Dataset statistics
| Number of variables | 20 |
|---|---|
| Number of observations | 49 |
| Missing cells | 90 |
| Missing cells (%) | 9.2% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 8.5 KiB |
| Average record size in memory | 176.7 B |
Variable types
| Numeric | 13 |
|---|---|
| Text | 3 |
| Categorical | 2 |
| DateTime | 2 |
Dataset
| Description | Sample |
|---|---|
| Author | 올시데이터 |
| URL | https://www.bigdata-sea.kr/datasearch/base/view.do?prodId=PROD_000428 |
SHIP_OWNER_NM has constant value "" | Constant |
MMSI is highly overall correlated with RN and 2 other fields | High correlation |
IMO_IDNTF_NO is highly overall correlated with DRAFT and 4 other fields | High correlation |
SHIP_WDTH is highly overall correlated with SHIP_LNTH and 3 other fields | High correlation |
SHIP_LNTH is highly overall correlated with SHIP_WDTH and 3 other fields | High correlation |
DRAFT is highly overall correlated with IMO_IDNTF_NO and 6 other fields | High correlation |
BULD_YR is highly overall correlated with IMO_IDNTF_NO and 4 other fields | High correlation |
DDWGHT is highly overall correlated with IMO_IDNTF_NO and 5 other fields | High correlation |
DPTRP_LA is highly overall correlated with SHIP_KIND and 1 other fields | High correlation |
DPTRP_LO is highly overall correlated with SHIP_KIND and 1 other fields | High correlation |
DTNT_LA is highly overall correlated with DTNT_LO and 2 other fields | High correlation |
DTNT_LO is highly overall correlated with DTNT_LA and 2 other fields | High correlation |
NVGTN_DIST is highly overall correlated with SHIP_KIND and 1 other fields | High correlation |
RN is highly overall correlated with MMSI | High correlation |
SHIP_KIND is highly overall correlated with MMSI and 11 other fields | High correlation |
SHIP_HGHT is highly overall correlated with MMSI and 12 other fields | High correlation |
SHIP_HGHT is highly imbalanced (63.2%) | Imbalance |
SHIP_NM has 1 (2.0%) missing values | Missing |
SHIP_OWNER_NM has 48 (98.0%) missing values | Missing |
SHPYRD_NM has 41 (83.7%) missing values | Missing |
MMSI has unique values | Unique |
NVGTN_DIST has unique values | Unique |
RN has unique values | Unique |
IMO_IDNTF_NO has 41 (83.7%) zeros | Zeros |
SHIP_WDTH has 1 (2.0%) zeros | Zeros |
SHIP_LNTH has 1 (2.0%) zeros | Zeros |
DRAFT has 43 (87.8%) zeros | Zeros |
BULD_YR has 35 (71.4%) zeros | Zeros |
DDWGHT has 38 (77.6%) zeros | Zeros |
DPTRP_LA has 4 (8.2%) zeros | Zeros |
DPTRP_LO has 4 (8.2%) zeros | Zeros |
DTNT_LA has 11 (22.4%) zeros | Zeros |
DTNT_LO has 11 (22.4%) zeros | Zeros |
Reproduction
| Analysis started | 2023-12-10 14:25:49.487340 |
|---|---|
| Analysis finished | 2023-12-10 14:26:04.400810 |
| Duration | 14.91 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
MMSI
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 49 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.0554186 × 108 |
| Minimum | 2.0552299 × 108 |
|---|---|
| Maximum | 2.05612 × 108 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | 2.0552299 × 108 |
|---|---|
| 5-th percentile | 2.0552405 × 108 |
| Q1 | 2.0552899 × 108 |
| median | 2.0553839 × 108 |
| Q3 | 2.0555139 × 108 |
| 95-th percentile | 2.0555776 × 108 |
| Maximum | 2.05612 × 108 |
| Range | 89010 |
| Interquartile range (IQR) | 22400 |
Descriptive statistics
| Standard deviation | 17941.239 |
|---|---|
| Coefficient of variation (CV) | 8.728752 × 10-5 |
| Kurtosis | 7.246439 |
| Mean | 2.0554186 × 108 |
| Median Absolute Deviation (MAD) | 11000 |
| Skewness | 2.2817364 |
| Sum | 1.0071551 × 1010 |
| Variance | 3.2188806 × 108 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=49)
| Value | Count | Frequency (%) |
| 205522990 | 1 | 2.0% |
| 205551590 | 1 | 2.0% |
| 205542290 | 1 | 2.0% |
| 205542590 | 1 | 2.0% |
| 205543000 | 1 | 2.0% |
| 205543790 | 1 | 2.0% |
| 205544190 | 1 | 2.0% |
| 205546690 | 1 | 2.0% |
| 205547690 | 1 | 2.0% |
| 205549390 | 1 | 2.0% |
| Other values (39) | 39 |
| Value | Count | Frequency (%) |
| 205522990 | 1 | |
| 205523290 | 1 | |
| 205523890 | 1 | |
| 205524290 | 1 | |
| 205524390 | 1 | |
| 205525390 | 1 | |
| 205526000 | 1 | |
| 205526290 | 1 | |
| 205526390 | 1 | |
| 205526890 | 1 |
| Value | Count | Frequency (%) |
| 205612000 | 1 | |
| 205609000 | 1 | |
| 205559000 | 1 | |
| 205555890 | 1 | |
| 205555790 | 1 | |
| 205554990 | 1 | |
| 205554090 | 1 | |
| 205553090 | 1 | |
| 205553000 | 1 | |
| 205552090 | 1 |
IMO_IDNTF_NO
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 9 |
|---|---|
| Distinct (%) | 18.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1524246 |
| Minimum | 0 |
|---|---|
| Maximum | 9444649 |
| Zeros | 41 |
| Zeros (%) | 83.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 9380953 |
| Maximum | 9444649 |
| Range | 9444649 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 3486595.4 |
|---|---|
| Coefficient of variation (CV) | 2.287423 |
| Kurtosis | 1.6011417 |
| Mean | 1524246 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.8805983 |
| Sum | 74688054 |
| Variance | 1.2156347 × 1013 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 0 | 41 | |
| 9361445 | 1 | 2.0% |
| 9367918 | 1 | 2.0% |
| 9177806 | 1 | 2.0% |
| 9389643 | 1 | 2.0% |
| 9444649 | 1 | 2.0% |
| 9416733 | 1 | 2.0% |
| 9292113 | 1 | 2.0% |
| 9237747 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 0 | 41 | |
| 9177806 | 1 | 2.0% |
| 9237747 | 1 | 2.0% |
| 9292113 | 1 | 2.0% |
| 9361445 | 1 | 2.0% |
| 9367918 | 1 | 2.0% |
| 9389643 | 1 | 2.0% |
| 9416733 | 1 | 2.0% |
| 9444649 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 9444649 | 1 | 2.0% |
| 9416733 | 1 | 2.0% |
| 9389643 | 1 | 2.0% |
| 9367918 | 1 | 2.0% |
| 9361445 | 1 | 2.0% |
| 9292113 | 1 | 2.0% |
| 9237747 | 1 | 2.0% |
| 9177806 | 1 | 2.0% |
| 0 | 41 |
SHIP_NM
Text
MISSING
| Distinct | 48 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 1 |
| Missing (%) | 2.0% |
| Memory size | 524.0 B |
Length
| Max length | 15 |
|---|---|
| Median length | 10 |
| Mean length | 7.375 |
| Min length | 4 |
Characters and Unicode
| Total characters | 354 |
|---|---|
| Distinct characters | 29 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 48 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | THALASSA |
|---|---|
| 2nd row | HYDRUS |
| 3rd row | TRAFUCO 7 |
| 4th row | CAYMAN |
| 5th row | SOMTRANS XXVIII |
| Value | Count | Frequency (%) |
| trafuco | 2 | 3.6% |
| somtrans | 2 | 3.6% |
| 2 | 2 | 3.6% |
| thalassa | 1 | 1.8% |
| westzee | 1 | 1.8% |
| targa | 1 | 1.8% |
| malia | 1 | 1.8% |
| eupen | 1 | 1.8% |
| marbella | 1 | 1.8% |
| savona | 1 | 1.8% |
| Other values (43) | 43 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 53 | |
| E | 36 | 10.2% |
| R | 30 | 8.5% |
| S | 27 | 7.6% |
| T | 23 | 6.5% |
| N | 23 | 6.5% |
| I | 20 | 5.6% |
| M | 14 | 4.0% |
| L | 14 | 4.0% |
| O | 13 | 3.7% |
| Other values (19) | 101 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 342 | |
| Space Separator | 8 | 2.3% |
| Decimal Number | 4 | 1.1% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 53 | |
| E | 36 | |
| R | 30 | 8.8% |
| S | 27 | 7.9% |
| T | 23 | 6.7% |
| N | 23 | 6.7% |
| I | 20 | 5.8% |
| M | 14 | 4.1% |
| L | 14 | 4.1% |
| O | 13 | 3.8% |
| Other values (15) | 89 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 2 | |
| 9 | 1 | |
| 7 | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 8 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 342 | |
| Common | 12 | 3.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 53 | |
| E | 36 | |
| R | 30 | 8.8% |
| S | 27 | 7.9% |
| T | 23 | 6.7% |
| N | 23 | 6.7% |
| I | 20 | 5.8% |
| M | 14 | 4.1% |
| L | 14 | 4.1% |
| O | 13 | 3.8% |
| Other values (15) | 89 |
Common
| Value | Count | Frequency (%) |
| 8 | ||
| 2 | 2 | 16.7% |
| 9 | 1 | 8.3% |
| 7 | 1 | 8.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 354 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 53 | |
| E | 36 | 10.2% |
| R | 30 | 8.5% |
| S | 27 | 7.6% |
| T | 23 | 6.5% |
| N | 23 | 6.5% |
| I | 20 | 5.6% |
| M | 14 | 4.0% |
| L | 14 | 4.0% |
| O | 13 | 3.7% |
| Other values (19) | 101 |
SHIP_KIND
Categorical
HIGH CORRELATION
| Distinct | 12 |
|---|---|
| Distinct (%) | 24.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 524.0 B |
| Inland Motor Tanker | |
|---|---|
| Inland Motor Tanker liquid cargo type C | |
| Inland Motor Tanker dry cargo as if liquid | |
| LPG Tanker | |
| Inland Tanker | |
| Other values (7) |
Length
| Max length | 46 |
|---|---|
| Median length | 42 |
| Mean length | 26.326531 |
| Min length | 4 |
Unique
| Unique | 6 ? |
|---|---|
| Unique (%) | 12.2% |
Sample
| 1st row | Inland Motor Tanker liquid cargo type C |
|---|---|
| 2nd row | Inland Motor Tanker |
| 3rd row | Inland Motor Tanker |
| 4th row | Inland Motor Tanker liquid cargo type C |
| 5th row | Inland Tanker |
Common Values
| Value | Count | Frequency (%) |
| Inland Motor Tanker | 18 | |
| Inland Motor Tanker liquid cargo type C | 15 | |
| Inland Motor Tanker dry cargo as if liquid | 3 | 6.1% |
| LPG Tanker | 3 | 6.1% |
| Inland Tanker | 2 | 4.1% |
| Floating Storage or Production | 2 | 4.1% |
| LNG Tanker | 1 | 2.0% |
| <NA> | 1 | 2.0% |
| Inland Pushtow four barges at least one tanker | 1 | 2.0% |
| Tanker | 1 | 2.0% |
| Other values (2) | 2 | 4.1% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| tanker | 46 | |
| inland | 40 | |
| motor | 37 | |
| liquid | 19 | |
| cargo | 19 | |
| type | 16 | 7.2% |
| c | 15 | 6.7% |
| dry | 3 | 1.3% |
| as | 3 | 1.3% |
| if | 3 | 1.3% |
| Other values (16) | 22 |
SHIP_WDTH
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 28 |
|---|---|
| Distinct (%) | 57.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16.067347 |
| Minimum | 0 |
|---|---|
| Maximum | 48 |
| Zeros | 1 |
| Zeros (%) | 2.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 5.82 |
| Q1 | 11.4 |
| median | 11.5 |
| Q3 | 17.5 |
| 95-th percentile | 43.4 |
| Maximum | 48 |
| Range | 48 |
| Interquartile range (IQR) | 6.1 |
Descriptive statistics
| Standard deviation | 10.18521 |
|---|---|
| Coefficient of variation (CV) | 0.63390737 |
| Kurtosis | 3.1747976 |
| Mean | 16.067347 |
| Median Absolute Deviation (MAD) | 3.3 |
| Skewness | 1.8256017 |
| Sum | 787.3 |
| Variance | 103.73849 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=28)
| Value | Count | Frequency (%) |
| 11.4 | 10 | |
| 15.0 | 4 | 8.2% |
| 17.5 | 4 | 8.2% |
| 43.4 | 3 | 6.1% |
| 11.5 | 3 | 6.1% |
| 10.0 | 2 | 4.1% |
| 17.0 | 2 | 4.1% |
| 5.1 | 1 | 2.0% |
| 6.3 | 1 | 2.0% |
| 17.6 | 1 | 2.0% |
| Other values (18) | 18 |
| Value | Count | Frequency (%) |
| 0.0 | 1 | |
| 5.1 | 1 | |
| 5.5 | 1 | |
| 6.3 | 1 | |
| 8.2 | 1 | |
| 9.5 | 1 | |
| 9.6 | 1 | |
| 10.0 | 2 | |
| 10.5 | 1 | |
| 11.0 | 1 |
| Value | Count | Frequency (%) |
| 48.0 | 1 | 2.0% |
| 43.4 | 3 | |
| 29.2 | 1 | 2.0% |
| 28.0 | 1 | 2.0% |
| 27.4 | 1 | 2.0% |
| 23.0 | 1 | 2.0% |
| 20.3 | 1 | 2.0% |
| 17.6 | 1 | 2.0% |
| 17.5 | 4 | |
| 17.0 | 2 |
SHIP_LNTH
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 20 |
|---|---|
| Distinct (%) | 40.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 119.60449 |
| Minimum | 0 |
|---|---|
| Maximum | 280 |
| Zeros | 1 |
| Zeros (%) | 2.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 27.56 |
| Q1 | 86 |
| median | 110 |
| Q3 | 135 |
| 95-th percentile | 273.6 |
| Maximum | 280 |
| Range | 280 |
| Interquartile range (IQR) | 49 |
Descriptive statistics
| Standard deviation | 60.81331 |
|---|---|
| Coefficient of variation (CV) | 0.5084534 |
| Kurtosis | 2.1009036 |
| Mean | 119.60449 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | 0.92755339 |
| Sum | 5860.62 |
| Variance | 3698.2587 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 135.0 | 14 | |
| 110.0 | 12 | |
| 280.0 | 3 | 6.1% |
| 86.0 | 3 | 6.1% |
| 109.9 | 2 | 4.1% |
| 0.2 | 1 | 2.0% |
| 165.0 | 1 | 2.0% |
| 172.0 | 1 | 2.0% |
| 264.0 | 1 | 2.0% |
| 85.0 | 1 | 2.0% |
| Other values (10) | 10 |
| Value | Count | Frequency (%) |
| 0.0 | 1 | |
| 0.2 | 1 | |
| 18.8 | 1 | |
| 40.7 | 1 | |
| 47.5 | 1 | |
| 47.6 | 1 | |
| 60.0 | 1 | |
| 73.0 | 1 | |
| 81.0 | 1 | |
| 85.0 | 1 |
| Value | Count | Frequency (%) |
| 280.0 | 3 | 6.1% |
| 264.0 | 1 | 2.0% |
| 172.02 | 1 | 2.0% |
| 172.0 | 1 | 2.0% |
| 165.0 | 1 | 2.0% |
| 135.0 | 14 | |
| 110.0 | 12 | |
| 109.9 | 2 | 4.1% |
| 106.0 | 1 | 2.0% |
| 86.0 | 3 | 6.1% |
SHIP_HGHT
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 5 |
|---|---|
| Distinct (%) | 10.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 524.0 B |
| 0.0 | |
|---|---|
| 26.0 | 3 |
| 18.2 | 2 |
| 23.2 | 1 |
| 17.8 | 1 |
Length
| Max length | 4 |
|---|---|
| Median length | 3 |
| Mean length | 3.1428571 |
| Min length | 3 |
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 4.1% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 42 | |
| 26.0 | 3 | 6.1% |
| 18.2 | 2 | 4.1% |
| 23.2 | 1 | 2.0% |
| 17.8 | 1 | 2.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0.0 | 42 | |
| 26.0 | 3 | 6.1% |
| 18.2 | 2 | 4.1% |
| 23.2 | 1 | 2.0% |
| 17.8 | 1 | 2.0% |
SHIP_OWNER_NM
Text
CONSTANT MISSING
| Distinct | 1 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 48 |
| Missing (%) | 98.0% |
| Memory size | 524.0 B |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 7 |
| Min length | 7 |
Characters and Unicode
| Total characters | 7 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | EURONAV |
|---|
| Value | Count | Frequency (%) |
| euronav | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| E | 1 | |
| U | 1 | |
| R | 1 | |
| O | 1 | |
| N | 1 | |
| A | 1 | |
| V | 1 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 7 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| E | 1 | |
| U | 1 | |
| R | 1 | |
| O | 1 | |
| N | 1 | |
| A | 1 | |
| V | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 7 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| E | 1 | |
| U | 1 | |
| R | 1 | |
| O | 1 | |
| N | 1 | |
| A | 1 | |
| V | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| E | 1 | |
| U | 1 | |
| R | 1 | |
| O | 1 | |
| N | 1 | |
| A | 1 | |
| V | 1 |
DRAFT
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 7 |
|---|---|
| Distinct (%) | 14.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.3857143 |
| Minimum | 0 |
|---|---|
| Maximum | 16.7 |
| Zeros | 43 |
| Zeros (%) | 87.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 10.52 |
| Maximum | 16.7 |
| Range | 16.7 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 3.8534076 |
|---|---|
| Coefficient of variation (CV) | 2.7808096 |
| Kurtosis | 6.1851633 |
| Mean | 1.3857143 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.6743326 |
| Sum | 67.9 |
| Variance | 14.84875 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0.0 | 43 | |
| 10.8 | 1 | 2.0% |
| 9.8 | 1 | 2.0% |
| 9.0 | 1 | 2.0% |
| 16.7 | 1 | 2.0% |
| 11.5 | 1 | 2.0% |
| 10.1 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 0.0 | 43 | |
| 9.0 | 1 | 2.0% |
| 9.8 | 1 | 2.0% |
| 10.1 | 1 | 2.0% |
| 10.8 | 1 | 2.0% |
| 11.5 | 1 | 2.0% |
| 16.7 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 16.7 | 1 | 2.0% |
| 11.5 | 1 | 2.0% |
| 10.8 | 1 | 2.0% |
| 10.1 | 1 | 2.0% |
| 9.8 | 1 | 2.0% |
| 9.0 | 1 | 2.0% |
| 0.0 | 43 |
SHPYRD_NM
Text
MISSING
| Distinct | 4 |
|---|---|
| Distinct (%) | 50.0% |
| Missing | 41 |
| Missing (%) | 83.7% |
| Memory size | 524.0 B |
Length
| Max length | 51 |
|---|---|
| Median length | 43.5 |
| Mean length | 18.875 |
| Min length | 4 |
Characters and Unicode
| Total characters | 151 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 25.0% |
Sample
| 1st row | DSME |
|---|---|
| 2nd row | HYUNDAI HEAVY INDUSTRIES |
| 3rd row | MHI NAGASAKI SHIPYARD & ENGINE WORKS |
| 4th row | DSME |
| 5th row | DSME |
| Value | Count | Frequency (%) |
| dsme | 4 | |
| heavy | 3 | |
| industries | 3 | |
| 3 | ||
| hyundai | 2 | |
| mhi | 1 | 4.2% |
| nagasaki | 1 | 4.2% |
| shipyard | 1 | 4.2% |
| engine | 1 | 4.2% |
| works | 1 | 4.2% |
| Other values (4) | 4 |
Most occurring characters
| Value | Count | Frequency (%) |
| 16 | ||
| S | 16 | |
| I | 15 | 9.9% |
| E | 14 | 9.3% |
| D | 11 | 7.3% |
| N | 10 | 6.6% |
| A | 10 | 6.6% |
| H | 8 | 5.3% |
| U | 7 | 4.6% |
| M | 6 | 4.0% |
| Other values (15) | 38 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 131 | |
| Space Separator | 16 | 10.6% |
| Other Punctuation | 3 | 2.0% |
| Dash Punctuation | 1 | 0.7% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 16 | |
| I | 15 | |
| E | 14 | |
| D | 11 | 8.4% |
| N | 10 | 7.6% |
| A | 10 | 7.6% |
| H | 8 | 6.1% |
| U | 7 | 5.3% |
| M | 6 | 4.6% |
| Y | 6 | 4.6% |
| Other values (11) | 28 |
Other Punctuation
| Value | Count | Frequency (%) |
| & | 2 | |
| , | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 16 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 131 | |
| Common | 20 | 13.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| S | 16 | |
| I | 15 | |
| E | 14 | |
| D | 11 | 8.4% |
| N | 10 | 7.6% |
| A | 10 | 7.6% |
| H | 8 | 6.1% |
| U | 7 | 5.3% |
| M | 6 | 4.6% |
| Y | 6 | 4.6% |
| Other values (11) | 28 |
Common
| Value | Count | Frequency (%) |
| 16 | ||
| & | 2 | 10.0% |
| - | 1 | 5.0% |
| , | 1 | 5.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 151 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 16 | ||
| S | 16 | |
| I | 15 | 9.9% |
| E | 14 | 9.3% |
| D | 11 | 7.3% |
| N | 10 | 6.6% |
| A | 10 | 6.6% |
| H | 8 | 5.3% |
| U | 7 | 4.6% |
| M | 6 | 4.0% |
| Other values (15) | 38 |
BULD_YR
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 11 |
|---|---|
| Distinct (%) | 22.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 571.12245 |
| Minimum | 0 |
|---|---|
| Maximum | 2015 |
| Zeros | 35 |
| Zeros (%) | 71.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1999 |
| 95-th percentile | 2010 |
| Maximum | 2015 |
| Range | 2015 |
| Interquartile range (IQR) | 1999 |
Descriptive statistics
| Standard deviation | 912.50499 |
|---|---|
| Coefficient of variation (CV) | 1.5977397 |
| Kurtosis | -1.0847112 |
| Mean | 571.12245 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.97980525 |
| Sum | 27985 |
| Variance | 832665.36 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 0 | 35 | |
| 2004 | 2 | 4.1% |
| 2009 | 2 | 4.1% |
| 2003 | 2 | 4.1% |
| 2010 | 2 | 4.1% |
| 1900 | 1 | 2.0% |
| 2015 | 1 | 2.0% |
| 1999 | 1 | 2.0% |
| 2011 | 1 | 2.0% |
| 2006 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 0 | 35 | |
| 1900 | 1 | 2.0% |
| 1999 | 1 | 2.0% |
| 2002 | 1 | 2.0% |
| 2003 | 2 | 4.1% |
| 2004 | 2 | 4.1% |
| 2006 | 1 | 2.0% |
| 2009 | 2 | 4.1% |
| 2010 | 2 | 4.1% |
| 2011 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 2015 | 1 | |
| 2011 | 1 | |
| 2010 | 2 | |
| 2009 | 2 | |
| 2006 | 1 | |
| 2004 | 2 | |
| 2003 | 2 | |
| 2002 | 1 | |
| 1999 | 1 | |
| 1900 | 1 |
DDWGHT
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 12 |
|---|---|
| Distinct (%) | 24.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10373.143 |
| Minimum | 0 |
|---|---|
| Maximum | 157714 |
| Zeros | 38 |
| Zeros (%) | 77.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 83149.6 |
| Maximum | 157714 |
| Range | 157714 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 29871.495 |
|---|---|
| Coefficient of variation (CV) | 2.8796957 |
| Kurtosis | 13.297382 |
| Mean | 10373.143 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.5281435 |
| Sum | 508284 |
| Variance | 8.9230621 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 0 | 38 | |
| 2999 | 1 | 2.0% |
| 83200 | 1 | 2.0% |
| 6000 | 1 | 2.0% |
| 2995 | 1 | 2.0% |
| 29121 | 1 | 2.0% |
| 4135 | 1 | 2.0% |
| 83166 | 1 | 2.0% |
| 83125 | 1 | 2.0% |
| 157714 | 1 | 2.0% |
| Other values (2) | 2 | 4.1% |
| Value | Count | Frequency (%) |
| 0 | 38 | |
| 2995 | 1 | 2.0% |
| 2999 | 1 | 2.0% |
| 4135 | 1 | 2.0% |
| 6000 | 1 | 2.0% |
| 26616 | 1 | 2.0% |
| 29121 | 1 | 2.0% |
| 29213 | 1 | 2.0% |
| 83125 | 1 | 2.0% |
| 83166 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 157714 | 1 | |
| 83200 | 1 | |
| 83166 | 1 | |
| 83125 | 1 | |
| 29213 | 1 | |
| 29121 | 1 | |
| 26616 | 1 | |
| 6000 | 1 | |
| 4135 | 1 | |
| 2999 | 1 |
DPTR_HMS
Date
| Distinct | 47 |
|---|---|
| Distinct (%) | 95.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 524.0 B |
| Minimum | 2021-01-01 00:00:00 |
|---|---|
| Maximum | 2021-01-04 14:06:38 |
Histogram with fixed size bins (bins=47)
ARVL_HMS
Date
| Distinct | 36 |
|---|---|
| Distinct (%) | 73.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 524.0 B |
| Minimum | 2021-01-19 08:50:25 |
|---|---|
| Maximum | 2021-10-13 23:59:05 |
Histogram with fixed size bins (bins=36)
DPTRP_LA
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 45 |
|---|---|
| Distinct (%) | 91.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 41.289219 |
| Minimum | -34.241699 |
|---|---|
| Maximum | 59.222 |
| Zeros | 4 |
| Zeros (%) | 8.2% |
| Negative | 2 |
| Negative (%) | 4.1% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | -34.241699 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 50.822899 |
| median | 51.2715 |
| Q3 | 51.889 |
| 95-th percentile | 52.424659 |
| Maximum | 59.222 |
| Range | 93.463699 |
| Interquartile range (IQR) | 1.066101 |
Descriptive statistics
| Standard deviation | 22.523361 |
|---|---|
| Coefficient of variation (CV) | 0.54550224 |
| Kurtosis | 3.242066 |
| Mean | 41.289219 |
| Median Absolute Deviation (MAD) | 0.607799 |
| Skewness | -2.0422437 |
| Sum | 2023.1717 |
| Variance | 507.3018 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=45)
| Value | Count | Frequency (%) |
| 0.0 | 4 | 8.2% |
| 51.253101 | 2 | 4.1% |
| 51.879299 | 1 | 2.0% |
| 51.892399 | 1 | 2.0% |
| -28.153 | 1 | 2.0% |
| 51.968201 | 1 | 2.0% |
| 52.4072 | 1 | 2.0% |
| 51.900902 | 1 | 2.0% |
| 51.889 | 1 | 2.0% |
| 51.262299 | 1 | 2.0% |
| Other values (35) | 35 |
| Value | Count | Frequency (%) |
| -34.241699 | 1 | 2.0% |
| -28.153 | 1 | 2.0% |
| 0.0 | 4 | |
| 6.33221 | 1 | 2.0% |
| 16.942301 | 1 | 2.0% |
| 17.624701 | 1 | 2.0% |
| 25.031099 | 1 | 2.0% |
| 50.755001 | 1 | 2.0% |
| 50.789001 | 1 | 2.0% |
| 50.822899 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 59.222 | 1 | |
| 53.428299 | 1 | |
| 52.427299 | 1 | |
| 52.4207 | 1 | |
| 52.418999 | 1 | |
| 52.4072 | 1 | |
| 51.968201 | 1 | |
| 51.9445 | 1 | |
| 51.932201 | 1 | |
| 51.930302 | 1 |
DPTRP_LO
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 46 |
|---|---|
| Distinct (%) | 93.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.4277404 |
| Minimum | -74.851303 |
|---|---|
| Maximum | 93.208702 |
| Zeros | 4 |
| Zeros (%) | 8.2% |
| Negative | 3 |
| Negative (%) | 6.1% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | -74.851303 |
|---|---|
| 5-th percentile | -11.690281 |
| Q1 | 4.015 |
| median | 4.33814 |
| Q3 | 4.80149 |
| 95-th percentile | 27.55088 |
| Maximum | 93.208702 |
| Range | 168.06 |
| Interquartile range (IQR) | 0.78649 |
Descriptive statistics
| Standard deviation | 21.654244 |
|---|---|
| Coefficient of variation (CV) | 4.8905858 |
| Kurtosis | 10.278955 |
| Mean | 4.4277404 |
| Median Absolute Deviation (MAD) | 0.46335 |
| Skewness | 0.21000464 |
| Sum | 216.95928 |
| Variance | 468.9063 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=46)
| Value | Count | Frequency (%) |
| 0.0 | 4 | 8.2% |
| 4.015 | 1 | 2.0% |
| 4.30835 | 1 | 2.0% |
| 4.36765 | 1 | 2.0% |
| 36.1964 | 1 | 2.0% |
| 4.03732 | 1 | 2.0% |
| 4.8495 | 1 | 2.0% |
| 4.35585 | 1 | 2.0% |
| 4.31721 | 1 | 2.0% |
| 4.26831 | 1 | 2.0% |
| Other values (36) | 36 |
| Value | Count | Frequency (%) |
| -74.851303 | 1 | 2.0% |
| -58.7603 | 1 | 2.0% |
| -19.483801 | 1 | 2.0% |
| 0.0 | 4 | |
| 3.19274 | 1 | 2.0% |
| 3.20276 | 1 | 2.0% |
| 3.71435 | 1 | 2.0% |
| 3.71448 | 1 | 2.0% |
| 3.80088 | 1 | 2.0% |
| 4.015 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 93.208702 | 1 | |
| 55.067402 | 1 | |
| 36.1964 | 1 | |
| 14.5826 | 1 | |
| 7.00216 | 1 | |
| 6.05548 | 1 | |
| 5.689 | 1 | |
| 5.67667 | 1 | |
| 5.52937 | 1 | |
| 5.48833 | 1 |
DTNT_LA
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 38 |
|---|---|
| Distinct (%) | 77.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 34.701761 |
| Minimum | -34.241699 |
|---|---|
| Maximum | 52.574402 |
| Zeros | 11 |
| Zeros (%) | 22.4% |
| Negative | 2 |
| Negative (%) | 4.1% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | -34.241699 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 51.1758 |
| Q3 | 51.470402 |
| 95-th percentile | 52.227578 |
| Maximum | 52.574402 |
| Range | 86.816101 |
| Interquartile range (IQR) | 51.470402 |
Descriptive statistics
| Standard deviation | 24.761785 |
|---|---|
| Coefficient of variation (CV) | 0.71355989 |
| Kurtosis | -0.29710229 |
| Mean | 34.701761 |
| Median Absolute Deviation (MAD) | 0.736801 |
| Skewness | -1.0764398 |
| Sum | 1700.3863 |
| Variance | 613.146 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=38)
| Value | Count | Frequency (%) |
| 0.0 | 11 | 22.4% |
| 51.252998 | 2 | 4.1% |
| 51.815601 | 1 | 2.0% |
| 47.557899 | 1 | 2.0% |
| 22.785801 | 1 | 2.0% |
| 51.4464 | 1 | 2.0% |
| 50.983898 | 1 | 2.0% |
| 51.8993 | 1 | 2.0% |
| 52.418701 | 1 | 2.0% |
| 51.945999 | 1 | 2.0% |
| Other values (28) | 28 |
| Value | Count | Frequency (%) |
| -34.241699 | 1 | 2.0% |
| -12.9067 | 1 | 2.0% |
| 0.0 | 11 | |
| 22.785801 | 1 | 2.0% |
| 24.148701 | 1 | 2.0% |
| 24.4193 | 1 | 2.0% |
| 35.919998 | 1 | 2.0% |
| 47.557899 | 1 | 2.0% |
| 48.567501 | 1 | 2.0% |
| 49.463402 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 52.574402 | 1 | |
| 52.418701 | 1 | |
| 52.415298 | 1 | |
| 51.945999 | 1 | |
| 51.912601 | 1 | |
| 51.907902 | 1 | |
| 51.8993 | 1 | |
| 51.888802 | 1 | |
| 51.880901 | 1 | |
| 51.879101 | 1 |
DTNT_LO
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 39 |
|---|---|
| Distinct (%) | 79.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.6770281 |
| Minimum | -88.173401 |
|---|---|
| Maximum | 70.0448 |
| Zeros | 11 |
| Zeros (%) | 22.4% |
| Negative | 4 |
| Negative (%) | 8.2% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | -88.173401 |
|---|---|
| 5-th percentile | -27.056085 |
| Q1 | 0 |
| median | 4.30976 |
| Q3 | 4.66643 |
| 95-th percentile | 8.18626 |
| Maximum | 70.0448 |
| Range | 158.2182 |
| Interquartile range (IQR) | 4.66643 |
Descriptive statistics
| Standard deviation | 20.993628 |
|---|---|
| Coefficient of variation (CV) | 12.518352 |
| Kurtosis | 10.150531 |
| Mean | 1.6770281 |
| Median Absolute Deviation (MAD) | 0.59073 |
| Skewness | -1.3117773 |
| Sum | 82.174379 |
| Variance | 440.73242 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=39)
| Value | Count | Frequency (%) |
| 0.0 | 11 | 22.4% |
| 5.68837 | 1 | 2.0% |
| 7.63842 | 1 | 2.0% |
| 70.0448 | 1 | 2.0% |
| 3.71903 | 1 | 2.0% |
| 4.38594 | 1 | 2.0% |
| 4.22325 | 1 | 2.0% |
| 4.77472 | 1 | 2.0% |
| 4.09004 | 1 | 2.0% |
| -58.760399 | 1 | 2.0% |
| Other values (29) | 29 |
| Value | Count | Frequency (%) |
| -88.173401 | 1 | 2.0% |
| -58.760399 | 1 | 2.0% |
| -38.606701 | 1 | 2.0% |
| -9.73016 | 1 | 2.0% |
| 0.0 | 11 | |
| 3.71307 | 1 | 2.0% |
| 3.71903 | 1 | 2.0% |
| 3.79491 | 1 | 2.0% |
| 3.80365 | 1 | 2.0% |
| 4.09004 | 1 | 2.0% |
| Value | Count | Frequency (%) |
| 70.0448 | 1 | |
| 52.7383 | 1 | |
| 8.44116 | 1 | |
| 7.80391 | 1 | |
| 7.63842 | 1 | |
| 6.98384 | 1 | |
| 5.86911 | 1 | |
| 5.68837 | 1 | |
| 4.78674 | 1 | |
| 4.77472 | 1 |
NVGTN_DIST
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 49 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28336563 |
| Minimum | 821534 |
|---|---|
| Maximum | 2.29024 × 108 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | 821534 |
|---|---|
| 5-th percentile | 4643248 |
| Q1 | 11353400 |
| median | 16048200 |
| Q3 | 23797100 |
| 95-th percentile | 1.0110952 × 108 |
| Maximum | 2.29024 × 108 |
| Range | 2.2820247 × 108 |
| Interquartile range (IQR) | 12443700 |
Descriptive statistics
| Standard deviation | 39665306 |
|---|---|
| Coefficient of variation (CV) | 1.3997924 |
| Kurtosis | 13.906736 |
| Mean | 28336563 |
| Median Absolute Deviation (MAD) | 5507500 |
| Skewness | 3.4551675 |
| Sum | 1.3884916 × 109 |
| Variance | 1.5733365 × 1015 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=49)
| Value | Count | Frequency (%) |
| 17384200 | 1 | 2.0% |
| 32165900 | 1 | 2.0% |
| 29951800 | 1 | 2.0% |
| 18991400 | 1 | 2.0% |
| 84393800 | 1 | 2.0% |
| 10540700 | 1 | 2.0% |
| 16048200 | 1 | 2.0% |
| 8983350 | 1 | 2.0% |
| 15310900 | 1 | 2.0% |
| 18637000 | 1 | 2.0% |
| Other values (39) | 39 |
| Value | Count | Frequency (%) |
| 821534 | 1 | |
| 3034110 | 1 | |
| 3785840 | 1 | |
| 5929360 | 1 | |
| 5991460 | 1 | |
| 6360920 | 1 | |
| 6502710 | 1 | |
| 8983350 | 1 | |
| 10012500 | 1 | |
| 10540700 | 1 |
| Value | Count | Frequency (%) |
| 229024000 | 1 | |
| 127074000 | 1 | |
| 108751000 | 1 | |
| 89647300 | 1 | |
| 84393800 | 1 | |
| 79368400 | 1 | |
| 34644000 | 1 | |
| 32165900 | 1 | |
| 29951800 | 1 | |
| 28053400 | 1 |
RN
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 49 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26 |
| Minimum | 2 |
|---|---|
| Maximum | 50 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 573.0 B |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 4.4 |
| Q1 | 14 |
| median | 26 |
| Q3 | 38 |
| 95-th percentile | 47.6 |
| Maximum | 50 |
| Range | 48 |
| Interquartile range (IQR) | 24 |
Descriptive statistics
| Standard deviation | 14.28869 |
|---|---|
| Coefficient of variation (CV) | 0.54956501 |
| Kurtosis | -1.2 |
| Mean | 26 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 0 |
| Sum | 1274 |
| Variance | 204.16667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=49)
| Value | Count | Frequency (%) |
| 2 | 1 | 2.0% |
| 39 | 1 | 2.0% |
| 29 | 1 | 2.0% |
| 30 | 1 | 2.0% |
| 31 | 1 | 2.0% |
| 32 | 1 | 2.0% |
| 33 | 1 | 2.0% |
| 34 | 1 | 2.0% |
| 35 | 1 | 2.0% |
| 36 | 1 | 2.0% |
| Other values (39) | 39 |
| Value | Count | Frequency (%) |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 |
| Value | Count | Frequency (%) |
| 50 | 1 | |
| 49 | 1 | |
| 48 | 1 | |
| 47 | 1 | |
| 46 | 1 | |
| 45 | 1 | |
| 44 | 1 | |
| 43 | 1 | |
| 42 | 1 | |
| 41 | 1 |
| MMSI | IMO_IDNTF_NO | SHIP_NM | SHIP_KIND | SHIP_WDTH | SHIP_LNTH | SHIP_HGHT | DRAFT | SHPYRD_NM | BULD_YR | DDWGHT | DPTR_HMS | ARVL_HMS | DPTRP_LA | DPTRP_LO | DTNT_LA | DTNT_LO | NVGTN_DIST | RN | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MMSI | 1.000 | 0.729 | 1.000 | 0.793 | 0.568 | 0.540 | 0.761 | 0.879 | 0.759 | 0.454 | 0.867 | 1.000 | 0.851 | 0.689 | 0.642 | 0.733 | 0.716 | 0.894 | 0.864 |
| IMO_IDNTF_NO | 0.729 | 1.000 | 1.000 | 1.000 | 1.000 | 0.996 | 0.785 | 0.966 | NaN | 0.834 | 0.992 | 0.000 | 1.000 | 0.963 | 0.758 | 0.963 | 0.957 | 0.989 | 0.454 |
| SHIP_NM | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| SHIP_KIND | 0.793 | 1.000 | 1.000 | 1.000 | 0.749 | 0.819 | 0.927 | 1.000 | 0.713 | 0.706 | 1.000 | 0.000 | 0.938 | 0.837 | 0.855 | 0.804 | 0.856 | 0.902 | 0.363 |
| SHIP_WDTH | 0.568 | 1.000 | 1.000 | 0.749 | 1.000 | 0.964 | 0.827 | 0.952 | 0.666 | 0.841 | 0.973 | 0.895 | 0.920 | 0.648 | 0.676 | 0.669 | 0.826 | 0.827 | 0.128 |
| SHIP_LNTH | 0.540 | 0.996 | 1.000 | 0.819 | 0.964 | 1.000 | 0.907 | 0.952 | 0.771 | 0.847 | 0.973 | 0.409 | 0.963 | 0.586 | 0.621 | 0.766 | 0.890 | 0.724 | 0.000 |
| SHIP_HGHT | 0.761 | 0.785 | 1.000 | 0.927 | 0.827 | 0.907 | 1.000 | 0.922 | 0.803 | 0.498 | 1.000 | 0.000 | 1.000 | 0.756 | 0.858 | 0.827 | 0.948 | 0.870 | 0.000 |
| DRAFT | 0.879 | 0.966 | 1.000 | 1.000 | 0.952 | 0.952 | 0.922 | 1.000 | 0.783 | 0.762 | 0.998 | 0.329 | 1.000 | 0.828 | 0.891 | 0.867 | 0.997 | 0.926 | 0.327 |
| SHPYRD_NM | 0.759 | NaN | 1.000 | 0.713 | 0.666 | 0.771 | 0.803 | 0.783 | 1.000 | NaN | 0.914 | 1.000 | 1.000 | 0.478 | 1.000 | 0.000 | 0.806 | 0.269 | 0.000 |
| BULD_YR | 0.454 | 0.834 | 1.000 | 0.706 | 0.841 | 0.847 | 0.498 | 0.762 | NaN | 1.000 | 0.822 | 0.511 | 0.846 | 0.730 | 0.477 | 0.725 | 0.706 | 0.765 | 0.000 |
| DDWGHT | 0.867 | 0.992 | 1.000 | 1.000 | 0.973 | 0.973 | 1.000 | 0.998 | 0.914 | 0.822 | 1.000 | 0.321 | 1.000 | 0.845 | 0.902 | 0.827 | 0.997 | 0.973 | 0.291 |
| DPTR_HMS | 1.000 | 0.000 | 1.000 | 0.000 | 0.895 | 0.409 | 0.000 | 0.329 | 1.000 | 0.511 | 0.321 | 1.000 | 0.971 | 0.689 | 0.000 | 0.765 | 0.000 | 0.695 | 1.000 |
| ARVL_HMS | 0.851 | 1.000 | 1.000 | 0.938 | 0.920 | 0.963 | 1.000 | 1.000 | 1.000 | 0.846 | 1.000 | 0.971 | 1.000 | 0.992 | 1.000 | 0.993 | 0.982 | 0.978 | 0.583 |
| DPTRP_LA | 0.689 | 0.963 | 1.000 | 0.837 | 0.648 | 0.586 | 0.756 | 0.828 | 0.478 | 0.730 | 0.845 | 0.689 | 0.992 | 1.000 | 0.908 | 0.928 | 0.916 | 0.957 | 0.403 |
| DPTRP_LO | 0.642 | 0.758 | 1.000 | 0.855 | 0.676 | 0.621 | 0.858 | 0.891 | 1.000 | 0.477 | 0.902 | 0.000 | 1.000 | 0.908 | 1.000 | 0.826 | 0.937 | 0.918 | 0.000 |
| DTNT_LA | 0.733 | 0.963 | 1.000 | 0.804 | 0.669 | 0.766 | 0.827 | 0.867 | 0.000 | 0.725 | 0.827 | 0.765 | 0.993 | 0.928 | 0.826 | 1.000 | 0.951 | 0.692 | 0.206 |
| DTNT_LO | 0.716 | 0.957 | 1.000 | 0.856 | 0.826 | 0.890 | 0.948 | 0.997 | 0.806 | 0.706 | 0.997 | 0.000 | 0.982 | 0.916 | 0.937 | 0.951 | 1.000 | 0.874 | 0.174 |
| NVGTN_DIST | 0.894 | 0.989 | 1.000 | 0.902 | 0.827 | 0.724 | 0.870 | 0.926 | 0.269 | 0.765 | 0.973 | 0.695 | 0.978 | 0.957 | 0.918 | 0.692 | 0.874 | 1.000 | 0.000 |
| RN | 0.864 | 0.454 | 1.000 | 0.363 | 0.128 | 0.000 | 0.000 | 0.327 | 0.000 | 0.000 | 0.291 | 1.000 | 0.583 | 0.403 | 0.000 | 0.206 | 0.174 | 0.000 | 1.000 |
| SHIP_HGHT | SHIP_KIND | |
|---|---|---|
| SHIP_HGHT | 1.000 | 0.766 |
| SHIP_KIND | 0.766 | 1.000 |
| MMSI | IMO_IDNTF_NO | SHIP_WDTH | SHIP_LNTH | DRAFT | BULD_YR | DDWGHT | DPTRP_LA | DPTRP_LO | DTNT_LA | DTNT_LO | NVGTN_DIST | RN | SHIP_KIND | SHIP_HGHT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MMSI | 1.000 | 0.279 | 0.257 | 0.268 | 0.460 | 0.119 | 0.219 | -0.066 | -0.088 | -0.085 | -0.350 | 0.228 | 1.000 | 0.530 | 0.630 |
| IMO_IDNTF_NO | 0.279 | 1.000 | 0.481 | 0.487 | 0.837 | 0.673 | 0.755 | -0.348 | -0.021 | -0.351 | -0.205 | 0.311 | 0.279 | 0.897 | 0.887 |
| SHIP_WDTH | 0.257 | 0.481 | 1.000 | 0.885 | 0.552 | 0.389 | 0.544 | 0.000 | -0.011 | -0.198 | -0.275 | 0.380 | 0.257 | 0.460 | 0.674 |
| SHIP_LNTH | 0.268 | 0.487 | 0.885 | 1.000 | 0.553 | 0.327 | 0.486 | -0.029 | 0.045 | -0.278 | -0.270 | 0.433 | 0.268 | 0.550 | 0.812 |
| DRAFT | 0.460 | 0.837 | 0.552 | 0.553 | 1.000 | 0.579 | 0.746 | -0.327 | -0.051 | -0.398 | -0.352 | 0.369 | 0.460 | 0.917 | 0.924 |
| BULD_YR | 0.119 | 0.673 | 0.389 | 0.327 | 0.579 | 1.000 | 0.877 | -0.061 | 0.175 | -0.369 | -0.046 | 0.329 | 0.119 | 0.617 | 0.583 |
| DDWGHT | 0.219 | 0.755 | 0.544 | 0.486 | 0.746 | 0.877 | 1.000 | -0.204 | 0.145 | -0.374 | -0.121 | 0.397 | 0.219 | 0.917 | 0.989 |
| DPTRP_LA | -0.066 | -0.348 | 0.000 | -0.029 | -0.327 | -0.061 | -0.204 | 1.000 | 0.230 | 0.126 | 0.054 | -0.051 | -0.066 | 0.590 | 0.622 |
| DPTRP_LO | -0.088 | -0.021 | -0.011 | 0.045 | -0.051 | 0.175 | 0.145 | 0.230 | 1.000 | -0.251 | 0.114 | 0.230 | -0.088 | 0.617 | 0.754 |
| DTNT_LA | -0.085 | -0.351 | -0.198 | -0.278 | -0.398 | -0.369 | -0.374 | 0.126 | -0.251 | 1.000 | 0.510 | -0.265 | -0.085 | 0.543 | 0.717 |
| DTNT_LO | -0.350 | -0.205 | -0.275 | -0.270 | -0.352 | -0.046 | -0.121 | 0.054 | 0.114 | 0.510 | 1.000 | -0.005 | -0.350 | 0.609 | 0.890 |
| NVGTN_DIST | 0.228 | 0.311 | 0.380 | 0.433 | 0.369 | 0.329 | 0.397 | -0.051 | 0.230 | -0.265 | -0.005 | 1.000 | 0.228 | 0.675 | 0.741 |
| RN | 1.000 | 0.279 | 0.257 | 0.268 | 0.460 | 0.119 | 0.219 | -0.066 | -0.088 | -0.085 | -0.350 | 0.228 | 1.000 | 0.159 | 0.000 |
| SHIP_KIND | 0.530 | 0.897 | 0.460 | 0.550 | 0.917 | 0.617 | 0.917 | 0.590 | 0.617 | 0.543 | 0.609 | 0.675 | 0.159 | 1.000 | 0.766 |
| SHIP_HGHT | 0.630 | 0.887 | 0.674 | 0.812 | 0.924 | 0.583 | 0.989 | 0.622 | 0.754 | 0.717 | 0.890 | 0.741 | 0.000 | 0.766 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| MMSI | IMO_IDNTF_NO | SHIP_NM | SHIP_KIND | SHIP_WDTH | SHIP_LNTH | SHIP_HGHT | SHIP_OWNER_NM | DRAFT | SHPYRD_NM | BULD_YR | DDWGHT | DPTR_HMS | ARVL_HMS | DPTRP_LA | DPTRP_LO | DTNT_LA | DTNT_LO | NVGTN_DIST | RN | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 205522990 | 0 | THALASSA | Inland Motor Tanker liquid cargo type C | 11.4 | 110.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 02-Jan-2021 06:19:15 | 13-Oct-2021 17:25:00 | 50.789001 | 5.689 | 50.792999 | 5.68837 | 17384200 | 2 |
| 1 | 205523290 | 0 | HYDRUS | Inland Motor Tanker | 13.0 | 110.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:02:16 | 13-Oct-2021 23:58:04 | 0.0 | 0.0 | 0.0 | 0.0 | 22149700 | 3 |
| 2 | 205523890 | 0 | TRAFUCO 7 | Inland Motor Tanker | 8.2 | 60.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:18:15 | 13-Oct-2021 23:59:00 | 0.0 | 0.0 | 51.2556 | 4.37782 | 11353400 | 4 |
| 3 | 205524290 | 0 | CAYMAN | Inland Motor Tanker liquid cargo type C | 11.4 | 109.9 | 0.0 | <NA> | 0.0 | <NA> | 2004 | 2999 | 01-Jan-2021 00:00:09 | 13-Oct-2021 23:55:00 | 51.9445 | 4.17335 | 52.574402 | 5.86911 | 23797100 | 5 |
| 4 | 205524390 | 0 | SOMTRANS XXVIII | Inland Tanker | 15.0 | 135.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:08:08 | 13-Oct-2021 23:59:00 | 52.427299 | 4.74363 | 0.0 | 0.0 | 19937400 | 6 |
| 5 | 205525390 | 0 | ANTARES | Inland Motor Tanker liquid cargo type C | 15.0 | 135.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:05:38 | 13-Oct-2021 23:59:05 | 51.4487 | 3.71448 | 51.2486 | 4.37625 | 11463500 | 7 |
| 6 | 205526000 | 9361445 | EXPRESS | LNG Tanker | 43.4 | 280.0 | 26.0 | <NA> | 0.0 | DSME | 2009 | 83200 | 01-Jan-2021 00:02:21 | 13-Oct-2021 23:08:03 | 25.031099 | 55.067402 | 24.148701 | 52.7383 | 229024000 | 8 |
| 7 | 205526290 | 0 | SOMTRANS XXIX | Inland Motor Tanker liquid cargo type C | 15.0 | 135.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:02:43 | 13-Oct-2021 23:55:03 | 51.932201 | 4.15689 | 51.888802 | 4.37034 | 14956500 | 9 |
| 8 | 205526390 | 0 | STRAUSS | Inland Motor Tanker liquid cargo type C | 20.3 | 109.9 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:05:03 | 13-Oct-2021 23:58:05 | 51.930302 | 4.20084 | 51.907902 | 4.41636 | 14858000 | 10 |
| 9 | 205526890 | 9367918 | <NA> | <NA> | 0.0 | 0.0 | 0.0 | <NA> | 0.0 | HYUNDAI HEAVY INDUSTRIES | 1900 | 0 | 01-Jan-2021 00:00:40 | 26-Mar-2021 10:47:37 | 51.342999 | 3.19274 | 51.819 | 4.69872 | 5929360 | 11 |
| MMSI | IMO_IDNTF_NO | SHIP_NM | SHIP_KIND | SHIP_WDTH | SHIP_LNTH | SHIP_HGHT | SHIP_OWNER_NM | DRAFT | SHPYRD_NM | BULD_YR | DDWGHT | DPTR_HMS | ARVL_HMS | DPTRP_LA | DPTRP_LO | DTNT_LA | DTNT_LO | NVGTN_DIST | RN | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 39 | 205552090 | 0 | BITUMINA 2 | Inland Motor Tanker liquid cargo type C | 11.5 | 110.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:02:49 | 13-Oct-2021 23:55:00 | 51.298599 | 4.29581 | 49.463402 | 8.44116 | 22410500 | 41 |
| 40 | 205553000 | 9444649 | EXEMPLAR | Floating Storage or Production | 43.4 | 280.0 | 26.0 | <NA> | 9.0 | DSME | 2010 | 83125 | 01-Jan-2021 01:08:19 | 13-Oct-2021 23:52:02 | 6.33221 | 93.208702 | -12.9067 | -38.606701 | 79368400 | 42 |
| 41 | 205553090 | 0 | TASMANZEE | Inland Motor Tanker liquid cargo type C | 17.0 | 135.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:02:54 | 13-Oct-2021 23:55:03 | 51.448799 | 3.71435 | 51.470402 | 3.71307 | 25473700 | 43 |
| 42 | 205554090 | 0 | BRABO | Inland Motor Tanker | 5.1 | 47.6 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:00:00 | 13-Oct-2021 23:57:05 | 51.804901 | 4.63328 | 51.252998 | 4.38281 | 12979100 | 44 |
| 43 | 205554990 | 0 | LIBURNA | Inland Motor Tanker liquid cargo type C | 9.5 | 85.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:00:23 | 13-Oct-2021 23:55:00 | 51.209202 | 3.80088 | 51.880901 | 4.26567 | 10012500 | 45 |
| 44 | 205555790 | 0 | EMMA 2 | Inland Motor Tanker | 11.4 | 110.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:03:03 | 13-Oct-2021 23:40:04 | 50.822899 | 7.00216 | 51.879101 | 4.30989 | 28053400 | 46 |
| 45 | 205555890 | 0 | BRILJANT | Inland Motor Tanker liquid cargo type C | 23.0 | 135.0 | 0.0 | <NA> | 0.0 | <NA> | 0 | 0 | 01-Jan-2021 00:01:42 | 13-Oct-2021 23:58:05 | 51.5215 | 4.01606 | 51.298901 | 4.32621 | 12539700 | 47 |
| 46 | 205559000 | 9416733 | FRATERNITY | Crude Oil Tanker | 48.0 | 264.0 | 23.2 | EURONAV | 16.7 | SAMSUNG SHIPBUILDING & HEAVY INDUSTRIES - GEOJE, KR | 2009 | 157714 | 01-Jan-2021 00:00:05 | 13-Oct-2021 23:35:05 | 16.942301 | -19.483801 | 24.4193 | -88.173401 | 108751000 | 48 |
| 47 | 205609000 | 9292113 | SOMBEKE | LPG Tanker | 29.2 | 172.0 | 18.2 | <NA> | 11.5 | DSME | 2006 | 29213 | 01-Jan-2021 00:03:20 | 13-Oct-2021 23:56:02 | 17.624701 | -74.851303 | 0.0 | 0.0 | 127074000 | 49 |
| 48 | 205612000 | 9237747 | BASTOGNE | LPG Tanker | 28.0 | 165.0 | 17.8 | <NA> | 10.1 | HYUNDAI HEAVY INDUSTRIES | 2002 | 26616 | 01-Jan-2021 00:00:11 | 13-Oct-2021 23:59:02 | 59.222 | 5.52937 | 35.919998 | -9.73016 | 89647300 | 50 |