PHPMem v2.0.1
Version
1.6.45
Uptime
7 days 17 hours 20 minutes 2 seconds
Memory
Total
512MB
Used
8,23MB (1.61%)
Free
503,77MB
Keys
Current
6 304
Total (since start)
11 096
Evictions
0
Reclaimed
298
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
4 / 1 024 max
Total
71 534
Rejected
0
llm:2edc38b9c11067b44f4d2eb14be0fe473ce046f8f790113dbc0a6780669a44d8
Edit
{
"action": "final",
"content": "## Missing Values Analysis\n\nThree columns in the Titanic dataset contain missing values:\n\n1. **Cabin** — 687 missing values (77.1% of all rows)\n - This is by far the most incomplete column, with over three-quarters of passengers having no cabin information recorded.\n\n2. **Age** — 177 missing values (19.87% of all rows)\n - Nearly one in five passengers is missing age data.\n\n3. **Embarked** — 2 missing values (0.22% of all rows)\n - Only two passengers lack embarkation port information, making this essentially complete.\n\nAll other columns (Pclass, SibSp, PassengerId, Ticket, Survived, Parch, Name, Sex, Fare) have **zero missing values** — they are 100% complete across all 891 passengers.\n\nThe high missingness in Cabin (77%) suggests this field was not systematically recorded for most passengers, likely reflecting differences in record-keeping between passenger classes or embarkation points. Age missingness at ~20% is substantial enough to require careful handling in any survival analysis that depends on age as a factor."
}