Overview

Dataset statistics

Number of variables21
Number of observations149
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.2 KiB
Average record size in memory186.9 B

Variable types

Text2
Numeric14
Categorical5

Dataset

DescriptionSample
Author제타럭스시스템
URLhttps://bigdata-geo.kr/user/dataset/view.do?data_sn=132

Alerts

signgu_nm has constant value ""Constant
signgu_oid has constant value ""Constant
nt_pnt_no has constant value ""Constant
oftl_cn_5 is highly imbalanced (81.0%)Imbalance
oftl_cn_10 is highly imbalanced (71.9%)Imbalance
mnnmb has unique valuesUnique
phrm_area has 2 (1.3%) zerosZeros
pul_c_5 has 129 (86.6%) zerosZeros
pul_c_10 has 76 (51.0%) zerosZeros
pul_c_15 has 9 (6.0%) zerosZeros
pul_i_c_5 has 129 (86.6%) zerosZeros
pul_i_c_10 has 78 (52.3%) zerosZeros
pul_i_c_15 has 11 (7.4%) zerosZeros
pul_i_r_5 has 129 (86.6%) zerosZeros
pul_i_r_10 has 78 (52.3%) zerosZeros
pul_i_r_15 has 11 (7.4%) zerosZeros
soprt_c_5 has 17 (11.4%) zerosZeros
soprt_c_10 has 9 (6.0%) zerosZeros
sopst_c_15 has 2 (1.3%) zerosZeros
oftl_cn_15 has 127 (85.2%) zerosZeros

Reproduction

Analysis started2023-12-10 13:24:53.704668
Analysis finished2023-12-10 13:24:54.116188
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

mnnmb
Text

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-10T22:24:54.394296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3725
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)100.0%

Sample

1st rowPHMD119703230034084000001
2nd rowPHMD119753230034084000001
3rd rowPHMD119803230034084000003
4th rowPHMD119823230034084000011
5th rowPHMD119833230034084000001
ValueCountFrequency (%)
phmd119703230034084000001 1
 
0.7%
phmd120033230034084000034 1
 
0.7%
phmd120053230034084000037 1
 
0.7%
phmd120053230034084000039 1
 
0.7%
phmd120053230034084000043 1
 
0.7%
phmd120053230034084000049 1
 
0.7%
phmd120063230034084000001 1
 
0.7%
phmd120063230034084000004 1
 
0.7%
phmd120063230034084000006 1
 
0.7%
phmd120063230034084000007 1
 
0.7%
Other values (139) 139
93.3%
2023-12-10T22:24:54.963914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1306
35.1%
3 499
 
13.4%
4 345
 
9.3%
2 297
 
8.0%
1 271
 
7.3%
8 211
 
5.7%
P 149
 
4.0%
H 149
 
4.0%
M 149
 
4.0%
D 149
 
4.0%
Other values (4) 200
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3129
84.0%
Uppercase Letter 596
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1306
41.7%
3 499
 
15.9%
4 345
 
11.0%
2 297
 
9.5%
1 271
 
8.7%
8 211
 
6.7%
9 113
 
3.6%
6 32
 
1.0%
5 28
 
0.9%
7 27
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 149
25.0%
H 149
25.0%
M 149
25.0%
D 149
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3129
84.0%
Latin 596
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1306
41.7%
3 499
 
15.9%
4 345
 
11.0%
2 297
 
9.5%
1 271
 
8.7%
8 211
 
6.7%
9 113
 
3.6%
6 32
 
1.0%
5 28
 
0.9%
7 27
 
0.9%
Latin
ValueCountFrequency (%)
P 149
25.0%
H 149
25.0%
M 149
25.0%
D 149
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1306
35.1%
3 499
 
13.4%
4 345
 
9.3%
2 297
 
8.0%
1 271
 
7.3%
8 211
 
5.7%
P 149
 
4.0%
H 149
 
4.0%
M 149
 
4.0%
D 149
 
4.0%
Other values (4) 200
 
5.4%

bplc_nm
Text

Distinct148
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-10T22:24:55.474346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.2348993
Min length3

Characters and Unicode

Total characters780
Distinct characters172
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)98.7%

Sample

1st row윤호약국
2nd row동의삼성약국
3rd row후생약국
4th row지하철약국
5th row삼전종로약국
ValueCountFrequency (%)
온누리건강약국 2
 
1.3%
동서약국 1
 
0.7%
오층조은약국 1
 
0.7%
3층하나약국 1
 
0.7%
행복한우리약국 1
 
0.7%
화인약국 1
 
0.7%
송파태양약국 1
 
0.7%
미르약국 1
 
0.7%
윤호약국 1
 
0.7%
누가신약국 1
 
0.7%
Other values (139) 139
92.7%
2023-12-10T22:24:56.149392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 150
 
19.2%
국 149
 
19.1%
리 23
 
2.9%
온 13
 
1.7%
누 13
 
1.7%
한 11
 
1.4%
우 9
 
1.2%
마 9
 
1.2%
팜 8
 
1.0%
이 8
 
1.0%
Other values (162) 387
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 774
99.2%
Decimal Number 4
 
0.5%
Space Separator 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 150
 
19.4%
국 149
 
19.3%
리 23
 
3.0%
온 13
 
1.7%
누 13
 
1.7%
한 11
 
1.4%
우 9
 
1.2%
마 9
 
1.2%
팜 8
 
1.0%
이 8
 
1.0%
Other values (157) 381
49.2%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
1 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 774
99.2%
Common 5
 
0.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 150
 
19.4%
국 149
 
19.3%
리 23
 
3.0%
온 13
 
1.7%
누 13
 
1.7%
한 11
 
1.4%
우 9
 
1.2%
마 9
 
1.2%
팜 8
 
1.0%
이 8
 
1.0%
Other values (157) 381
49.2%
Common
ValueCountFrequency (%)
0 2
40.0%
1 1
20.0%
1
20.0%
3 1
20.0%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 774
99.2%
ASCII 6
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 150
 
19.4%
국 149
 
19.3%
리 23
 
3.0%
온 13
 
1.7%
누 13
 
1.7%
한 11
 
1.4%
우 9
 
1.2%
마 9
 
1.2%
팜 8
 
1.0%
이 8
 
1.0%
Other values (157) 381
49.2%
ASCII
ValueCountFrequency (%)
0 2
33.3%
1 1
16.7%
1
16.7%
3 1
16.7%
M 1
16.7%

phrm_area
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.673893
Minimum0
Maximum395.23
Zeros2
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T22:24:56.397013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.328
Q123.37
median30.7
Q345.1
95-th percentile90.054
Maximum395.23
Range395.23
Interquartile range (IQR)21.73

Descriptive statistics

Standard deviation38.846008
Coefficient of variation (CV)0.95505999
Kurtosis48.090476
Mean40.673893
Median Absolute Deviation (MAD)9.4
Skewness5.8805552
Sum6060.41
Variance1509.0123
MonotonicityNot monotonic
2023-12-10T22:24:56.619813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.0 2
 
1.3%
19.8 2
 
1.3%
28.8 2
 
1.3%
20.1 2
 
1.3%
0.0 2
 
1.3%
21.0 2
 
1.3%
21.55 1
 
0.7%
46.92 1
 
0.7%
21.3 1
 
0.7%
55.13 1
 
0.7%
Other values (133) 133
89.3%
ValueCountFrequency (%)
0.0 2
1.3%
12.15 1
0.7%
12.54 1
0.7%
14.21 1
0.7%
15.66 1
0.7%
16.0 1
0.7%
16.32 1
0.7%
16.34 1
0.7%
16.55 1
0.7%
16.56 1
0.7%
ValueCountFrequency (%)
395.23 1
0.7%
192.24 1
0.7%
129.6 1
0.7%
126.5 1
0.7%
117.3 1
0.7%
109.62 1
0.7%
99.07 1
0.7%
90.09 1
0.7%
90.0 1
0.7%
81.0 1
0.7%

pul_c_5
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266.32215
Minimum0
Maximum5913
Zeros129
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T22:24:56.823306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1728
Maximum5913
Range5913
Interquartile range (IQR)0

Descriptive statistics

Standard deviation865.83689
Coefficient of variation (CV)3.2510886
Kurtosis24.200921
Mean266.32215
Median Absolute Deviation (MAD)0
Skewness4.5235389
Sum39682
Variance749673.52
MonotonicityNot monotonic
2023-12-10T22:24:57.021541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 129
86.6%
1632 2
 
1.3%
5913 2
 
1.3%
2668 2
 
1.3%
1716 1
 
0.7%
1060 1
 
0.7%
1590 1
 
0.7%
1736 1
 
0.7%
496 1
 
0.7%
1239 1
 
0.7%
Other values (8) 8
 
5.4%
ValueCountFrequency (%)
0 129
86.6%
469 1
 
0.7%
496 1
 
0.7%
523 1
 
0.7%
1042 1
 
0.7%
1060 1
 
0.7%
1239 1
 
0.7%
1250 1
 
0.7%
1273 1
 
0.7%
1590 1
 
0.7%
ValueCountFrequency (%)
5913 2
1.3%
2668 2
1.3%
2539 1
0.7%
2368 1
0.7%
1955 1
0.7%
1736 1
0.7%
1716 1
0.7%
1632 2
1.3%
1590 1
0.7%
1273 1
0.7%

pul_c_10
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1008.557
Minimum0
Maximum5913
Zeros76
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T22:24:57.239539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31809
95-th percentile3116
Maximum5913
Range5913
Interquartile range (IQR)1809

Descriptive statistics

Standard deviation1270.0701
Coefficient of variation (CV)1.2592942
Kurtosis1.4339396
Mean1008.557
Median Absolute Deviation (MAD)0
Skewness1.2140483
Sum150275
Variance1613078
MonotonicityNot monotonic
2023-12-10T22:24:57.483247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 76
51.0%
1590 3
 
2.0%
1716 2
 
1.3%
853 2
 
1.3%
2668 2
 
1.3%
1042 2
 
1.3%
2368 2
 
1.3%
1699 2
 
1.3%
1808 2
 
1.3%
1955 2
 
1.3%
Other values (46) 54
36.2%
ValueCountFrequency (%)
0 76
51.0%
224 1
 
0.7%
458 1
 
0.7%
469 2
 
1.3%
496 1
 
0.7%
523 1
 
0.7%
853 2
 
1.3%
875 1
 
0.7%
1016 1
 
0.7%
1042 2
 
1.3%
ValueCountFrequency (%)
5913 2
1.3%
3731 2
1.3%
3718 1
0.7%
3387 1
0.7%
3335 1
0.7%
3116 2
1.3%
3078 2
1.3%
2943 1
0.7%
2823 1
0.7%
2705 1
0.7%

pul_c_15
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2214.0201
Minimum0
Maximum5925
Zeros9
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T22:24:57.720072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11250
median1907
Q32954
95-th percentile5027
Maximum5925
Range5925
Interquartile range (IQR)1704

Descriptive statistics

Standard deviation1385.86
Coefficient of variation (CV)0.62594734
Kurtosis0.23343044
Mean2214.0201
Median Absolute Deviation (MAD)798
Skewness0.65394564
Sum329889
Variance1920608
MonotonicityNot monotonic
2023-12-10T22:24:58.047074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
6.0%
1590 3
 
2.0%
1809 3
 
2.0%
1239 3
 
2.0%
1102 3
 
2.0%
1158 3
 
2.0%
1775 3
 
2.0%
2848 3
 
2.0%
1632 3
 
2.0%
1955 2
 
1.3%
Other values (85) 114
76.5%
ValueCountFrequency (%)
0 9
6.0%
24 1
 
0.7%
145 2
 
1.3%
224 1
 
0.7%
458 1
 
0.7%
469 2
 
1.3%
496 1
 
0.7%
523 1
 
0.7%
853 2
 
1.3%
875 1
 
0.7%
ValueCountFrequency (%)
5925 1
0.7%
5913 2
1.3%
5544 1
0.7%
5464 1
0.7%
5310 1
0.7%
5239 1
0.7%
5077 1
0.7%
4952 1
0.7%
4936 1
0.7%
4726 1
0.7%

pul_i_c_5
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9865772
Minimum-87
Maximum864
Zeros129
Zeros (%)86.6%
Negative13
Negative (%)8.7%
Memory size1.4 KiB
2023-12-10T22:24:58.352599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-87
5-th percentile-27.4
Q10
median0
Q30
95-th percentile0
Maximum864
Range951
Interquartile range (IQR)0

Descriptive statistics

Standard deviation101.76775
Coefficient of variation (CV)11.324418
Kurtosis67.081661
Mean8.9865772
Median Absolute Deviation (MAD)0
Skewness8.0996668
Sum1339
Variance10356.675
MonotonicityNot monotonic
2023-12-10T22:24:58.636256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 129
86.6%
864 2
 
1.3%
15 2
 
1.3%
-86 2
 
1.3%
76 2
 
1.3%
-71 1
 
0.7%
24 1
 
0.7%
-87 1
 
0.7%
-25 1
 
0.7%
-11 1
 
0.7%
Other values (7) 7
 
4.7%
ValueCountFrequency (%)
-87 1
0.7%
-86 2
1.3%
-71 1
0.7%
-66 1
0.7%
-58 1
0.7%
-46 1
0.7%
-29 1
0.7%
-25 1
0.7%
-19 1
0.7%
-11 1
0.7%
ValueCountFrequency (%)
864 2
 
1.3%
76 2
 
1.3%
24 1
 
0.7%
15 2
 
1.3%
0 129
86.6%
-4 1
 
0.7%
-7 1
 
0.7%
-11 1
 
0.7%
-19 1
 
0.7%
-25 1
 
0.7%

pul_i_c_10
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.3691275
Minimum-170
Maximum864
Zeros78
Zeros (%)52.3%
Negative55
Negative (%)36.9%
Memory size1.4 KiB
2023-12-10T22:24:58.849084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-170
5-th percentile-86.6
Q1-27
median0
Q30
95-th percentile23.2
Maximum864
Range1034
Interquartile range (IQR)27

Descriptive statistics

Standard deviation108.79322
Coefficient of variation (CV)-45.921216
Kurtosis53.756677
Mean-2.3691275
Median Absolute Deviation (MAD)0
Skewness6.903779
Sum-353
Variance11835.964
MonotonicityNot monotonic
2023-12-10T22:24:59.098950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 78
52.3%
-46 4
 
2.7%
-11 3
 
2.0%
-87 3
 
2.0%
-47 3
 
2.0%
-8 2
 
1.3%
-66 2
 
1.3%
8 2
 
1.3%
-7 2
 
1.3%
76 2
 
1.3%
Other values (39) 48
32.2%
ValueCountFrequency (%)
-170 1
 
0.7%
-115 1
 
0.7%
-102 1
 
0.7%
-93 1
 
0.7%
-89 1
 
0.7%
-87 3
2.0%
-86 2
1.3%
-82 1
 
0.7%
-71 2
1.3%
-70 1
 
0.7%
ValueCountFrequency (%)
864 2
1.3%
225 1
0.7%
76 2
1.3%
64 1
0.7%
40 1
0.7%
24 1
0.7%
22 1
0.7%
15 2
1.3%
10 1
0.7%
8 2
1.3%

pul_i_c_15
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-11.503356
Minimum-520
Maximum864
Zeros11
Zeros (%)7.4%
Negative114
Negative (%)76.5%
Memory size1.4 KiB
2023-12-10T22:24:59.317488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-520
5-th percentile-124.6
Q1-70
median-29
Q3-4
95-th percentile76
Maximum864
Range1384
Interquartile range (IQR)66

Descriptive statistics

Standard deviation183.0444
Coefficient of variation (CV)-15.912261
Kurtosis14.992997
Mean-11.503356
Median Absolute Deviation (MAD)29
Skewness3.4433181
Sum-1714
Variance33505.252
MonotonicityNot monotonic
2023-12-10T22:24:59.574005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
7.4%
-14 5
 
3.4%
-46 5
 
3.4%
-19 5
 
3.4%
-11 5
 
3.4%
-71 3
 
2.0%
-52 3
 
2.0%
-87 3
 
2.0%
-50 3
 
2.0%
-47 3
 
2.0%
Other values (66) 103
69.1%
ValueCountFrequency (%)
-520 1
0.7%
-453 1
0.7%
-198 1
0.7%
-172 1
0.7%
-170 1
0.7%
-154 1
0.7%
-133 1
0.7%
-125 1
0.7%
-124 1
0.7%
-115 2
1.3%
ValueCountFrequency (%)
864 3
2.0%
812 1
 
0.7%
711 2
1.3%
225 1
 
0.7%
76 2
1.3%
64 1
 
0.7%
40 1
 
0.7%
24 1
 
0.7%
22 1
 
0.7%
15 3
2.0%

pul_i_r_5
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3872483
Minimum-5.96
Maximum112.5
Zeros129
Zeros (%)86.6%
Negative13
Negative (%)8.7%
Memory size1.4 KiB
2023-12-10T22:24:59.847156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.96
5-th percentile-1.426
Q10
median0
Q30
95-th percentile0
Maximum112.5
Range118.46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.040927
Coefficient of variation (CV)9.4005716
Kurtosis71.104728
Mean1.3872483
Median Absolute Deviation (MAD)0
Skewness8.4677175
Sum206.7
Variance170.06578
MonotonicityNot monotonic
2023-12-10T22:25:00.071017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 129
86.6%
112.5 2
 
1.3%
-1.43 2
 
1.3%
2.93 2
 
1.3%
-3.97 1
 
0.7%
2.32 1
 
0.7%
-5.19 1
 
0.7%
-1.42 1
 
0.7%
3.12 1
 
0.7%
-0.88 1
 
0.7%
Other values (8) 8
 
5.4%
ValueCountFrequency (%)
-5.96 1
0.7%
-5.19 1
0.7%
-3.97 1
0.7%
-3.49 1
0.7%
-2.88 1
0.7%
-1.47 1
0.7%
-1.43 2
1.3%
-1.42 1
0.7%
-1.13 1
0.7%
-0.88 1
0.7%
ValueCountFrequency (%)
112.5 2
 
1.3%
3.12 1
 
0.7%
2.93 2
 
1.3%
2.32 1
 
0.7%
1.21 1
 
0.7%
0.0 129
86.6%
-0.76 1
 
0.7%
-0.8 1
 
0.7%
-0.88 1
 
0.7%
-1.13 1
 
0.7%

pul_i_r_10
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81711409
Minimum-5.96
Maximum112.5
Zeros78
Zeros (%)52.3%
Negative55
Negative (%)36.9%
Memory size1.4 KiB
2023-12-10T22:25:00.285501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.96
5-th percentile-3.97
Q1-1.43
median0
Q30
95-th percentile2.156
Maximum112.5
Range118.46
Interquartile range (IQR)1.43

Descriptive statistics

Standard deviation13.202361
Coefficient of variation (CV)16.157304
Kurtosis69.006735
Mean0.81711409
Median Absolute Deviation (MAD)0
Skewness8.2837316
Sum121.75
Variance174.30234
MonotonicityNot monotonic
2023-12-10T22:25:00.527281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 78
52.3%
-5.19 3
 
2.0%
-0.8 3
 
2.0%
-3.97 2
 
1.3%
-0.93 2
 
1.3%
2.93 2
 
1.3%
-0.88 2
 
1.3%
-5.96 2
 
1.3%
-0.64 2
 
1.3%
0.44 2
 
1.3%
Other values (43) 51
34.2%
ValueCountFrequency (%)
-5.96 2
1.3%
-5.68 1
 
0.7%
-5.19 3
2.0%
-4.58 1
 
0.7%
-3.97 2
1.3%
-3.78 1
 
0.7%
-3.76 1
 
0.7%
-3.49 1
 
0.7%
-3.41 1
 
0.7%
-3.27 2
1.3%
ValueCountFrequency (%)
112.5 2
1.3%
9.07 1
0.7%
3.43 1
0.7%
3.12 1
0.7%
2.93 2
1.3%
2.32 1
0.7%
1.91 1
0.7%
1.54 1
0.7%
1.21 1
0.7%
0.46 1
0.7%

pul_i_r_15
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5341611
Minimum-25.01
Maximum112.5
Zeros11
Zeros (%)7.4%
Negative114
Negative (%)76.5%
Memory size1.4 KiB
2023-12-10T22:25:00.759518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-25.01
5-th percentile-6.878
Q1-3.41
median-1.98
Q3-0.43
95-th percentile3.306
Maximum112.5
Range137.51
Interquartile range (IQR)2.98

Descriptive statistics

Standard deviation20.590006
Coefficient of variation (CV)13.421019
Kurtosis22.014738
Mean1.5341611
Median Absolute Deviation (MAD)1.51
Skewness4.7062756
Sum228.59
Variance423.94833
MonotonicityNot monotonic
2023-12-10T22:25:00.966060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
7.4%
-3.76 4
 
2.7%
-0.88 4
 
2.7%
-2.92 4
 
2.7%
-2.53 3
 
2.0%
-3.18 3
 
2.0%
-2.79 3
 
2.0%
-3.02 3
 
2.0%
112.5 3
 
2.0%
-5.19 3
 
2.0%
Other values (79) 108
72.5%
ValueCountFrequency (%)
-25.01 1
0.7%
-18.1 1
0.7%
-14.29 1
0.7%
-12.45 1
0.7%
-11.87 1
0.7%
-11.04 2
1.3%
-7.09 1
0.7%
-6.56 1
0.7%
-6.18 1
0.7%
-5.96 2
1.3%
ValueCountFrequency (%)
112.5 3
2.0%
109.71 1
 
0.7%
71.47 2
1.3%
9.07 1
 
0.7%
3.43 1
 
0.7%
3.12 1
 
0.7%
2.93 2
1.3%
2.32 1
 
0.7%
1.91 1
 
0.7%
1.54 1
 
0.7%

soprt_c_5
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.630872
Minimum0
Maximum170
Zeros17
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T22:25:01.209357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median14
Q324
95-th percentile65.4
Maximum170
Range170
Interquartile range (IQR)17

Descriptive statistics

Standard deviation26.873917
Coefficient of variation (CV)1.3026069
Kurtosis18.020301
Mean20.630872
Median Absolute Deviation (MAD)8
Skewness3.8509578
Sum3074
Variance722.20742
MonotonicityNot monotonic
2023-12-10T22:25:01.876602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 17
 
11.4%
11 9
 
6.0%
13 9
 
6.0%
5 7
 
4.7%
16 7
 
4.7%
12 6
 
4.0%
6 6
 
4.0%
25 5
 
3.4%
7 5
 
3.4%
14 5
 
3.4%
Other values (36) 73
49.0%
ValueCountFrequency (%)
0 17
11.4%
1 2
 
1.3%
4 1
 
0.7%
5 7
4.7%
6 6
 
4.0%
7 5
 
3.4%
8 3
 
2.0%
9 3
 
2.0%
10 4
 
2.7%
11 9
6.0%
ValueCountFrequency (%)
170 3
2.0%
84 1
 
0.7%
83 1
 
0.7%
80 1
 
0.7%
78 1
 
0.7%
67 1
 
0.7%
63 1
 
0.7%
50 1
 
0.7%
46 1
 
0.7%
45 1
 
0.7%

soprt_c_10
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.214765
Minimum0
Maximum227
Zeros9
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T22:25:02.121924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127
median45
Q369
95-th percentile130.8
Maximum227
Range227
Interquartile range (IQR)42

Descriptive statistics

Standard deviation43.006531
Coefficient of variation (CV)0.77889547
Kurtosis4.8260555
Mean55.214765
Median Absolute Deviation (MAD)21
Skewness1.8092616
Sum8227
Variance1849.5617
MonotonicityNot monotonic
2023-12-10T22:25:02.427641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
6.0%
45 6
 
4.0%
27 5
 
3.4%
47 4
 
2.7%
34 4
 
2.7%
63 4
 
2.7%
36 4
 
2.7%
25 3
 
2.0%
44 3
 
2.0%
24 3
 
2.0%
Other values (64) 104
69.8%
ValueCountFrequency (%)
0 9
6.0%
1 2
 
1.3%
2 2
 
1.3%
7 1
 
0.7%
12 2
 
1.3%
13 1
 
0.7%
18 3
 
2.0%
19 2
 
1.3%
20 1
 
0.7%
21 1
 
0.7%
ValueCountFrequency (%)
227 3
2.0%
219 1
 
0.7%
145 1
 
0.7%
143 1
 
0.7%
138 1
 
0.7%
134 1
 
0.7%
126 1
 
0.7%
122 1
 
0.7%
121 1
 
0.7%
115 1
 
0.7%

sopst_c_15
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.48993
Minimum0
Maximum486
Zeros2
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T22:25:02.774903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27.2
Q164
median92
Q3128
95-th percentile228.4
Maximum486
Range486
Interquartile range (IQR)64

Descriptive statistics

Standard deviation68.140318
Coefficient of variation (CV)0.6584246
Kurtosis7.1257
Mean103.48993
Median Absolute Deviation (MAD)31
Skewness1.9940875
Sum15420
Variance4643.1029
MonotonicityNot monotonic
2023-12-10T22:25:03.067356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68 4
 
2.7%
1 3
 
2.0%
45 3
 
2.0%
66 3
 
2.0%
138 3
 
2.0%
39 3
 
2.0%
89 3
 
2.0%
99 3
 
2.0%
312 3
 
2.0%
74 3
 
2.0%
Other values (90) 118
79.2%
ValueCountFrequency (%)
0 2
1.3%
1 3
2.0%
24 1
 
0.7%
26 2
1.3%
29 1
 
0.7%
30 1
 
0.7%
31 1
 
0.7%
32 1
 
0.7%
33 1
 
0.7%
34 1
 
0.7%
ValueCountFrequency (%)
486 1
 
0.7%
312 3
2.0%
266 2
1.3%
261 1
 
0.7%
230 1
 
0.7%
226 1
 
0.7%
208 2
1.3%
187 1
 
0.7%
186 1
 
0.7%
180 1
 
0.7%

oftl_cn_5
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
142 
1
 
6
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 142
95.3%
1 6
 
4.0%
2 1
 
0.7%

Length

2023-12-10T22:25:03.324674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:25:03.497769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 142
95.3%
1 6
 
4.0%
2 1
 
0.7%

oftl_cn_10
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
133 
1
 
10
2
 
3
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 133
89.3%
1 10
 
6.7%
2 3
 
2.0%
3 2
 
1.3%
4 1
 
0.7%

Length

2023-12-10T22:25:03.700419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:25:03.971143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 133
89.3%
1 10
 
6.7%
2 3
 
2.0%
3 2
 
1.3%
4 1
 
0.7%

oftl_cn_15
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31543624
Minimum0
Maximum7
Zeros127
Zeros (%)85.2%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T22:25:04.262743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.95214728
Coefficient of variation (CV)3.0185095
Kurtosis21.20067
Mean0.31543624
Median Absolute Deviation (MAD)0
Skewness4.1840441
Sum47
Variance0.90658444
MonotonicityNot monotonic
2023-12-10T22:25:04.588973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 127
85.2%
1 9
 
6.0%
2 8
 
5.4%
3 2
 
1.3%
4 1
 
0.7%
7 1
 
0.7%
5 1
 
0.7%
ValueCountFrequency (%)
0 127
85.2%
1 9
 
6.0%
2 8
 
5.4%
3 2
 
1.3%
4 1
 
0.7%
5 1
 
0.7%
7 1
 
0.7%
ValueCountFrequency (%)
7 1
 
0.7%
5 1
 
0.7%
4 1
 
0.7%
3 2
 
1.3%
2 8
 
5.4%
1 9
 
6.0%
0 127
85.2%

signgu_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
송파구
149 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row송파구
2nd row송파구
3rd row송파구
4th row송파구
5th row송파구

Common Values

ValueCountFrequency (%)
송파구 149
100.0%

Length

2023-12-10T22:25:04.779315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:25:04.948361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
송파구 149
100.0%

signgu_oid
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1969
149 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1969
2nd row1969
3rd row1969
4th row1969
5th row1969

Common Values

ValueCountFrequency (%)
1969 149
100.0%

Length

2023-12-10T22:25:05.102014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:25:05.256217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1969 149
100.0%

nt_pnt_no
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
128
149 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row128
2nd row128
3rd row128
4th row128
5th row128

Common Values

ValueCountFrequency (%)
128 149
100.0%

Length

2023-12-10T22:25:05.428500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:25:05.586785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
128 149
100.0%

Sample

mnnmbbplc_nmphrm_areapul_c_5pul_c_10pul_c_15pul_i_c_5pul_i_c_10pul_i_c_15pul_i_r_5pul_i_r_10pul_i_r_15soprt_c_5soprt_c_10sopst_c_15oftl_cn_5oftl_cn_10oftl_cn_15signgu_nmsigngu_oidnt_pnt_no
0PHMD119703230034084000001윤호약국29.610171617160-71-710.0-3.97-3.97122549000송파구1969128
1PHMD119753230034084000001동의삼성약국44.50000000.00.00.0183480000송파구1969128
2PHMD119803230034084000003후생약국16.320236923690-93-930.0-3.78-3.7878138208000송파구1969128
3PHMD119823230034084000011지하철약국17.390000000.00.00.0000000송파구1969128
4PHMD119833230034084000001삼전종로약국76.5019291929064640.03.433.431188143011송파구1969128
5PHMD119833230034084000002보건당약국31.960218921890-46-460.0-2.06-2.062465138000송파구1969128
6PHMD119833230034084000009해성약국24.62003591007110.00.071.4729104158000송파구1969128
7PHMD119833230034084000010감초당약국34.56253925392539-29-29-29-1.13-1.13-1.13214789133송파구1969128
8PHMD119833230034084000012고바우약국28.4900236900-930.00.0-3.7883126187000송파구1969128
9PHMD119843230034084000002메디팜하나약국0.0163216321632864864864112.5112.5112.5125792000송파구1969128
mnnmbbplc_nmphrm_areapul_c_5pul_c_10pul_c_15pul_i_c_5pul_i_c_10pul_i_c_15pul_i_r_5pul_i_r_10pul_i_r_15soprt_c_5soprt_c_10sopst_c_15oftl_cn_5oftl_cn_10oftl_cn_15signgu_nmsigngu_oidnt_pnt_no
139PHMD120093230034084000035옵티마100세약국38.900177500-600.00.0-3.2725122173000송파구1969128
140PHMD120093230034084000041프라자약국32.700110200-140.00.0-3.020068000송파구1969128
141PHMD120093230034084000048새희망약국28.8159015901590-87-87-87-5.19-5.19-5.1992582222송파구1969128
142PHMD120093230034084000053열린약국76.5400325600-1980.00.0-11.87257390000송파구1969128
143PHMD120093230034084000062두리약국30.000507700-5200.00.0-18.1111829000송파구1969128
144PHMD120103230034084000001크리스마스약국30.800115800-190.00.0-3.18170227312000송파구1969128
145PHMD120103230034084000003녹원약국21.00333533350-27-270.0-0.8-0.8153468000송파구1969128
146PHMD120103230034084000005왕약국109.6200355000-890.00.0-4.831566117000송파구1969128
147PHMD120103230034084000007팜플러스약국72.321060106010602424242.322.322.32575123123송파구1969128
148PHMD120103230034084000008메디팜우리약국20.100115800-190.00.0-3.18170227312000송파구1969128