(css=css) as demo:
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)
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# clear_btn.click(fn=lambda value: gr.update(value=""), inputs=clear_btn, outputs=translated_output)
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gr.Markdown("""
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-
##
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Inference time is about ~20-30 seconds, when it's your turn π¬
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"""
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)
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from PIL import Image
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import flag
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import os
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import pandas as pd
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import matplotlib.pyplot as plt
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import numpy as np
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from sklearn.preprocessing import LabelEncoder
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import seaborn as sns
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plt.switch_backend('Agg')
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pd.options.display.max_columns = 25
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pd.options.display.max_rows = 300
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stable_diffusion = gr.Blocks.load(name="spaces/stabilityai/stable-diffusion")
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### ββββββββββββββββββββββββββββββββββββββββ
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)
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# clear_btn.click(fn=lambda value: gr.update(value=""), inputs=clear_btn, outputs=translated_output)
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def outbreak(plot_type):
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df = pd.read_csv('emp_experience_data.csv')
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data_encoded = df.copy(deep=True)
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categorical_column = ['Attrition', 'Gender', 'BusinessTravel', 'Education', 'EmployeeExperience', 'EmployeeFeedbackSentiments', 'Designation',
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'SalarySatisfaction', 'HealthBenefitsSatisfaction', 'UHGDiscountProgramUsage', 'HealthConscious', 'CareerPathSatisfaction', 'Region']
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label_encoding = LabelEncoder()
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for col in categorical_column:
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data_encoded[col] = label_encoding.fit_transform(data_encoded[col])
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if plot_type == "Find Data Correlation":
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fig = plt.figure()
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data_correlation = data_encoded.corr()
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sns.heatmap(data_correlation, xticklabels = data_correlation.columns, yticklabels = data_correlation.columns)
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return fig
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if plot_type == "Filter Correlation Data":
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fig = plt.figure()
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filtered_df = df[['EmployeeExperience', 'EmployeeFeedbackSentiments', 'Age', 'SalarySatisfaction', 'BusinessTravel', 'HealthBenefitsSatisfaction']]
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correlation_filter_data = filtered_df.corr()
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sns.heatmap(correlation_filter_data, xticklabels = filtered_df.columns, yticklabels = filtered_df.columns)
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return fig
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if plot_type == "Age vs Attrition":
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fig = plt.figure()
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plt.hist(data_encoded['Age'], bins=np.arange(0,80,10), alpha=0.8, rwidth=0.9, color='red')
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plt.xlabel("Age")
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plt.ylabel("Count")
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plt.title("Age vs Attrition")
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return fig
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if plot_type == "Business Travel vs Attrition":
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fig = plt.figure()
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ax = sns.countplot(x="BusinessTravel", hue="Attrition", data=data_encoded)
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for p in ax.patches:
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ax.annotate('{}'.format(p.get_height()), (p.get_x(), p.get_height()+1))
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return fig
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if plot_type == "Employee Experience vs Attrition":
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fig = plt.figure()
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ax = sns.countplot(x="EmployeeExperience", hue="Attrition", data=data_encoded)
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for p in ax.patches:
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ax.annotate('{}'.format(p.get_height()), (p.get_x(), p.get_height()+1))
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return fig
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inputs = [
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gr.Dropdown(["Find Data Correlation", "Filter Correlation Data", "Business Travel vs Attrition", "Employee Experience vs Attrition", "Age vs Attrition",], label="Data Correlation and Visualization")
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]
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outputs = gr.Plot()
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demo = gr.Interface(
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fn = outbreak,
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inputs = inputs,
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outputs = outputs,
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title="Employee-Experience: Data Correlation and Pattern Visualization",
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allow_flagging=False
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)
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gr.Markdown("""
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## 5. Wait for Stable Diffusion Results βοΈ
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Inference time is about ~20-30 seconds, when it's your turn π¬
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"""
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)
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emp_experience_data.csv
ADDED
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@@ -0,0 +1,299 @@
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| 1 |
+
Attrition,Age,Gender,BusinessTravel,Education,EmployeeExperience,EmployeeFeedbackSentiments,Designation,SalaryGrade,SalarySatisfaction,PerformanceRating,YearsSinceLastPromotion,InternalJobMovement,ManagerChangeFrequencyInThreeYears,NumOfCompaniesWorked,DistanceFromHome,HealthBenefitsSatisfaction,UHGDiscountProgramUsage,HealthConscious,HoursOfTrainingAttendedLastYear,CareerPathSatisfaction,Region
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| 2 |
+
Yes,41,Female,Travel_Rarely,College,Neutral,Negative,Admin,27,Positive,4,3,3,1,4,1,Negative,Yes,Yes,10,Negative,India
|
| 3 |
+
No,49,Male,Travel_Frequently,College,Positive,Positive,Engineer,28,Positive,3,2,1,1,1,8,Positive,No,No,8,Positive,India
|
| 4 |
+
Yes,37,Male,Travel_Rarely,Highschool,Negative,Negative,Admin,27,Negative,4,3,0,2,2,2,Negative,No,No,20,Negative,US
|
| 5 |
+
No,33,Female,Travel_Frequently,College,Neutral,Positive,Engineer,30,Positive,4,0,0,3,1,3,Neutral,No,Yes,10,Positive,India
|
| 6 |
+
No,27,Male,Travel_Rarely,Masters,Positive,Negative,EngineerTLCP,27,Positive,2,2,1,4,2,2,Positive,Yes,No,20,Neutral,US
|
| 7 |
+
No,32,Male,Travel_Frequently,College,Positive,Positive,Admin,28,Positive,4,4,0,2,1,2,Positive,No,No,7,Negative,India
|
| 8 |
+
No,59,Female,Travel_Rarely,Masters,Neutral,Positive,Manager,27,Negative,5,1,0,3,1,3,Negative,No,Yes,20,Negative,US
|
| 9 |
+
No,30,Male,Travel_Rarely,Masters,Neutral,Positive,Director,30,Positive,5,3,0,1,2,24,Positive,Yes,Yes,20,Positive,India
|
| 10 |
+
No,38,Male,Travel_Frequently,Doctorate,Positive,Positive,Director,28,Negative,3,3,1,3,1,23,Positive,Yes,No,8,Negative,India
|
| 11 |
+
No,36,Male,Travel_Rarely,Highschool,Positive,Positive,Admin,27,Positive,3,2,2,2,1,27,Neutral,No,No,6,Positive,India
|
| 12 |
+
No,35,Male,Travel_Rarely,College,Negative,Negative,Engineer,27,Negative,4,4,0,1,1,16,Negative,No,Yes,10,Positive,US
|
| 13 |
+
No,29,Female,Travel_Rarely,Masters,Neutral,Negative,EngineerTLCP,27,Positive,5,3,1,1,2,15,Negative,Yes,No,25,Positive,India
|
| 14 |
+
No,31,Male,Travel_Rarely,Doctorate,Neutral,Positive,EngineerTLCP,28,Positive,3,2,3,4,1,26,Positive,Yes,No,30,Positive,US
|
| 15 |
+
No,34,Male,Travel_Rarely,Highschool,Neutral,Positive,Analyst,28,Neutral,3,1,2,3,1,19,Positive,No,Yes,10,Negative,India
|
| 16 |
+
Yes,28,Male,Travel_Rarely,College,Negative,Positive,Engineer,29,Positive,5,4,2,1,3,24,Negative,No,Yes,0,Negative,India
|
| 17 |
+
No,29,Female,Travel_Rarely,College,Positive,Negative,Engineer,27,Positive,3,4,1,2,3,21,Negative,Yes,No,0,Neutral,US
|
| 18 |
+
No,32,Male,Travel_Rarely,Masters,Neutral,Negative,Director,27,Neutral,3,1,0,2,1,5,Positive,No,Yes,6,Negative,India
|
| 19 |
+
No,22,Male,Non-Travel,Doctorate,Positive,Positive,EngineerTLCP,27,Positive,4,2,3,3,1,16,Positive,Yes,No,5,Neutral,India
|
| 20 |
+
No,53,Female,Travel_Rarely,College,Positive,Negative,Admin,27,Positive,3,4,0,4,2,2,Positive,No,Yes,9,Positive,US
|
| 21 |
+
No,38,Male,Travel_Rarely,Highschool,Positive,Positive,Admin,27,Positive,3,1,1,2,1,2,Positive,No,Yes,4,Negative,India
|
| 22 |
+
No,24,Female,Non-Travel,College,Negative,Negative,Analyst,27,Negative,3,1,1,3,2,11,Negative,Yes,No,0,Negative,India
|
| 23 |
+
Yes,36,Male,Travel_Rarely,Masters,Negative,Negative,Director,28,Negative,3,2,2,1,3,9,Positive,No,No,0,Positive,India
|
| 24 |
+
No,34,Female,Travel_Rarely,Doctorate,Positive,Positive,Director,30,Neutral,4,2,2,4,2,7,Positive,No,Yes,3,Positive,India
|
| 25 |
+
No,21,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Neutral,4,4,2,2,1,15,Negative,Yes,Yes,0,Positive,US
|
| 26 |
+
Yes,34,Male,Travel_Rarely,College,Negative,Positive,Admin,27,Positive,3,5,2,2,1,6,Negative,No,No,10,Positive,US
|
| 27 |
+
No,53,Female,Travel_Rarely,Highschool,Positive,Positive,Admin,27,Positive,4,4,3,1,2,5,Positive,No,No,12,Neutral,India
|
| 28 |
+
Yes,32,Female,Travel_Frequently,College,Positive,Negative,Director,30,Negative,3,4,0,3,1,16,Positive,Yes,Yes,0,Negative,India
|
| 29 |
+
No,42,Male,Travel_Rarely,Masters,Positive,Negative,Manager,27,Positive,3,2,0,3,2,8,Neutral,No,Yes,10,Positive,US
|
| 30 |
+
No,44,Female,Travel_Rarely,Doctorate,Neutral,Negative,EngineerTLCP,28,Negative,4,2,1,1,2,7,Negative,No,No,12,Negative,India
|
| 31 |
+
No,46,Female,Travel_Rarely,College,Positive,Negative,Engineer,27,Positive,2,2,2,1,3,2,Positive,Yes,No,17,Negative,India
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| 32 |
+
No,33,Male,Travel_Rarely,College,Positive,Negative,Analyst,27,Positive,2,3,2,2,1,2,Neutral,Yes,Yes,15,Positive,India
|
| 33 |
+
No,44,Male,Travel_Rarely,College,Positive,Positive,Analyst,27,Positive,5,4,1,3,4,10,Positive,No,No,0,Positive,US
|
| 34 |
+
No,30,Male,Travel_Rarely,College,Positive,Positive,Manager,27,Positive,3,6,0,2,3,9,Positive,No,No,0,Positive,India
|
| 35 |
+
Yes,39,Male,Travel_Rarely,College,Positive,Negative,Manager,27,Negative,3,3,2,2,3,5,Negative,No,No,15,Negative,India
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| 36 |
+
Yes,24,Male,Travel_Rarely,Doctorate,Negative,Neutral,EngineerTLCP,29,Negative,4,7,0,3,4,1,Negative,Yes,Yes,10,Negative,US
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| 37 |
+
No,43,Female,Travel_Rarely,College,Negative,Negative,Engineer,27,Negative,3,2,1,1,3,2,Positive,Yes,No,7,Negative,India
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| 38 |
+
Yes,50,Male,Travel_Rarely,Masters,Negative,Negative,Manager,30,Negative,4,7,0,2,2,3,Negative,No,No,19,Neutral,US
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| 39 |
+
No,35,Female,Travel_Rarely,Doctorate,Neutral,Neutral,Manager,28,Neutral,3,2,1,1,3,2,Negative,No,Yes,0,Positive,India
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| 40 |
+
No,36,Female,Travel_Rarely,Highschool,Neutral,Positive,Analyst,27,Positive,5,3,0,2,2,5,Positive,Yes,Yes,20,Neutral,US
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| 41 |
+
No,33,Female,Travel_Frequently,College,Positive,Positive,Engineer,27,Positive,3,2,1,1,1,1,Positive,No,No,10,Neutral,India
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| 42 |
+
No,35,Male,Travel_Rarely,College,Neutral,Neutral,Engineer,27,Neutral,3,4,3,2,1,4,Positive,Yes,No,15,Positive,India
|
| 43 |
+
No,27,Female,Travel_Rarely,College,Negative,Positive,Engineer,28,Negative,3,3,1,3,2,2,Positive,Yes,No,0,Negative,India
|
| 44 |
+
Yes,26,Male,Travel_Rarely,Masters,Positive,Negative,Manager,28,Positive,2,4,1,1,2,25,Negative,Yes,Yes,27,Negative,US
|
| 45 |
+
No,27,Male,Travel_Frequently,Doctorate,Neutral,Negative,Manager,28,Positive,4,2,1,1,1,8,Negative,Yes,No,10,Positive,India
|
| 46 |
+
No,30,Female,Travel_Frequently,College,Neutral,Positive,Director,28,Neutral,3,2,2,2,1,1,Positive,Yes,Yes,18,Positive,US
|
| 47 |
+
Yes,41,Female,Travel_Rarely,College,Negative,Neutral,Director,28,Negative,3,2,0,3,1,12,Negative,No,No,10,Negative,US
|
| 48 |
+
No,34,Male,Non-Travel,College,Neutral,Positive,Manager,27,Neutral,4,2,1,2,4,23,Neutral,No,Yes,12,Positive,India
|
| 49 |
+
No,37,Male,Travel_Rarely,College,Positive,Neutral,Engineer,28,Positive,4,3,0,2,4,19,Positive,No,No,6,Neutral,US
|
| 50 |
+
No,46,Male,Travel_Frequently,College,Negative,Neutral,Manager,27,Negative,3,5,0,3,1,5,Negative,No,Yes,10,Negative,India
|
| 51 |
+
No,35,Male,Travel_Rarely,Masters,Positive,Negative,Manager,27,Positive,3,3,0,1,4,8,Positive,No,No,10,Positive,India
|
| 52 |
+
Yes,48,Male,Travel_Rarely,Masters,Negative,Positive,Manager,27,Negative,4,3,3,2,2,1,Negative,Yes,Yes,19,Negative,US
|
| 53 |
+
Yes,28,Male,Travel_Rarely,College,Positive,Negative,Engineer,28,Positive,3,2,1,1,3,5,Negative,Yes,No,18,Negative,US
|
| 54 |
+
No,44,Female,Travel_Rarely,College,Positive,Neutral,Engineer,28,Positive,3,3,1,1,2,1,Positive,No,Yes,18,Positive,India
|
| 55 |
+
No,35,Male,Non-Travel,College,Neutral,Positive,Manager,29,Positive,4,3,2,1,2,11,Positive,No,Yes,10,Positive,India
|
| 56 |
+
No,26,Female,Travel_Rarely,Masters,Negative,Negative,EngineerTLCP,29,Neutral,3,3,2,2,2,23,Negative,No,No,22,Positive,US
|
| 57 |
+
No,33,Female,Travel_Frequently,Doctorate,Neutral,Positive,Manager,29,Positive,3,4,0,3,5,1,Neutral,Yes,No,20,Positive,US
|
| 58 |
+
No,35,Male,Travel_Frequently,Masters,Neutral,Negative,Analyst,30,Positive,3,5,1,1,2,18,Positive,No,Yes,10,Negative,US
|
| 59 |
+
No,35,Female,Travel_Rarely,Doctorate,Positive,Positive,Manager,28,Positive,3,4,0,1,5,23,Negative,No,No,25,Positive,US
|
| 60 |
+
No,31,Male,Travel_Rarely,College,Neutral,Positive,Manager,28,Positive,2,5,2,2,3,7,Neutral,Yes,Yes,24,Neutral,US
|
| 61 |
+
No,37,Male,Travel_Rarely,College,Negative,Negative,Manager,28,Negative,4,3,0,3,6,1,Neutral,Yes,Yes,10,Positive,India
|
| 62 |
+
No,32,Male,Travel_Rarely,College,Positive,Positive,Manager,28,Neutral,4,3,1,3,2,1,Neutral,No,No,28,Neutral,India
|
| 63 |
+
No,38,Female,Travel_Frequently,College,Positive,Negative,Analyst,29,Positive,3,2,1,2,5,29,Positive,No,No,10,Positive,US
|
| 64 |
+
No,50,Female,Travel_Rarely,Highschool,Neutral,Positive,Admin,27,Positive,3,2,0,2,1,7,Neutral,No,Yes,12,Negative,US
|
| 65 |
+
No,59,Female,Travel_Rarely,Masters,Neutral,Positive,Engineer,28,Positive,3,2,2,1,4,25,Positive,Yes,No,10,Positive,India
|
| 66 |
+
No,36,Female,Travel_Rarely,Doctorate,Negative,Negative,Manager,29,Positive,3,2,0,2,4,8,Negative,No,Yes,11,Positive,India
|
| 67 |
+
No,55,Female,Travel_Rarely,College,Neutral,Positive,Analyst,27,Positive,2,4,2,1,1,8,Positive,Yes,Yes,15,Positive,India
|
| 68 |
+
No,36,Male,Travel_Frequently,College,Positive,Positive,Engineer,27,Negative,4,4,1,1,2,11,Positive,No,No,20,Neutral,India
|
| 69 |
+
No,45,Male,Travel_Rarely,College,Negative,Negative,Engineer,27,Negative,2,2,1,1,4,7,Neutral,Yes,Yes,18,Negative,US
|
| 70 |
+
No,35,Male,Travel_Frequently,College,Negative,Negative,Analyst,27,Negative,3,2,2,2,3,1,Negative,No,Yes,17,Negative,US
|
| 71 |
+
Yes,36,Male,Travel_Rarely,Highschool,Negative,Positive,Analyst,27,Negative,4,2,0,2,4,9,Neutral,Yes,No,16,Positive,India
|
| 72 |
+
No,59,Female,Travel_Frequently,Highschool,Neutral,Negative,Admin,28,Negative,4,2,0,1,1,1,Negative,No,No,20,Negative,India
|
| 73 |
+
No,29,Male,Travel_Rarely,Masters,Neutral,Neutral,Engineer,27,Neutral,5,3,1,2,3,2,Positive,Yes,Yes,25,Negative,India
|
| 74 |
+
No,31,Male,Travel_Rarely,Masters,Negative,Negative,Engineer,27,Positive,2,2,1,2,4,1,Neutral,No,No,14,Negative,India
|
| 75 |
+
No,32,Male,Travel_Rarely,College,Negative,Negative,Analyst,27,Negative,4,3,1,2,1,1,Negative,Yes,Yes,12,Positive,US
|
| 76 |
+
No,36,Female,Travel_Rarely,College,Negative,Neutral,Manager,28,Neutral,4,3,0,4,3,6,Negative,No,No,11,Negative,India
|
| 77 |
+
No,31,Female,Travel_Rarely,Highschool,Positive,Negative,Analyst,27,Positive,4,2,1,2,3,8,Positive,Yes,No,12,Negative,India
|
| 78 |
+
No,35,Male,Travel_Rarely,Doctorate,Neutral,Positive,Manager,29,Positive,3,1,1,3,4,1,Positive,No,Yes,30,Positive,US
|
| 79 |
+
No,45,Male,Travel_Rarely,College,Neutral,Positive,Analyst,27,Positive,4,2,0,1,4,6,Positive,No,No,16,Neutral,India
|
| 80 |
+
No,37,Male,Travel_Rarely,Masters,Neutral,Positive,Analyst,27,Neutral,3,2,0,2,1,7,Negative,Yes,Yes,40,Negative,India
|
| 81 |
+
No,46,Male,Travel_Rarely,Masters,Neutral,Neutral,EngineerTLCP,29,Negative,2,1,1,1,4,5,Negative,Yes,Yes,20,Neutral,US
|
| 82 |
+
No,30,Male,Travel_Rarely,Highschool,Neutral,Negative,Admin,29,Neutral,4,3,2,2,2,1,Negative,Yes,No,15,Negative,India
|
| 83 |
+
No,35,Male,Travel_Rarely,College,Positive,Positive,Analyst,27,Neutral,2,2,1,1,2,1,Negative,Yes,Yes,16,Negative,India
|
| 84 |
+
No,55,Male,Travel_Rarely,Highschool,Neutral,Positive,Analyst,30,Positive,3,6,0,1,2,1,Neutral,Yes,No,12,Positive,India
|
| 85 |
+
No,38,Female,Non-Travel,College,Neutral,Negative,Analyst,28,Positive,3,3,3,2,2,6,Neutral,Yes,Yes,13,Positive,US
|
| 86 |
+
No,34,Male,Travel_Rarely,College,Positive,Positive,Engineer,29,Positive,3,4,2,1,1,1,Positive,No,Yes,6,Positive,US
|
| 87 |
+
No,56,Male,Travel_Rarely,College,Neutral,Neutral,Analyst,27,Positive,5,3,1,2,2,7,Neutral,Yes,No,19,Neutral,India
|
| 88 |
+
No,23,Male,Travel_Rarely,Masters,Positive,Positive,Analyst,28,Negative,4,4,1,2,1,2,Positive,Yes,Yes,10,Negative,US
|
| 89 |
+
No,51,Male,Travel_Rarely,Masters,Positive,Negative,EngineerTLCP,28,Positive,3,2,0,3,2,9,Positive,Yes,No,15,Positive,India
|
| 90 |
+
No,30,Male,Travel_Rarely,Masters,Neutral,Positive,Engineer,28,Positive,3,2,2,1,2,2,Neutral,No,No,12,Positive,India
|
| 91 |
+
Yes,46,Male,Travel_Rarely,Masters,Negative,Negative,EngineerTLCP,29,Positive,5,5,0,2,3,9,Negative,Yes,No,0,Negative,US
|
| 92 |
+
No,40,Male,Travel_Frequently,Highschool,Neutral,Positive,Admin,27,Positive,4,4,0,3,2,1,Positive,Yes,Yes,8,Positive,US
|
| 93 |
+
No,51,Male,Travel_Rarely,College,Neutral,Positive,Analyst,29,Neutral,2,2,2,1,5,21,Positive,No,No,16,Positive,US
|
| 94 |
+
No,30,Female,Travel_Rarely,College,Neutral,Negative,Engineer,30,Positive,3,3,0,1,2,4,Neutral,Yes,No,10,Positive,India
|
| 95 |
+
No,46,Male,Travel_Frequently,Masters,Positive,Positive,Engineer,27,Positive,5,2,0,3,4,1,Neutral,Yes,Yes,11,Positive,India
|
| 96 |
+
No,32,Male,Travel_Rarely,College,Neutral,Positive,Engineer,27,Neutral,5,2,0,3,2,6,Positive,Yes,Yes,12,Negative,India
|
| 97 |
+
No,54,Female,Travel_Rarely,Masters,Neutral,Positive,Manager,28,Neutral,2,2,1,1,4,2,Positive,No,No,10,Positive,India
|
| 98 |
+
No,24,Female,Travel_Rarely,Doctorate,Positive,Positive,Director,30,Positive,3,2,1,4,1,3,Neutral,No,No,18,Neutral,India
|
| 99 |
+
No,28,Male,Non-Travel,College,Neutral,Positive,Analyst,27,Positive,4,3,1,3,3,4,Neutral,Yes,No,10,Positive,India
|
| 100 |
+
No,58,Male,Travel_Rarely,College,Positive,Positive,Manager,29,Neutral,4,1,0,1,2,10,Negative,Yes,Yes,8,Positive,US
|
| 101 |
+
No,44,Male,Non-Travel,College,Neutral,Negative,Engineer/TLCP,28,Positive,3,2,1,2,1,23,Neutral,No,Yes,0,Positive,US
|
| 102 |
+
Yes,37,Male,Travel_Rarely,Masters,Negative,Negative,Engineer/TLCP,26,Neutral,5,3,0,2,1,6,Negative,No,Yes,10,Positive,India
|
| 103 |
+
No,32,Male,Travel_Rarely,College,Neutral,Positive,Analyst,27,Positive,3,5,2,3,1,1,Neutral,Yes,No,0,Neutral,India
|
| 104 |
+
Yes,20,Female,Travel_Frequently,High School,Positive,Positive,Admin,25,Positive,3,0,0,1,1,6,Positive,No,Yes,0,Negative,Ireland
|
| 105 |
+
No,34,Female,Travel_Rarely,Masters,Neutral,Negative,Engineer,28,Positive,4,1,2,2,3,6,Positive,Yes,No,20,Positive,US
|
| 106 |
+
No,37,Male,Non-Travel,College,Positive,Positive,Analyst,28,Positive,4,1,0,2,2,2,Positive,No,No,6,Positive,Ireland
|
| 107 |
+
No,59,Female,Non-Travel,Doctorate,Positive,Positive,Director,31,Positive,5,2,6,7,4,2,Positive,Yes,Yes,30,Negative,US
|
| 108 |
+
No,50,Female,Travel_Frequently,Masters,Neutral,Positive,Manager,29,Positive,4,2,1,3,2,1,Neutral,Yes,Yes,26,Positive,India
|
| 109 |
+
Yes,25,Male,Travel_Rarely,College,Negative,Negative,Engineer,27,Positive,3,0,0,2,1,5,Negative,No,Yes,8,Positive,US
|
| 110 |
+
No,25,Male,Travel_Rarely,College,Neutral,Neutral,Engineer,27,Positive,3,1,1,2,1,7,Neutral,Yes,Yes,10,Positive,Ireland
|
| 111 |
+
No,22,Female,Travel_Rarely,College,Neutral,Negative,Engineer,27,Positive,3,1,0,1,2,15,Neutral,Yes,Yes,16,Positive,Ireland
|
| 112 |
+
No,51,Female,Travel_Frequently,College,Neutral,Neutral,Engineer/TLCP,28,Negative,3,2,1,2,1,1,Positive,No,Yes,14,Negative,Ireland
|
| 113 |
+
Yes,34,Male,Travel_Frequently,Masters,Negative,Negative,Engineer/TLCP,29,Positive,3,2,0,2,1,7,Positive,No,Yes,24,Positive,Ireland
|
| 114 |
+
No,54,Female,Non-Travel,College,Neutral,Positive,Engineer,28,Positive,2,2,2,3,1,26,Positive,Yes,Yes,40,Neutral,Ireland
|
| 115 |
+
No,24,Male,Travel_Rarely,College,Positive,Positive,Engineer,26,Neutral,2,0,0,1,1,18,Neutral,Yes,No,22,Positive,Ireland
|
| 116 |
+
No,34,Female,Travel_Rarely,Masters,Positive,Positive,Engineer/TLCP,29,Positive,4,2,2,2,3,6,Neutral,Yes,No,15,Neutral,US
|
| 117 |
+
No,37,Male,Travel_Rarely,College,Positive,Negative,Engineer,28,Positive,4,4,0,2,2,3,Negative,Yes,No,10,Neutral,India
|
| 118 |
+
No,34,Female,Travel_Rarely,College,Positive,Negative,Engineer,28,Neutral,4,2,2,3,1,5,Positive,No,No,12,Positive,US
|
| 119 |
+
No,36,Female,Travel_Frequently,College,Neutral,Positive,Engineer,28,Positive,4,3,0,1,1,11,Positive,No,No,4,Positive,India
|
| 120 |
+
No,36,Female,Travel_Rarely,Masters,Neutral,Positive,Manager,29,Positive,3,4,2,2,3,3,Negative,No,No,10,Positive,US
|
| 121 |
+
No,43,Male,Travel_Frequently,College,Neutral,Positive,Engineer,28,Positive,3,5,0,2,2,26,Neutral,Yes,No,8,Positive,US
|
| 122 |
+
No,30,Male,Travel_Frequently,Doctorate,Neutral,Neutral,Director,30,Neutral,3,1,6,7,4,23,Positive,Yes,Yes,32,Neutral,India
|
| 123 |
+
No,33,Male,Non-Travel,College,Neutral,Positive,Engineer,29,Positive,3,5,1,3,2,22,Positive,Yes,Yes,10,Negative,US
|
| 124 |
+
Yes,56,Female,Travel_Rarely,Masters,Positive,Positive,Manager,28,Neutral,4,4,0,2,1,14,Negative,Yes,Yes,8,Positive,India
|
| 125 |
+
No,51,Male,Travel_Rarely,College,Positive,Negative,Engineer,29,Neutral,4,4,2,3,1,6,Neutral,Yes,Yes,8,Positive,US
|
| 126 |
+
Yes,31,Male,Travel_Rarely,College,Negative,Negative,Engineer,28,Positive,5,1,0,1,1,6,Negative,Yes,Yes,8,Negative,India
|
| 127 |
+
No,26,Female,Travel_Rarely,College,Positive,Positive,Engineer,27,Neutral,4,2,2,2,3,6,Positive,No,No,24,Positive,US
|
| 128 |
+
Yes,58,Female,Travel_Rarely,College,Negative,Positive,Engineer,28,Negative,3,2,0,2,2,23,Negative,No,Yes,16,Positive,US
|
| 129 |
+
Yes,19,Male,Travel_Rarely,High School,Negative,Positive,Admin,26,Positive,3,0,2,3,1,22,Positive,No,No,0,Positive,India
|
| 130 |
+
No,22,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Neutral,2,1,0,1,1,2,Neutral,No,Yes,8,Positive,US
|
| 131 |
+
No,49,Female,Travel_Rarely,College,Positive,Negative,Engineer,28,Positive,3,3,2,2,3,20,Positive,No,No,24,Positive,India
|
| 132 |
+
No,43,Female,Travel_Frequently,College,Neutral,Positive,Engineer,28,Positive,3,4,0,2,1,28,Negative,No,Yes,16,Positive,US
|
| 133 |
+
No,50,Female,Travel_Frequently,College,Positive,Positive,Engineer/TLCP,29,Positive,3,4,2,3,1,12,Positive,No,No,32,Positive,India
|
| 134 |
+
Yes,31,Female,Travel_Rarely,College,Negative,Negative,Engineer,28,Negative,2,1,0,1,1,20,Negative,No,No,10,Neutral,US
|
| 135 |
+
No,41,Male,Travel_Rarely,Masters,Neutral,Positive,Engineer,29,Positive,3,2,2,2,3,9,Neutral,No,No,16,Negative,India
|
| 136 |
+
No,26,Female,Travel_Rarely,College,Neutral,Positive,Analyst,28,Negative,4,1,0,2,2,25,Neutral,Yes,Yes,24,Positive,US
|
| 137 |
+
No,36,Male,Travel_Rarely,College,Positive,Positive,Analyst,28,Negative,4,2,2,3,1,6,Positive,Yes,Yes,8,Positive,India
|
| 138 |
+
Yes,51,Male,Travel_Frequently,College,Negative,Positive,Engineer/TLCP,29,Negative,4,3,0,1,1,8,Negative,Yes,No,24,Negative,US
|
| 139 |
+
No,39,Female,Travel_Rarely,College,Positive,Neutral,Engineer/TLCP,29,Positive,3,3,2,3,1,4,Positive,Yes,Yes,16,Positive,India
|
| 140 |
+
No,25,Male,Travel_Rarely,College,Positive,Positive,Engineer/TLCP,28,Neutral,3,3,0,1,1,28,Positive,Yes,Yes,32,Positive,US
|
| 141 |
+
No,30,Male,Travel_Rarely,College,Positive,Positive,Engineer,29,Positive,3,2,2,2,3,9,Positive,Yes,Yes,8,Positive,India
|
| 142 |
+
Yes,32,Female,Travel_Rarely,College,Neutral,Negative,Analyst,28,Negative,3,2,0,2,1,9,Neutral,No,Yes,4,Positive,US
|
| 143 |
+
No,45,Male,Travel_Rarely,Doctorate,Neutral,Positive,Director,31,Neutral,4,6,2,3,1,29,Positive,No,Yes,16,Positive,Ireland
|
| 144 |
+
No,38,Female,Travel_Rarely,College,Neutral,Positive,Engineer,28,Positive,4,1,0,1,1,3,Neutral,No,No,20,Neutral,India
|
| 145 |
+
No,30,Female,Travel_Rarely,College,Positive,Positive,Engineer,28,Positive,2,3,2,3,1,18,Positive,No,No,24,Negative,US
|
| 146 |
+
No,32,Male,Travel_Frequently,College,Positive,Neutral,Engineer/TLCP,29,Positive,3,1,0,1,1,9,Neutral,No,No,8,Positive,India
|
| 147 |
+
No,30,Female,Travel_Rarely,College,Neutral,Neutral,Engineer/TLCP,28,Neutral,3,1,2,3,1,5,Negative,No,No,8,Positive,US
|
| 148 |
+
No,30,Male,Travel_Rarely,College,Positive,Negative,Engineer,28,Positive,3,2,0,1,1,2,Positive,No,No,4,Negative,India
|
| 149 |
+
No,41,Male,Travel_Frequently,College,Positive,Positive,Engineer,27,Neutral,3,2,2,2,3,10,Positive,No,Yes,16,Positive,US
|
| 150 |
+
No,41,Male,Travel_Rarely,College,Neutral,Positive,Engineer,29,Neutral,3,2,0,2,1,9,Neutral,No,Yes,24,Positive,India
|
| 151 |
+
No,19,Female,Travel_Rarely,High School,Positive,Positive,Admin,27,Positive,4,0,0,1,1,3,Positive,No,Yes,8,Positive,US
|
| 152 |
+
No,40,Female,Travel_Frequently,College,Positive,Positive,Manager,29,Negative,4,2,2,3,1,26,Positive,No,No,32,Positive,India
|
| 153 |
+
No,35,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Positive,4,2,0,1,1,1,Positive,Yes,No,40,Negative,US
|
| 154 |
+
No,53,Male,Travel_Rarely,Masters,Neutral,Positive,Manager,29,Positive,4,2,2,2,3,6,Neutral,Yes,No,22,Positive,India
|
| 155 |
+
No,45,Male,Travel_Rarely,College,Positive,Neutral,Engineer,27,Positive,3,2,0,2,1,9,Negative,Yes,Yes,15,Positive,US
|
| 156 |
+
No,32,Female,Travel_Frequently,College,Positive,Positive,Engineer,28,Positive,3,1,2,2,3,8,Positive,Yes,Yes,10,Positive,India
|
| 157 |
+
No,29,Male,Non-Travel,College,Positive,Positive,Engineer/TLCP,29,Neutral,3,1,0,2,1,1,Negative,Yes,Yes,12,Positive,US
|
| 158 |
+
No,51,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Negative,3,1,0,1,1,7,Neutral,Yes,Yes,4,Neutral,India
|
| 159 |
+
No,58,Female,Travel_Rarely,College,Neutral,Positive,Engineer,29,Positive,2,3,2,3,1,9,Neutral,Yes,Yes,10,Negative,US
|
| 160 |
+
No,40,Male,Travel_Rarely,College,Positive,Positive,Analyst,28,Positive,2,5,0,1,1,4,Neutral,Yes,Yes,8,Positive,India
|
| 161 |
+
No,34,Female,Travel_Frequently,College,Positive,Negative,Engineer,28,Positive,3,2,2,2,3,2,Positive,Yes,No,32,Positive,US
|
| 162 |
+
No,22,Male,Travel_Rarely,College,Positive,Negative,Engineer,27,Neutral,3,1,2,3,1,19,Neutral,No,No,10,Negative,India
|
| 163 |
+
No,27,Male,Non-Travel,College,Neutral,Positive,Engineer,27,Positive,3,2,0,1,1,9,Positive,No,No,8,Positive,US
|
| 164 |
+
No,28,Male,Travel_Rarely,College,Positive,Positive,Engineer/TLCP,28,Positive,3,2,2,3,1,21,Neutral,No,No,8,Positive,India
|
| 165 |
+
No,57,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Neutral,3,7,0,1,1,24,Positive,No,No,8,Positive,US
|
| 166 |
+
No,27,Male,Non-Travel,College,Positive,Positive,Engineer,28,Negative,2,1,2,3,1,3,Positive,No,Yes,10,Positive,India
|
| 167 |
+
No,50,Female,Travel_Rarely,College,Positive,Positive,Engineer,28,Positive,2,9,0,1,1,11,Neutral,No,Yes,8,Negative,US
|
| 168 |
+
No,41,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Positive,2,2,2,2,3,14,Positive,No,Yes,32,Positive,India
|
| 169 |
+
No,30,Female,Travel_Rarely,College,Positive,Negative,Engineer,27,Neutral,3,1,0,2,1,5,Neutral,Yes,Yes,10,Neutral,US
|
| 170 |
+
No,38,Female,Travel_Rarely,College,Positive,Neutral,Engineer,29,Positive,3,1,0,1,1,1,Neutral,Yes,No,8,Positive,India
|
| 171 |
+
No,32,Male,Travel_Rarely,College,Positive,Negative,Engineer/TLCP,28,Neutral,2,2,2,2,3,6,Positive,Yes,No,8,Positive,US
|
| 172 |
+
No,27,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,2,1,0,2,1,17,Neutral,Yes,No,8,Positive,India
|
| 173 |
+
Yes,19,Female,Travel_Frequently,High School,Positive,Negative,Admin,25,Negative,3,5,0,1,1,1,Positive,No,No,8,Neutral,US
|
| 174 |
+
No,36,Male,Travel_Frequently,College,Positive,Negative,Engineer,28,Positive,3,4,2,3,1,3,Positive,Yes,No,8,Negative,India
|
| 175 |
+
No,30,Male,Non-Travel,College,Positive,Positive,Engineer,28,Positive,3,2,0,1,1,9,Neutral,No,No,8,Positive,US
|
| 176 |
+
No,45,Female,Travel_Rarely,College,Positive,Positive,Manager,28,Neutral,3,3,2,2,3,4,Positive,Yes,Yes,10,Positive,India
|
| 177 |
+
No,56,Female,Travel_Rarely,College,Neutral,Positive,Engineer,29,Positive,4,3,2,3,1,8,Neutral,No,Yes,8,Negative,US
|
| 178 |
+
No,33,Male,Travel_Rarely,College,Positive,Negative,Engineer,29,Positive,4,2,0,1,1,2,Positive,No,Yes,32,Positive,India
|
| 179 |
+
Yes,19,Male,Travel_Rarely,High School,Negative,Negative,Admin,27,Positive,3,1,2,3,1,2,Neutral,Yes,Yes,10,Negative,US
|
| 180 |
+
No,46,Female,Travel_Rarely,College,Positive,Neutral,Engineer/TLCP,28,Positive,3,2,0,1,1,1,Neutral,Yes,Yes,8,Positive,India
|
| 181 |
+
No,38,Female,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,4,3,2,3,1,9,Positive,Yes,No,8,Positive,US
|
| 182 |
+
No,31,Female,Travel_Rarely,College,Positive,Positive,Engineer,28,Negative,3,2,0,1,1,12,Positive,No,No,8,Negative,India
|
| 183 |
+
No,34,Female,Travel_Rarely,College,Neutral,Positive,Engineer,28,Positive,3,2,2,2,3,27,Positive,No,No,8,Positive,US
|
| 184 |
+
Yes,41,Female,Travel_Rarely,Masters,Neutral,Positive,Engineer/TLCP,30,Negative,5,3,0,2,1,20,Positive,No,No,8,Neutral,India
|
| 185 |
+
No,50,Male,Travel_Rarely,College,Neutral,Positive,Engineer,29,Positive,3,1,0,1,1,1,Positive,No,No,10,Positive,US
|
| 186 |
+
No,53,Female,Travel_Rarely,High School,Neutral,Positive,Engineer,28,Positive,3,4,2,2,3,13,Positive,No,No,8,Positive,India
|
| 187 |
+
No,33,Female,Travel_Rarely,College,Neutral,Negative,Engineer/TLCP,29,Neutral,4,3,1,3,2,14,Positive,No,No,32,Positive,US
|
| 188 |
+
No,40,Female,Travel_Rarely,College,Neutral,Neutral,Engineer,27,Positive,3,3,0,2,1,4,Positive,No,No,8,Neutral,India
|
| 189 |
+
No,55,Male,Travel_Rarely,High School,Positive,Neutral,Engineer,28,Positive,4,4,1,2,1,14,Positive,No,No,8,Negative,US
|
| 190 |
+
No,34,Male,Travel_Frequently,College,Positive,Neutral,Engineer,28,Neutral,4,1,0,1,2,2,Positive,No,No,8,Positive,India
|
| 191 |
+
No,51,Female,Travel_Rarely,College,Positive,Neutral,Engineer,28,Neutral,4,8,1,2,1,3,Positive,Yes,No,8,Positive,US
|
| 192 |
+
No,52,Male,Travel_Rarely,College,Positive,Neutral,Engineer/TLCP,28,Positive,3,10,0,2,1,1,Neutral,Yes,No,8,Negative,India
|
| 193 |
+
No,27,Female,Travel_Rarely,College,Positive,Negative,Engineer,27,Positive,3,2,0,1,1,9,Neutral,Yes,No,10,Positive,US
|
| 194 |
+
Yes,35,Male,Travel_Rarely,Masters,Negative,Negative,Manager,29,Neutral,3,3,2,2,3,23,Negative,Yes,No,8,Negative,India
|
| 195 |
+
No,43,Male,Non-Travel,College,Positive,Positive,Engineer,28,Negative,4,4,1,3,2,7,Positive,No,No,32,Positive,US
|
| 196 |
+
No,45,Male,Non-Travel,College,Positive,Positive,Engineer/TLCP,28,Neutral,4,2,1,2,1,2,Neutral,No,No,8,Positive,India
|
| 197 |
+
No,37,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Neutral,3,5,0,2,1,21,Neutral,No,No,8,Negative,US
|
| 198 |
+
No,35,Female,Travel_Frequently,College,Neutral,Positive,Engineer,29,Positive,2,1,0,1,1,2,Positive,No,Yes,8,Positive,India
|
| 199 |
+
No,42,Female,Non-Travel,College,Positive,Positive,Engineer/TLCP,28,Positive,4,2,1,3,2,21,Positive,Yes,Yes,8,Neutral,US
|
| 200 |
+
No,38,Male,Travel_Rarely,College,Neutral,Negative,Manager,27,Positive,3,2,5,3,1,2,Positive,Yes,No,5,Positive,US
|
| 201 |
+
No,38,Male,Travel_Rarely,College,Positive,Positive,Director,30,Neutral,3,0,0,1,1,29,Neutral,No,Yes,9,Positive,US
|
| 202 |
+
No,27,Male,Travel_Frequently,College,Neutral,Negative,Director,28,Negative,3,3,0,2,3,1,Neutral,No,No,2,Positive,India
|
| 203 |
+
No,49,Male,Non-Travel,College,Positive,Positive,Admin,27,Positive,3,1,0,2,1,18,Positive,Yes,Yes,15,Neutral,US
|
| 204 |
+
No,34,Male,Travel_Frequently,College,Positive,Negative,Engineer,27,Positive,2,1,0,3,1,10,Neutral,Yes,Yes,8,Negative,India
|
| 205 |
+
No,40,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,27,Positive,4,0,1,1,1,19,Neutral,Yes,Yes,5,Positive,India
|
| 206 |
+
Yes,38,Male,Travel_Rarely,College,Neutral,Negative,EngineerTLCP,28,Negative,2,2,5,2,3,29,Negative,Yes,No,5,Positive,India
|
| 207 |
+
Yes,29,Female,Travel_Rarely,College,Neutral,Negative,Analyst,28,Negative,3,2,2,2,2,27,Neutral,Yes,Yes,8,Negative,India
|
| 208 |
+
No,22,Male,Travel_Rarely,College,Positive,Positive,Engineer,29,Positive,4,0,0,3,1,5,Positive,Yes,Yes,8,Positive,India
|
| 209 |
+
No,36,Female,Travel_Frequently,College,Positive,Positive,Engineer,27,Positive,4,1,1,1,1,18,Positive,Yes,Yes,8,Positive,US
|
| 210 |
+
No,40,Male,Non-Travel,College,Positive,Positive,Director,27,Positive,5,4,2,3,1,9,Positive,No,No,6,Positive,US
|
| 211 |
+
No,46,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,27,Positive,2,2,0,1,1,1,Positive,No,Yes,12,Positive,India
|
| 212 |
+
Yes,32,Male,Travel_Rarely,College,Negative,Neutral,Admin,27,Neutral,4,3,1,2,3,4,Negative,Yes,No,9,Negative,India
|
| 213 |
+
No,30,Male,Non-Travel,College,Neutral,Positive,Admin,27,Positive,4,3,2,2,1,1,Positive,Yes,No,2,Positive,India
|
| 214 |
+
No,27,Female,Travel_Frequently,College,Neutral,Negative,Analyst,27,Positive,4,3,2,3,1,20,Neutral,Yes,Yes,4,Positive,India
|
| 215 |
+
No,51,Male,Travel_Rarely,College,Neutral,Positive,Director,28,Neutral,3,2,1,1,1,8,Neutral,Yes,Yes,8,Positive,India
|
| 216 |
+
Yes,30,Female,Travel_Rarely,College,Negative,Negative,Director,30,Negative,4,4,0,3,1,3,Negative,Yes,Yes,6,Neutral,India
|
| 217 |
+
No,41,Female,Travel_Rarely,College,Neutral,Positive,Engineer,27,Positive,3,1,2,1,1,6,Positive,Yes,Yes,12,Negative,India
|
| 218 |
+
Yes,30,Female,Travel_Frequently,College,Negative,Neutral,Admin,27,Positive,2,1,3,3,1,26,Positive,No,Yes,8,Positive,India
|
| 219 |
+
Yes,29,Male,Travel_Rarely,College,Positive,Neutral,Admin,27,Neutral,4,1,1,1,1,1,Negative,Yes,Yes,11,Negative,India
|
| 220 |
+
No,45,Female,Non-Travel,College,Positive,Positive,Director,30,Negative,2,4,1,2,3,6,Positive,No,Yes,12,Negative,US
|
| 221 |
+
No,54,Female,Travel_Rarely,Highschool,Positive,Positive,Manager,27,Neutral,3,1,0,2,1,3,Positive,Yes,No,5,Positive,US
|
| 222 |
+
No,36,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,28,Negative,3,3,0,1,1,5,Positive,No,Yes,8,Positive,India
|
| 223 |
+
No,33,Female,Travel_Rarely,College,Positive,Negative,Engineer,27,Positive,3,4,1,3,1,4,Neutral,Yes,Yes,4,Positive,US
|
| 224 |
+
No,37,Male,Travel_Frequently,College,Positive,Positive,Analyst,27,Positive,5,2,2,1,1,11,Positive,No,Yes,10,Positive,US
|
| 225 |
+
No,38,Male,Travel_Rarely,College,Positive,Positive,Analyst,27,Positive,4,2,0,2,3,3,Positive,Yes,Yes,6,Negative,India
|
| 226 |
+
No,31,Male,Non-Travel,College,Neutral,Positive,Manager,27,Positive,3,1,3,2,1,1,Positive,Yes,No,7,Positive,India
|
| 227 |
+
No,59,Male,Travel_Rarely,Highschool,Positive,Positive,Manager,27,Positive,3,3,0,2,3,3,Neutral,No,Yes,12,Neutral,US
|
| 228 |
+
No,37,Male,Travel_Frequently,College,Positive,Positive,EngineerTLCP,29,Positive,5,4,0,2,1,4,Neutral,No,Yes,10,Positive,India
|
| 229 |
+
No,29,Female,Travel_Frequently,College,Neutral,Negative,Engineer,27,Positive,4,2,2,1,1,1,Positive,Yes,Yes,8,Neutral,India
|
| 230 |
+
No,35,Female,Travel_Frequently,College,Positive,Positive,Manager,30,Negative,2,2,0,3,1,1,Positive,Yes,No,7,Positive,US
|
| 231 |
+
Yes,29,Male,Travel_Rarely,College,Neutral,Negative,Manager,28,Negative,3,3,2,1,1,18,Neutral,Yes,No,2,Positive,India
|
| 232 |
+
No,52,Female,Travel_Rarely,Masters,Positive,Positive,Analyst,27,Negative,5,6,1,2,3,2,Neutral,No,No,4,Positive,India
|
| 233 |
+
No,42,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,5,0,0,3,1,4,Neutral,Yes,Yes,9,Neutral,US
|
| 234 |
+
No,59,Male,Travel_Rarely,Masters,Positive,Positive,Engineer,27,Positive,2,5,2,1,1,6,Neutral,No,Yes,10,Negative,US
|
| 235 |
+
No,50,Female,Travel_Rarely,College,Positive,Positive,Engineer,28,Neutral,3,2,0,3,1,1,Neutral,No,Yes,11,Positive,US
|
| 236 |
+
Yes,33,Male,Travel_Rarely,College,Neutral,Negative,Manager,28,Positive,4,1,0,1,1,14,Negative,Yes,Yes,8,Negative,US
|
| 237 |
+
No,43,Female,Travel_Rarely,College,Positive,Neutral,Manager,28,Positive,4,4,2,3,1,16,Positive,Yes,Yes,8,Negative,India
|
| 238 |
+
Yes,33,Female,Travel_Rarely,College,Negative,Negative,Director,28,Negative,3,4,1,1,1,2,Negative,Yes,Yes,4,Negative,India
|
| 239 |
+
No,52,Male,Non-Travel,College,Positive,Positive,Manager,27,Positive,5,4,0,2,3,2,Positive,Yes,Yes,10,Positive,US
|
| 240 |
+
No,32,Female,Travel_Rarely,College,Positive,Positive,Director,30,Positive,3,0,0,2,1,4,Positive,Yes,Yes,8,Positive,India
|
| 241 |
+
Yes,32,Male,Travel_Rarely,College,Negative,Neutral,Director,28,Positive,3,1,3,1,1,1,Neutral,Yes,No,7,Positive,India
|
| 242 |
+
No,39,Female,Travel_Rarely,College,Positive,Neutral,Admin,27,Positive,4,6,1,2,3,1,Neutral,No,Yes,12,Negative,India
|
| 243 |
+
No,32,Male,Non-Travel,College,Neutral,Positive,Engineer,27,Positive,4,3,1,2,1,26,Neutral,Yes,No,9,Positive,US
|
| 244 |
+
No,41,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,27,Positive,5,0,0,1,1,19,Neutral,No,Yes,12,Neutral,US
|
| 245 |
+
No,40,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,28,Positive,4,1,0,3,1,24,Positive,Yes,Yes,15,Positive,US
|
| 246 |
+
No,45,Male,Travel_Rarely,College,Neutral,Neutral,Analyst,28,Positive,3,1,0,1,1,1,Positive,Yes,Yes,6,Neutral,India
|
| 247 |
+
No,31,Male,Travel_Frequently,College,Neutral,Positive,Engineer,29,Negative,3,3,1,2,3,3,Positive,No,Yes,15,Negative,India
|
| 248 |
+
No,33,Female,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,3,0,0,3,1,5,Neutral,Yes,Yes,9,Positive,India
|
| 249 |
+
No,34,Male,Travel_Rarely,College,Positive,Positive,Director,27,Positive,3,0,0,1,1,2,Neutral,No,Yes,12,Positive,India
|
| 250 |
+
No,37,Female,Travel_Rarely,College,Positive,Positive,EngineerTLCP,27,Positive,3,4,1,3,1,1,Neutral,Yes,Yes,5,Positive,US
|
| 251 |
+
No,45,Male,Travel_Frequently,College,Positive,Positive,Admin,27,Positive,2,5,0,1,1,7,Positive,No,Yes,14,Positive,US
|
| 252 |
+
Yes,37,Male,Travel_Frequently,College,Positive,Neutral,Admin,27,Negative,2,2,1,3,1,10,Negative,No,Yes,12,Negative,India
|
| 253 |
+
No,39,Female,Travel_Frequently,College,Positive,Positive,Analyst,27,Positive,3,0,0,1,1,2,Positive,Yes,Yes,5,Negative,India
|
| 254 |
+
No,29,Male,Travel_Rarely,College,Positive,Positive,Director,28,Positive,3,1,1,2,3,15,Neutral,Yes,Yes,11,Positive,India
|
| 255 |
+
No,42,Female,Travel_Rarely,College,Positive,Positive,Director,30,Neutral,3,2,0,2,1,17,Neutral,No,Yes,15,Positive,India
|
| 256 |
+
No,29,Male,Travel_Rarely,College,Neutral,Negative,Engineer,27,Positive,3,1,0,1,1,20,Positive,Yes,No,8,Negative,India
|
| 257 |
+
No,25,Female,Travel_Rarely,College,Positive,Positive,Admin,27,Positive,2,0,0,2,3,1,Negative,Yes,No,9,Positive,India
|
| 258 |
+
No,42,Female,Travel_Rarely,College,Positive,Positive,Admin,27,Positive,4,3,0,3,2,2,Positive,Yes,No,10,Positive,US
|
| 259 |
+
No,40,Male,Travel_Rarely,College,Positive,Positive,Director,30,Positive,2,2,0,2,1,2,Positive,Yes,Yes,5,Positive,US
|
| 260 |
+
No,51,Male,Travel_Rarely,College,Positive,Positive,Manager,27,Positive,3,6,0,2,1,1,Neutral,Yes,Yes,2,Positive,India
|
| 261 |
+
Yes,31,Male,Travel_Frequently,College,Neutral,Negative,EngineerTLCP,28,Negative,4,1,0,1,2,29,Positive,Yes,No,8,Negative,India
|
| 262 |
+
No,32,Male,Travel_Frequently,College,Positive,Positive,Engineer,27,Positive,4,0,0,2,1,7,Positive,No,No,9,Positive,India
|
| 263 |
+
No,38,Male,Non-Travel,College,Positive,Positive,Analyst,27,Positive,5,4,1,2,1,2,Neutral,Yes,Yes,5,Neutral,India
|
| 264 |
+
No,32,Male,Travel_Rarely,College,Positive,Positive,Analyst,27,Positive,2,1,0,1,1,2,Positive,Yes,Yes,9,Positive,India
|
| 265 |
+
No,46,Female,Travel_Rarely,College,Positive,Positive,Manager,27,Positive,4,3,0,2,3,2,Negative,No,Yes,12,Neutral,US
|
| 266 |
+
Yes,28,Male,Travel_Rarely,College,Neutral,Negative,Manager,27,Negative,4,3,0,3,2,2,Negative,No,No,2,Negative,India
|
| 267 |
+
No,29,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,29,Positive,4,1,0,2,1,2,Positive,Yes,Yes,4,Positive,India
|
| 268 |
+
No,31,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,3,0,1,2,1,23,Neutral,No,Yes,20,Positive,US
|
| 269 |
+
No,25,Male,Non-Travel,College,Positive,Positive,Manager,30,Positive,4,1,0,1,1,5,Neutral,Yes,No,4,Positive,India
|
| 270 |
+
No,45,Male,Travel_Rarely,Masters,Neutral,Positive,Manager,28,Positive,3,0,4,3,2,20,Positive,Yes,No,5,Neutral,US
|
| 271 |
+
No,36,Male,Travel_Rarely,College,Positive,Positive,Analyst,27,Positive,2,2,1,3,1,6,Neutral,No,Yes,12,Negative,US
|
| 272 |
+
No,55,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,4,4,0,1,1,1,Negative,No,No,13,Positive,US
|
| 273 |
+
Yes,47,Male,Non-Travel,Masters,Negative,Neutral,Engineer,27,Negative,2,0,4,2,3,29,Negative,Yes,No,5,Positive,US
|
| 274 |
+
No,28,Male,Travel_Rarely,College,Positive,Positive,Engineer,28,Positive,3,0,0,2,1,9,Positive,Yes,Yes,9,Negative,India
|
| 275 |
+
No,37,Male,Travel_Rarely,College,Positive,Positive,Manager,28,Negative,3,3,0,3,1,6,Neutral,Yes,Yes,8,Positive,India
|
| 276 |
+
No,21,Male,Travel_Rarely,College,Positive,Positive,Manager,28,Positive,3,0,0,1,1,3,Positive,No,Yes,20,Positive,India
|
| 277 |
+
No,37,Female,Non-Travel,College,Neutral,Positive,Director,28,Positive,5,3,0,2,3,1,Negative,No,Yes,18,Positive,India
|
| 278 |
+
No,35,Female,Travel_Rarely,College,Positive,Positive,Manager,27,Positive,4,1,0,2,2,22,Positive,Yes,Yes,5,Positive,US
|
| 279 |
+
No,38,Female,Travel_Rarely,College,Neutral,Positive,Director,30,Positive,3,2,0,3,1,7,Neutral,No,Yes,14,Positive,US
|
| 280 |
+
No,26,Female,Travel_Frequently,College,Neutral,Negative,Director,28,Positive,3,3,0,1,1,1,Positive,No,No,2,Positive,India
|
| 281 |
+
No,50,Male,Travel_Rarely,College,Neutral,Positive,Admin,27,Positive,5,0,1,3,1,4,Positive,Yes,No,5,Positive,US
|
| 282 |
+
No,53,Male,Travel_Rarely,College,Positive,Positive,Engineer,27,Positive,4,5,0,1,1,3,Negative,No,Yes,13,Neutral,US
|
| 283 |
+
No,42,Male,Travel_Rarely,College,Neutral,Positive,EngineerTLCP,27,Positive,2,2,0,2,3,1,Neutral,No,Yes,8,Negative,US
|
| 284 |
+
No,29,Male,Travel_Frequently,College,Positive,Positive,EngineerTLCP,28,Positive,3,1,0,2,1,2,Positive,Yes,No,9,Positive,India
|
| 285 |
+
No,55,Male,Travel_Rarely,College,Positive,Positive,Analyst,28,Positive,5,8,0,3,1,20,Positive,Yes,No,9,Positive,India
|
| 286 |
+
No,26,Male,Travel_Frequently,College,Positive,Positive,Engineer,29,Positive,5,1,0,1,1,11,Positive,Yes,Yes,12,Negative,US
|
| 287 |
+
No,37,Female,Travel_Rarely,College,Neutral,Positive,Engineer,27,Positive,2,6,0,3,1,1,Neutral,No,Yes,15,Positive,India
|
| 288 |
+
Yes,44,Male,Travel_Frequently,College,Neutral,Negative,Director,27,Neutral,3,2,1,1,1,24,Negative,No,Yes,8,Negative,US
|
| 289 |
+
No,38,Male,Travel_Rarely,College,Positive,Positive,EngineerTLCP,27,Neutral,4,4,0,3,1,23,Positive,Yes,Yes,9,Positive,US
|
| 290 |
+
Yes,26,Male,Travel_Rarely,College,Negative,Neutral,Admin,27,Negative,4,3,0,1,1,16,Negative,Yes,Yes,14,Negative,India
|
| 291 |
+
No,28,Female,Travel_Rarely,College,Neutral,Positive,Admin,27,Positive,3,1,3,2,3,8,Neutral,Yes,Yes,8,Negative,India
|
| 292 |
+
No,49,Female,Travel_Frequently,College,Positive,Positive,Analyst,27,Neutral,5,1,0,2,1,10,Neutral,No,Yes,11,Positive,US
|
| 293 |
+
No,36,Male,Travel_Rarely,College,Positive,Positive,Director,28,Positive,3,3,0,1,1,3,Neutral,No,Yes,20,Neutral,US
|
| 294 |
+
No,31,Female,Travel_Frequently,College,Neutral,Negative,Director,30,Positive,3,4,0,3,1,5,Positive,Yes,Yes,6,Positive,US
|
| 295 |
+
Yes,26,Male,Travel_Rarely,College,Neutral,Negative,Engineer,27,Negative,4,2,1,1,1,4,Neutral,Yes,No,10,Neutral,US
|
| 296 |
+
No,37,Male,Travel_Frequently,College,Positive,Positive,Admin,27,Positive,4,1,0,2,3,9,Positive,Yes,Yes,5,Positive,US
|
| 297 |
+
No,42,Female,Travel_Frequently,Engineer,Positive,Positive,Admin,27,Positive,5,1,0,2,1,26,Positive,Yes,No,7,Neutral,US
|
| 298 |
+
Yes,18,Male,Travel_Rarely,Highschool,Negative,Negative,Director,30,Positive,4,0,0,2,3,3,Negative,Yes,Yes,4,Negative,US
|
| 299 |
+
No,35,Male,Travel_Rarely,College,Positive,Positive,Manager,27,Negative,3,1,0,2,1,16,Negative,Yes,Yes,10,Positive,India
|
requirements.txt
CHANGED
|
@@ -2,3 +2,6 @@ scipy
|
|
| 2 |
ftfy
|
| 3 |
emoji-country-flag
|
| 4 |
git+https://github.com/openai/whisper.git
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ftfy
|
| 3 |
emoji-country-flag
|
| 4 |
git+https://github.com/openai/whisper.git
|
| 5 |
+
cufflinks
|
| 6 |
+
sklearn
|
| 7 |
+
seaborn
|