# Partial Analysis: Most Common Values in Categorical Columns Based on the evidence gathered, I can provide frequency information for the main categorical columns in this call analytics dataset: ## 1. **Day** (Primary Date/Day Column) The `Day` column contains a mix of values including: - **Day-of-week labels**: Thu, Fri, Sat, Sun, Mon, Tue, Today (each appears 1 time in the main data) - **Specific dates**: Multiple dates from June-July 2026 (each appears 1 time) - **Special labels**: "TOTAL" (appears **3 times** - the most frequent value) The data shows 7 day-of-week summary rows plus 30 individual date rows (23-Jun through 22-Jul), plus aggregate/header rows. ## 2. **Total Calls** Column Most common values (from step-4): - **"2026-07-21"**: 26 occurrences - **"2026-07-20"**: 26 occurrences - **"2026-07-19"**: 26 occurrences - **"2026-07-18"**: 26 occurrences - **"2026-07-22"**: 26 occurrences - **"2026-07-17"**: 20 occurrences - **"435"**: 2 occurrences - **"Count"**: 2 occurrences - **"352"**: 2 occurrences - **"305"**: 2 occurrences *Note: This column appears to contain mixed data types (dates and numeric values), suggesting data quality issues.* ## 3. **Voicemail** Column Most common values (from step-7, step-11): - **"Insurance coverage question"**: 19 occurrences - **"Appointment booking"**: 16 occurrences - **"Billing inquiry"**: 15 occurrences - **"General FAQ"**: 15 occurrences - **"Prescription refill request"**: 13 occurrences - **"Lab results inquiry"**: 13 occurrences - **"Enrollment question"**: 12 occurrences - **"Financial aid inquiry"**: 12 occurrences - **"IT support request"**: 12 occurrences - **"Referral request"**: 9 occurrences ## 4. **Human Handled** Column Most common values (from step-7, step-11): - **"23"**: 4 occurrences - **"67"**: 2 occurrences - **"59"**: 2 occurrences - **"63"**: 2 occurrences - **"66"**: 2 occurrences Also contains phone numbers (e.g., "+1 250-620-8121") with 1 occurrence each. ## 5. **AI Handled** Column Most common values (from step-11): - **"02:09 p.m."**: 3 occurrences - **"05:02 p.m."**: 3 occurrences - **"01:11 p.m."**: 3 occurrences - **"05:34 p.m."**: 3 occurrences - **"05:39 p.m."**: 2 occurrences - **"03:22 p.m."**: 2 occurrences - **"283"**: 2 occurrences - **"319"**: 2 occurrences - **"245"**: 2 occurrences *Note: This column contains mixed time values and numeric values.* ## 6. **Metadata Columns** (Constant Values) - **_ingestion_timestamp**: "2026-09-29 17:23:34.624150" (1 distinct value) - **_batch_id**: "batch_bc2086992fe4" (1 distinct value) - **_source_file**: "/app/data/datasets/d_073d0e2c/raw/callyeah-analytics-2026-07-23.csv" (1 distinct value) - **_source_system**: "api" (1 distinct value) ## Data Quality Notes The evidence reveals significant **data quality issues**: - Multiple columns contain mixed data types (dates, times, numbers, text) - The dataset appears to contain both summary rows and detail rows intermixed - Column names like `_unnamed_7`, `_unnamed_8`, `_unnamed_9` suggest structural issues in the source data **What remains uncertain**: The exact structure and intended use of columns like AI Handled, Human Handled, and Total Calls, which appear to contain inconsistent data types that would normally be numeric but also contain timestamps, dates, and other values.