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Engagement Eda Tf093D3 In Minutes

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How it works

Exploratory analysis of employee engagement, satisfaction dimensions, and their relationships with organizational factors, demographics, and attrition across 1,470 employees.

What are the engagement and satisfaction levels across our workforce, and how do they vary by department, role, demographics, and employment factors?

What data do you need?

Dataset with 32 columns

employee_number (identifier)	job_satisfaction (numeric)	environment_satisfaction (numeric)	work_life_balance (numeric)	job_involvement (numeric)	relationship_satisfaction (numeric)	age (numeric)	gender (categorical)	marital_status (categorical)	education_level (numeric)	education_field (categorical)	department (categorical)	job_role (categorical)	job_level (numeric)	business_travel (categorical)	years_at_company (numeric)	years_in_current_role (numeric)	years_with_current_manager (numeric)	years_since_last_promotion (numeric)	total_working_years (numeric)	num_companies_worked (numeric)	over_time (binary)	training_times_last_year (numeric)	monthly_income (numeric)	performance_rating (numeric)	percent_salary_hike (numeric)	stock_option_level (numeric)	attrition (binary)	daily_rate (numeric)	hourly_rate (numeric)	monthly_rate (numeric)	distance_from_home (numeric)

Minimum 30 rows

What's in the report?

Engagement Eda Tf093D3 analysis with interactive charts, tables, and AI insights.

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Satisfaction Dimensions Distribution

Interactive box visualization

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Job Satisfaction by Department

Interactive horizontal_bar visualization

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Work-Life Balance by Job Role

Interactive horizontal_bar visualization

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Age Distribution

Interactive histogram visualization

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Tenure at Company Distribution

Interactive histogram visualization

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Engagement Drivers Correlation Matrix

Interactive heatmap visualization

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Attrition Risk Profile by Segment

Interactive table visualization

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Work-Life Balance by Travel Frequency & Department

Interactive grouped_bar visualization

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Summary Statistics for All Numeric Variables

Interactive table visualization

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AI Insights

Plain-English interpretation — what the numbers mean, what's significant, and what to do next.

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See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.

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