Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 101 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 10.6 KiB |
| Average record size in memory | 107.3 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 4 |
Dataset
| Description | 과실전문생산단지에 대한 상세 및 지원 정보 |
|---|---|
| Author | 농림축산식품부 |
| URL | https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220215000000001918 |
PRVYYDO_CYFD_AM has constant value "0" | Constant |
DELVRY_AM is highly correlated with BUDGET_AM and 1 other fields | High correlation |
BUDGET_AM is highly correlated with DELVRY_AM and 1 other fields | High correlation |
EXCUT_DTLS is highly correlated with DELVRY_AM and 1 other fields | High correlation |
DISUSE_AM is highly correlated with PRVYYDO_CYFD_AM | High correlation |
SIGNGU_NM is highly correlated with PRVYYDO_CYFD_AM | High correlation |
PRVYYDO_CYFD_AM is highly correlated with DISUSE_AM and 2 other fields | High correlation |
CTRD_NM is highly correlated with PRVYYDO_CYFD_AM | High correlation |
DELVRY_AM has 20 (19.8%) zeros | Zeros |
BUDGET_AM has 20 (19.8%) zeros | Zeros |
EXCUT_DTLS has 20 (19.8%) zeros | Zeros |
CYFD_AM has 96 (95.0%) zeros | Zeros |
RL_EXCUT_RT has 20 (19.8%) zeros | Zeros |
Reproduction
| Analysis started | 2022-08-12 14:53:21.127917 |
|---|---|
| Analysis finished | 2022-08-12 14:53:30.096093 |
| Duration | 8.97 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
YEAR
Real number (ℝ≥0)
| Distinct | 12 |
|---|---|
| Distinct (%) | 11.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2011.128713 |
| Minimum | 2005 |
|---|---|
| Maximum | 2016 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 2005 |
|---|---|
| 5-th percentile | 2006 |
| Q1 | 2009 |
| median | 2011 |
| Q3 | 2014 |
| 95-th percentile | 2015 |
| Maximum | 2016 |
| Range | 11 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.167533319 |
|---|---|
| Coefficient of variation (CV) | 0.001575002783 |
| Kurtosis | -1.038487119 |
| Mean | 2011.128713 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.2993890921 |
| Sum | 203124 |
| Variance | 10.03326733 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 2015 | 14 | |
| 2014 | 13 | |
| 2010 | 11 | |
| 2011 | 11 | |
| 2013 | 10 | |
| 2006 | 7 | |
| 2008 | 7 | |
| 2009 | 7 | |
| 2012 | 7 | |
| 2007 | 6 | |
| Other values (2) | 8 |
| Value | Count | Frequency (%) |
| 2005 | 4 | 4.0% |
| 2006 | 7 | |
| 2007 | 6 | |
| 2008 | 7 | |
| 2009 | 7 | |
| 2010 | 11 | |
| 2011 | 11 | |
| 2012 | 7 | |
| 2013 | 10 | |
| 2014 | 13 |
| Value | Count | Frequency (%) |
| 2016 | 4 | 4.0% |
| 2015 | 14 | |
| 2014 | 13 | |
| 2013 | 10 | |
| 2012 | 7 | |
| 2011 | 11 | |
| 2010 | 11 | |
| 2009 | 7 | |
| 2008 | 7 | |
| 2007 | 6 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 5.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 경상북도 | |
|---|---|
| 충청북도 | |
| 전라북도 | |
| 제주특별자치도 | |
| 경상남도 |
Length
| Max length | 7 |
|---|---|
| Median length | 4 |
| Mean length | 4.297029703 |
| Min length | 4 |
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 1.0% |
Sample
| 1st row | 경상남도 |
|---|---|
| 2nd row | 전라북도 |
| 3rd row | 경상북도 |
| 4th row | 경상북도 |
| 5th row | 경상북도 |
Common Values
| Value | Count | Frequency (%) |
| 경상북도 | 43 | |
| 충청북도 | 22 | |
| 전라북도 | 19 | |
| 제주특별자치도 | 10 | 9.9% |
| 경상남도 | 6 | 5.9% |
| 충청남도 | 1 | 1.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 경상북도 | 43 | |
| 충청북도 | 22 | |
| 전라북도 | 19 | |
| 제주특별자치도 | 10 | 9.9% |
| 경상남도 | 6 | 5.9% |
| 충청남도 | 1 | 1.0% |
CTRD_CODE
Real number (ℝ≥0)
| Distinct | 6 |
|---|---|
| Distinct (%) | 5.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6460792.079 |
| Minimum | 6430000 |
|---|---|
| Maximum | 6500000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 6430000 |
|---|---|
| 5-th percentile | 6430000 |
| Q1 | 6450000 |
| median | 6470000 |
| Q3 | 6470000 |
| 95-th percentile | 6500000 |
| Maximum | 6500000 |
| Range | 70000 |
| Interquartile range (IQR) | 20000 |
Descriptive statistics
| Standard deviation | 21151.0363 |
|---|---|
| Coefficient of variation (CV) | 0.003273752822 |
| Kurtosis | -0.7056912064 |
| Mean | 6460792.079 |
| Median Absolute Deviation (MAD) | 20000 |
| Skewness | 0.003929897528 |
| Sum | 652540000 |
| Variance | 447366336.6 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 6470000 | 43 | |
| 6430000 | 22 | |
| 6450000 | 19 | |
| 6500000 | 10 | 9.9% |
| 6480000 | 6 | 5.9% |
| 6440000 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 6430000 | 22 | |
| 6440000 | 1 | 1.0% |
| 6450000 | 19 | |
| 6470000 | 43 | |
| 6480000 | 6 | 5.9% |
| 6500000 | 10 | 9.9% |
| Value | Count | Frequency (%) |
| 6500000 | 10 | 9.9% |
| 6480000 | 6 | 5.9% |
| 6470000 | 43 | |
| 6450000 | 19 | |
| 6440000 | 1 | 1.0% |
| 6430000 | 22 |
| Distinct | 25 |
|---|---|
| Distinct (%) | 24.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 예천군 | |
|---|---|
| 상주시 | |
| 서귀포시 | |
| 음성군 | |
| 영주시 | |
| Other values (20) |
Length
| Max length | 4 |
|---|---|
| Median length | 3 |
| Mean length | 3.079207921 |
| Min length | 3 |
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 3.0% |
Sample
| 1st row | 김해시 |
|---|---|
| 2nd row | 장수군 |
| 3rd row | 김천시 |
| 4th row | 영주시 |
| 5th row | 영양군 |
Common Values
| Value | Count | Frequency (%) |
| 예천군 | 10 | 9.9% |
| 상주시 | 8 | 7.9% |
| 서귀포시 | 8 | 7.9% |
| 음성군 | 7 | 6.9% |
| 영주시 | 7 | 6.9% |
| 제천시 | 7 | 6.9% |
| 장수군 | 7 | 6.9% |
| 남원시 | 6 | 5.9% |
| 김천시 | 5 | 5.0% |
| 봉화군 | 4 | 4.0% |
| Other values (15) | 32 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 예천군 | 10 | 9.9% |
| 상주시 | 8 | 7.9% |
| 서귀포시 | 8 | 7.9% |
| 음성군 | 7 | 6.9% |
| 영주시 | 7 | 6.9% |
| 제천시 | 7 | 6.9% |
| 장수군 | 7 | 6.9% |
| 남원시 | 6 | 5.9% |
| 김천시 | 5 | 5.0% |
| 봉화군 | 4 | 4.0% |
| Other values (15) | 32 |
SIGNGU_CODE
Real number (ℝ≥0)
| Distinct | 25 |
|---|---|
| Distinct (%) | 24.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5076930.693 |
| Minimum | 4390000 |
|---|---|
| Maximum | 6520000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 4390000 |
|---|---|
| 5-th percentile | 4400000 |
| Q1 | 4700000 |
| median | 5090000 |
| Q3 | 5230000 |
| 95-th percentile | 6520000 |
| Maximum | 6520000 |
| Range | 2130000 |
| Interquartile range (IQR) | 530000 |
Descriptive statistics
| Standard deviation | 578594.4047 |
|---|---|
| Coefficient of variation (CV) | 0.1139653936 |
| Kurtosis | 1.407840874 |
| Mean | 5076930.693 |
| Median Absolute Deviation (MAD) | 310000 |
| Skewness | 1.270225242 |
| Sum | 512770000 |
| Variance | 3.347714851 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 5230000 | 10 | 9.9% |
| 6520000 | 8 | 7.9% |
| 5110000 | 8 | 7.9% |
| 4470000 | 7 | 6.9% |
| 5090000 | 7 | 6.9% |
| 4400000 | 7 | 6.9% |
| 4750000 | 7 | 6.9% |
| 4700000 | 6 | 5.9% |
| 5060000 | 5 | 5.0% |
| 5240000 | 4 | 4.0% |
| Other values (15) | 32 |
| Value | Count | Frequency (%) |
| 4390000 | 3 | |
| 4400000 | 7 | |
| 4420000 | 1 | 1.0% |
| 4440000 | 2 | 2.0% |
| 4470000 | 7 | |
| 4490000 | 1 | 1.0% |
| 4700000 | 6 | |
| 4710000 | 2 | 2.0% |
| 4740000 | 2 | 2.0% |
| 4750000 | 7 |
| Value | Count | Frequency (%) |
| 6520000 | 8 | |
| 6510000 | 2 | 2.0% |
| 5710000 | 2 | 2.0% |
| 5360000 | 4 | 4.0% |
| 5350000 | 2 | 2.0% |
| 5240000 | 4 | 4.0% |
| 5230000 | 10 | |
| 5170000 | 2 | 2.0% |
| 5150000 | 1 | 1.0% |
| 5110000 | 8 |
| Distinct | 80 |
|---|---|
| Distinct (%) | 79.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1010551.564 |
| Minimum | 0 |
|---|---|
| Maximum | 5143700 |
| Zeros | 20 |
| Zeros (%) | 19.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 313000 |
| median | 762300 |
| Q3 | 1320000 |
| 95-th percentile | 2978750 |
| Maximum | 5143700 |
| Range | 5143700 |
| Interquartile range (IQR) | 1007000 |
Descriptive statistics
| Standard deviation | 993678.3044 |
|---|---|
| Coefficient of variation (CV) | 0.9833029204 |
| Kurtosis | 3.940471033 |
| Mean | 1010551.564 |
| Median Absolute Deviation (MAD) | 518550 |
| Skewness | 1.763266221 |
| Sum | 102065708 |
| Variance | 9.873965727 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 20 | 19.8% |
| 1083750 | 2 | 2.0% |
| 940136 | 2 | 2.0% |
| 2978750 | 1 | 1.0% |
| 4006300 | 1 | 1.0% |
| 611250 | 1 | 1.0% |
| 738750 | 1 | 1.0% |
| 1108347 | 1 | 1.0% |
| 993631 | 1 | 1.0% |
| 483999 | 1 | 1.0% |
| Other values (70) | 70 |
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 205801 | 1 | 1.0% |
| 243750 | 1 | 1.0% |
| 282500 | 1 | 1.0% |
| 287000 | 1 | 1.0% |
| 292500 | 1 | 1.0% |
| 313000 | 1 | 1.0% |
| 341250 | 1 | 1.0% |
| 391000 | 1 | 1.0% |
| 457000 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 5143700 | 1 | |
| 4397500 | 1 | |
| 4006300 | 1 | |
| 3497000 | 1 | |
| 3482500 | 1 | |
| 2978750 | 1 | |
| 2743500 | 1 | |
| 2481250 | 1 | |
| 2371250 | 1 | |
| 2364300 | 1 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 101 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 101 |
| Distinct | 80 |
|---|---|
| Distinct (%) | 79.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1010551.564 |
| Minimum | 0 |
|---|---|
| Maximum | 5143700 |
| Zeros | 20 |
| Zeros (%) | 19.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 313000 |
| median | 762300 |
| Q3 | 1320000 |
| 95-th percentile | 2978750 |
| Maximum | 5143700 |
| Range | 5143700 |
| Interquartile range (IQR) | 1007000 |
Descriptive statistics
| Standard deviation | 993678.3044 |
|---|---|
| Coefficient of variation (CV) | 0.9833029204 |
| Kurtosis | 3.940471033 |
| Mean | 1010551.564 |
| Median Absolute Deviation (MAD) | 518550 |
| Skewness | 1.763266221 |
| Sum | 102065708 |
| Variance | 9.873965727 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 20 | 19.8% |
| 1083750 | 2 | 2.0% |
| 940136 | 2 | 2.0% |
| 2978750 | 1 | 1.0% |
| 4006300 | 1 | 1.0% |
| 611250 | 1 | 1.0% |
| 738750 | 1 | 1.0% |
| 1108347 | 1 | 1.0% |
| 993631 | 1 | 1.0% |
| 483999 | 1 | 1.0% |
| Other values (70) | 70 |
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 205801 | 1 | 1.0% |
| 243750 | 1 | 1.0% |
| 282500 | 1 | 1.0% |
| 287000 | 1 | 1.0% |
| 292500 | 1 | 1.0% |
| 313000 | 1 | 1.0% |
| 341250 | 1 | 1.0% |
| 391000 | 1 | 1.0% |
| 457000 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 5143700 | 1 | |
| 4397500 | 1 | |
| 4006300 | 1 | |
| 3497000 | 1 | |
| 3482500 | 1 | |
| 2978750 | 1 | |
| 2743500 | 1 | |
| 2481250 | 1 | |
| 2371250 | 1 | |
| 2364300 | 1 |
| Distinct | 81 |
|---|---|
| Distinct (%) | 80.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1010340.109 |
| Minimum | 0 |
|---|---|
| Maximum | 5143700 |
| Zeros | 20 |
| Zeros (%) | 19.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 287000 |
| median | 781586 |
| Q3 | 1315000 |
| 95-th percentile | 3047100 |
| Maximum | 5143700 |
| Range | 5143700 |
| Interquartile range (IQR) | 1028000 |
Descriptive statistics
| Standard deviation | 1012395.665 |
|---|---|
| Coefficient of variation (CV) | 1.002034519 |
| Kurtosis | 3.543384099 |
| Mean | 1010340.109 |
| Median Absolute Deviation (MAD) | 504664 |
| Skewness | 1.694221086 |
| Sum | 102044351 |
| Variance | 1.024944983 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 20 | 19.8% |
| 1083750 | 2 | 2.0% |
| 1193521 | 1 | 1.0% |
| 608337 | 1 | 1.0% |
| 552250 | 1 | 1.0% |
| 611250 | 1 | 1.0% |
| 738750 | 1 | 1.0% |
| 1108347 | 1 | 1.0% |
| 993631 | 1 | 1.0% |
| 955000 | 1 | 1.0% |
| Other values (71) | 71 |
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 47880 | 1 | 1.0% |
| 65778 | 1 | 1.0% |
| 203304 | 1 | 1.0% |
| 243750 | 1 | 1.0% |
| 282500 | 1 | 1.0% |
| 287000 | 1 | 1.0% |
| 292500 | 1 | 1.0% |
| 313000 | 1 | 1.0% |
| 341250 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 5143700 | 1 | |
| 4391914 | 1 | |
| 4006300 | 1 | |
| 3497000 | 1 | |
| 3482500 | 1 | |
| 3047100 | 1 | |
| 2978750 | 1 | |
| 2587000 | 1 | |
| 2371250 | 1 | |
| 2311250 | 1 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 5.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 35384917.82 |
| Minimum | 0 |
|---|---|
| Maximum | 2208000000 |
| Zeros | 96 |
| Zeros (%) | 95.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 2208000000 |
| Range | 2208000000 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 248359267.3 |
|---|---|
| Coefficient of variation (CV) | 7.018788868 |
| Kurtosis | 63.89526964 |
| Mean | 35384917.82 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 7.828631887 |
| Sum | 3573876700 |
| Variance | 6.168232566 × 1016 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 96 | |
| 2208000000 | 1 | 1.0% |
| 2639000 | 1 | 1.0% |
| 1180786700 | 1 | 1.0% |
| 156500000 | 1 | 1.0% |
| 25951000 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 0 | 96 | |
| 2639000 | 1 | 1.0% |
| 25951000 | 1 | 1.0% |
| 156500000 | 1 | 1.0% |
| 1180786700 | 1 | 1.0% |
| 2208000000 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 2208000000 | 1 | 1.0% |
| 1180786700 | 1 | 1.0% |
| 156500000 | 1 | 1.0% |
| 25951000 | 1 | 1.0% |
| 2639000 | 1 | 1.0% |
| 0 | 96 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 3.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 0 | |
|---|---|
| 2478066 | 1 |
| 2979600 | 1 |
Length
| Max length | 7 |
|---|---|
| Median length | 1 |
| Mean length | 1.118811881 |
| Min length | 1 |
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 2.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 99 | |
| 2478066 | 1 | 1.0% |
| 2979600 | 1 | 1.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 99 | |
| 2478066 | 1 | 1.0% |
| 2979600 | 1 | 1.0% |
| Distinct | 20 |
|---|---|
| Distinct (%) | 19.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.8097029703 |
| Minimum | 0 |
|---|---|
| Maximum | 2 |
| Zeros | 20 |
| Zeros (%) | 19.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.73 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 1.42 |
| Maximum | 2 |
| Range | 2 |
| Interquartile range (IQR) | 0.27 |
Descriptive statistics
| Standard deviation | 0.4681355689 |
|---|---|
| Coefficient of variation (CV) | 0.578157159 |
| Kurtosis | 0.1515886403 |
| Mean | 0.8097029703 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -0.5834695438 |
| Sum | 81.78 |
| Variance | 0.2191509109 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 1 | 61 | |
| 0 | 20 | 19.8% |
| 0.99 | 2 | 2.0% |
| 1.43 | 2 | 2.0% |
| 0.05 | 1 | 1.0% |
| 0.92 | 1 | 1.0% |
| 1.97 | 1 | 1.0% |
| 0.59 | 1 | 1.0% |
| 1.82 | 1 | 1.0% |
| 2 | 1 | 1.0% |
| Other values (10) | 10 | 9.9% |
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 0.05 | 1 | 1.0% |
| 0.08 | 1 | 1.0% |
| 0.59 | 1 | 1.0% |
| 0.7 | 1 | 1.0% |
| 0.72 | 1 | 1.0% |
| 0.73 | 1 | 1.0% |
| 0.74 | 1 | 1.0% |
| 0.77 | 1 | 1.0% |
| 0.92 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 2 | 1 | 1.0% |
| 1.97 | 1 | 1.0% |
| 1.82 | 1 | 1.0% |
| 1.43 | 2 | 2.0% |
| 1.42 | 1 | 1.0% |
| 1.29 | 1 | 1.0% |
| 1.2 | 1 | 1.0% |
| 1 | 61 | |
| 0.99 | 2 | 2.0% |
| 0.94 | 1 | 1.0% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. 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.
First rows
| YEAR | CTRD_NM | CTRD_CODE | SIGNGU_NM | SIGNGU_CODE | DELVRY_AM | PRVYYDO_CYFD_AM | BUDGET_AM | EXCUT_DTLS | CYFD_AM | DISUSE_AM | RL_EXCUT_RT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2006 | 경상남도 | 6480000 | 김해시 | 5350000 | 762300 | 0 | 762300 | 762300 | 0 | 0 | 1.0 |
| 1 | 2007 | 전라북도 | 6450000 | 장수군 | 4750000 | 1337539 | 0 | 1337539 | 65778 | 0 | 0 | 0.05 |
| 2 | 2007 | 경상북도 | 6470000 | 김천시 | 5060000 | 611250 | 0 | 611250 | 611250 | 0 | 0 | 1.0 |
| 3 | 2007 | 경상북도 | 6470000 | 영주시 | 5090000 | 738750 | 0 | 738750 | 738750 | 0 | 0 | 1.0 |
| 4 | 2007 | 경상북도 | 6470000 | 영양군 | 5170000 | 1108347 | 0 | 1108347 | 1108347 | 0 | 0 | 1.0 |
| 5 | 2007 | 경상북도 | 6470000 | 예천군 | 5230000 | 993631 | 0 | 993631 | 993631 | 0 | 0 | 1.0 |
| 6 | 2007 | 경상북도 | 6470000 | 봉화군 | 5240000 | 483999 | 0 | 483999 | 955000 | 0 | 0 | 1.97 |
| 7 | 2008 | 전라북도 | 6450000 | 장수군 | 4750000 | 1330511 | 0 | 1330511 | 781586 | 0 | 0 | 0.59 |
| 8 | 2008 | 전라북도 | 6450000 | 고창군 | 4780000 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 |
| 9 | 2008 | 경상북도 | 6470000 | 김천시 | 5060000 | 608337 | 0 | 608337 | 608337 | 0 | 0 | 1.0 |
Last rows
| YEAR | CTRD_NM | CTRD_CODE | SIGNGU_NM | SIGNGU_CODE | DELVRY_AM | PRVYYDO_CYFD_AM | BUDGET_AM | EXCUT_DTLS | CYFD_AM | DISUSE_AM | RL_EXCUT_RT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 91 | 2005 | 충청북도 | 6430000 | 영동군 | 4440000 | 1473780 | 0 | 1473780 | 1473780 | 0 | 0 | 1.0 |
| 92 | 2005 | 경상북도 | 6470000 | 영주시 | 5090000 | 889000 | 0 | 889000 | 889000 | 0 | 0 | 1.0 |
| 93 | 2005 | 경상북도 | 6470000 | 봉화군 | 5240000 | 2032239 | 0 | 2032239 | 2032239 | 0 | 0 | 1.0 |
| 94 | 2005 | 경상남도 | 6480000 | 김해시 | 5350000 | 2286900 | 0 | 2286900 | 2286900 | 0 | 0 | 1.0 |
| 95 | 2006 | 경상북도 | 6470000 | 김천시 | 5060000 | 1325105 | 0 | 1325105 | 1222000 | 0 | 0 | 0.92 |
| 96 | 2006 | 경상북도 | 6470000 | 안동시 | 5070000 | 1093104 | 0 | 1093104 | 1093104 | 0 | 0 | 1.0 |
| 97 | 2006 | 경상북도 | 6470000 | 영주시 | 5090000 | 1219744 | 0 | 1219744 | 1219744 | 0 | 0 | 1.0 |
| 98 | 2006 | 경상북도 | 6470000 | 상주시 | 5110000 | 1524680 | 0 | 1524680 | 1524680 | 0 | 0 | 1.0 |
| 99 | 2006 | 경상북도 | 6470000 | 예천군 | 5230000 | 940136 | 0 | 940136 | 940136 | 0 | 0 | 1.0 |
| 100 | 2006 | 경상북도 | 6470000 | 봉화군 | 5240000 | 940136 | 0 | 940136 | 940000 | 0 | 0 | 1.0 |