Overview

Dataset statistics

Number of variables70
Number of observations10000
Missing cells449028
Missing cells (%)64.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 MiB
Average record size in memory577.0 B

Variable types

Numeric9
Text19
Categorical9
Unsupported33

Alerts

ropnymd has constant value ""Constant
sitetel has constant value ""Constant
etcepcnt has constant value ""Constant
astnepnum has constant value ""Constant
facilmngnum has constant value ""Constant
mitmdcdepnm has constant value ""Constant
mitmdcasgntype has constant value ""Constant
batrar has constant value ""Constant
metrbosassrnm has constant value ""Constant
qutnownernum has constant value ""Constant
epcnt has constant value ""Constant
medextritemscn has constant value ""Constant
medextritemscnnm has constant value ""Constant
totepnum has constant value ""Constant
frstasgnymd has constant value ""Constant
updategbn is highly imbalanced (98.4%)Imbalance
updatedt is highly imbalanced (98.8%)Imbalance
opnsvcnm is highly imbalanced (99.5%)Imbalance
dtlstatenm is highly imbalanced (55.7%)Imbalance
metrorgassrnm is highly imbalanced (57.5%)Imbalance
sitepostno has 3289 (32.9%) missing valuesMissing
sitewhladdr has 854 (8.5%) missing valuesMissing
rdnpostno has 2193 (21.9%) missing valuesMissing
rdnwhladdr has 890 (8.9%) missing valuesMissing
dcbymd has 5772 (57.7%) missing valuesMissing
clgstdt has 9934 (99.3%) missing valuesMissing
clgenddt has 9934 (99.3%) missing valuesMissing
ropnymd has 9999 (> 99.9%) missing valuesMissing
x has 875 (8.8%) missing valuesMissing
y has 875 (8.8%) missing valuesMissing
nursecnt has 9970 (99.7%) missing valuesMissing
nursaidcnt has 9970 (99.7%) missing valuesMissing
bdnglayercnt has 9972 (99.7%) missing valuesMissing
emercargen has 5972 (59.7%) missing valuesMissing
emercarspec has 5972 (59.7%) missing valuesMissing
rescnt has 9998 (> 99.9%) missing valuesMissing
pomfacilar has 9983 (99.8%) missing valuesMissing
etcstfcnt has 9991 (99.9%) missing valuesMissing
etcepcnt has 9999 (> 99.9%) missing valuesMissing
mmknurmar has 9978 (99.8%) missing valuesMissing
btrmar has 9986 (99.9%) missing valuesMissing
btpnum has 9984 (99.8%) missing valuesMissing
sicbnum has 5970 (59.7%) missing valuesMissing
astnepnum has 9999 (> 99.9%) missing valuesMissing
ofear has 9982 (99.8%) missing valuesMissing
warmar has 9983 (99.8%) missing valuesMissing
facilmngnum has 9999 (> 99.9%) missing valuesMissing
pharmtrdar has 7344 (73.4%) missing valuesMissing
nutrcnt has 9989 (99.9%) missing valuesMissing
bbrmar has 9971 (99.7%) missing valuesMissing
babyrglstnum has 9968 (99.7%) missing valuesMissing
mitmdcdepnm has 9999 (> 99.9%) missing valuesMissing
mitmdcasgntype has 9999 (> 99.9%) missing valuesMissing
batrar has 9999 (> 99.9%) missing valuesMissing
metrbosassrnm has 9999 (> 99.9%) missing valuesMissing
metrpnum has 5973 (59.7%) missing valuesMissing
pgrmar has 9972 (99.7%) missing valuesMissing
pwnmrglstnum has 9968 (99.7%) missing valuesMissing
hstrmnum has 5970 (59.7%) missing valuesMissing
qutnownernum has 9999 (> 99.9%) missing valuesMissing
joriwontoilar has 9982 (99.8%) missing valuesMissing
epcnt has 9999 (> 99.9%) missing valuesMissing
jisgnumlay has 9977 (99.8%) missing valuesMissing
asgnymd has 7342 (73.4%) missing valuesMissing
asgncancelymd has 9645 (96.5%) missing valuesMissing
undernumlay has 9990 (99.9%) missing valuesMissing
medextritemscn has 9999 (> 99.9%) missing valuesMissing
medextritemscnnm has 9999 (> 99.9%) missing valuesMissing
totar has 5970 (59.7%) missing valuesMissing
totepnum has 9999 (> 99.9%) missing valuesMissing
frstasgnymd has 9999 (> 99.9%) missing valuesMissing
copnum has 9984 (99.8%) missing valuesMissing
storetrdar has 5031 (50.3%) missing valuesMissing
pmtbednum has 9634 (96.3%) missing valuesMissing
opnsfteamcode is highly skewed (γ1 = 26.49678981)Skewed
skey has unique valuesUnique
mgtno has unique valuesUnique
sitepostno is an unsupported type, check if it needs cleaning or further analysisUnsupported
dcbymd is an unsupported type, check if it needs cleaning or further analysisUnsupported
trdstatenm is an unsupported type, check if it needs cleaning or further analysisUnsupported
nursecnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
nursaidcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
bdnglayercnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
emercargen is an unsupported type, check if it needs cleaning or further analysisUnsupported
emercarspec is an unsupported type, check if it needs cleaning or further analysisUnsupported
rescnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
pomfacilar is an unsupported type, check if it needs cleaning or further analysisUnsupported
etcstfcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
mmknurmar is an unsupported type, check if it needs cleaning or further analysisUnsupported
btrmar is an unsupported type, check if it needs cleaning or further analysisUnsupported
btpnum is an unsupported type, check if it needs cleaning or further analysisUnsupported
sicbnum is an unsupported type, check if it needs cleaning or further analysisUnsupported
ofear is an unsupported type, check if it needs cleaning or further analysisUnsupported
warmar is an unsupported type, check if it needs cleaning or further analysisUnsupported
pharmtrdar is an unsupported type, check if it needs cleaning or further analysisUnsupported
nutrcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
bbrmar is an unsupported type, check if it needs cleaning or further analysisUnsupported
babyrglstnum is an unsupported type, check if it needs cleaning or further analysisUnsupported
metrpnum is an unsupported type, check if it needs cleaning or further analysisUnsupported
pgrmar is an unsupported type, check if it needs cleaning or further analysisUnsupported
pwnmrglstnum is an unsupported type, check if it needs cleaning or further analysisUnsupported
hstrmnum is an unsupported type, check if it needs cleaning or further analysisUnsupported
joriwontoilar is an unsupported type, check if it needs cleaning or further analysisUnsupported
jisgnumlay is an unsupported type, check if it needs cleaning or further analysisUnsupported
asgnymd is an unsupported type, check if it needs cleaning or further analysisUnsupported
undernumlay is an unsupported type, check if it needs cleaning or further analysisUnsupported
totar is an unsupported type, check if it needs cleaning or further analysisUnsupported
copnum is an unsupported type, check if it needs cleaning or further analysisUnsupported
storetrdar is an unsupported type, check if it needs cleaning or further analysisUnsupported
pmtbednum is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 21:50:58.298885
Analysis finished2024-04-16 21:51:00.244891
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8340.4025
Minimum564
Maximum16079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T06:51:00.300520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum564
5-th percentile1362.95
Q14481.25
median8345.5
Q312213.25
95-th percentile15298.1
Maximum16079
Range15515
Interquartile range (IQR)7732

Descriptive statistics

Standard deviation4472.7085
Coefficient of variation (CV)0.5362701
Kurtosis-1.2038948
Mean8340.4025
Median Absolute Deviation (MAD)3867
Skewness-0.0023374407
Sum83404025
Variance20005121
MonotonicityNot monotonic
2024-04-17T06:51:00.408451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6923 1
 
< 0.1%
14960 1
 
< 0.1%
1731 1
 
< 0.1%
10169 1
 
< 0.1%
11187 1
 
< 0.1%
3233 1
 
< 0.1%
3754 1
 
< 0.1%
5505 1
 
< 0.1%
10528 1
 
< 0.1%
6292 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
564 1
< 0.1%
565 1
< 0.1%
567 1
< 0.1%
568 1
< 0.1%
569 1
< 0.1%
570 1
< 0.1%
571 1
< 0.1%
572 1
< 0.1%
575 1
< 0.1%
577 1
< 0.1%
ValueCountFrequency (%)
16079 1
< 0.1%
16078 1
< 0.1%
16077 1
< 0.1%
16076 1
< 0.1%
16074 1
< 0.1%
16072 1
< 0.1%
16071 1
< 0.1%
16070 1
< 0.1%
16068 1
< 0.1%
16067 1
< 0.1%

opnsfteamcode
Real number (ℝ)

SKEWED 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3328022
Minimum3250000
Maximum6260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T06:51:00.504905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3330000
Q33350000
95-th percentile3390000
Maximum6260000
Range3010000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation68573.885
Coefficient of variation (CV)0.020604998
Kurtosis1072.4449
Mean3328022
Median Absolute Deviation (MAD)30000
Skewness26.49679
Sum3.328022 × 1010
Variance4.7023778 × 109
MonotonicityNot monotonic
2024-04-17T06:51:00.586789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3290000 1323
13.2%
3350000 1177
11.8%
3330000 1105
11.1%
3340000 985
9.8%
3300000 753
7.5%
3310000 740
7.4%
3370000 587
 
5.9%
3320000 579
 
5.8%
3380000 544
 
5.4%
3390000 454
 
4.5%
Other values (12) 1753
17.5%
ValueCountFrequency (%)
3250000 296
 
3.0%
3260000 320
 
3.2%
3270000 332
 
3.3%
3280000 258
 
2.6%
3290000 1323
13.2%
3300000 753
7.5%
3310000 740
7.4%
3320000 579
5.8%
3330000 1105
11.1%
3340000 985
9.8%
ValueCountFrequency (%)
6260000 3
 
< 0.1%
5120000 1
 
< 0.1%
4820000 1
 
< 0.1%
4200000 1
 
< 0.1%
3780000 1
 
< 0.1%
3600000 1
 
< 0.1%
3400000 352
3.5%
3390000 454
4.5%
3380000 544
5.4%
3370000 587
5.9%

mgtno
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T06:51:00.748017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length24.9979
Min length18

Characters and Unicode

Total characters249979
Distinct characters16
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowPHMA120063350024041100022
2nd rowPHMD119773370022084000002
3rd rowPHMD120073340025084000014
4th rowPHMA120143310024041100012
5th rowPHMA120043340025041200006
ValueCountFrequency (%)
phma120063350024041100022 1
 
< 0.1%
phma119843330024041100001 1
 
< 0.1%
phmd120163300024084000007 1
 
< 0.1%
phma120103380023041100013 1
 
< 0.1%
phma120153270022041100005 1
 
< 0.1%
phmh320133320045087500001 1
 
< 0.1%
phmh320163360024087500009 1
 
< 0.1%
phma120103300024041100018 1
 
< 0.1%
phma120103310024041100019 1
 
< 0.1%
phmd119823350024084000008 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-17T06:51:01.034587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 81270
32.5%
1 31197
 
12.5%
2 26472
 
10.6%
3 24493
 
9.8%
4 17088
 
6.8%
H 11962
 
4.8%
P 9997
 
4.0%
M 9997
 
4.0%
8 7935
 
3.2%
5 7098
 
2.8%
Other values (6) 22470
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 209991
84.0%
Uppercase Letter 39988
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 81270
38.7%
1 31197
 
14.9%
2 26472
 
12.6%
3 24493
 
11.7%
4 17088
 
8.1%
8 7935
 
3.8%
5 7098
 
3.4%
9 6614
 
3.1%
7 5229
 
2.5%
6 2595
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
H 11962
29.9%
P 9997
25.0%
M 9997
25.0%
A 5344
13.4%
D 2657
 
6.6%
B 31
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 209991
84.0%
Latin 39988
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 81270
38.7%
1 31197
 
14.9%
2 26472
 
12.6%
3 24493
 
11.7%
4 17088
 
8.1%
8 7935
 
3.8%
5 7098
 
3.4%
9 6614
 
3.1%
7 5229
 
2.5%
6 2595
 
1.2%
Latin
ValueCountFrequency (%)
H 11962
29.9%
P 9997
25.0%
M 9997
25.0%
A 5344
13.4%
D 2657
 
6.6%
B 31
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 249979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 81270
32.5%
1 31197
 
12.5%
2 26472
 
10.6%
3 24493
 
9.8%
4 17088
 
6.8%
H 11962
 
4.8%
P 9997
 
4.0%
M 9997
 
4.0%
8 7935
 
3.2%
5 7098
 
2.8%
Other values (6) 22470
 
9.0%

opnsvcid
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
01_01_02_P
4979 
01_01_06_P
2657 
01_01_05_P
1965 
01_01_01_P
 
354
01_01_04_P
 
31
Other values (2)
 
14

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_02_P
2nd row01_01_06_P
3rd row01_01_06_P
4th row01_01_02_P
5th row01_01_02_P

Common Values

ValueCountFrequency (%)
01_01_02_P 4979
49.8%
01_01_06_P 2657
26.6%
01_01_05_P 1965
 
19.7%
01_01_01_P 354
 
3.5%
01_01_04_P 31
 
0.3%
01_01_03_P 11
 
0.1%
01_01_07_P 3
 
< 0.1%

Length

2024-04-17T06:51:01.141884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:51:01.219986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_02_p 4979
49.8%
01_01_06_p 2657
26.6%
01_01_05_p 1965
 
19.7%
01_01_01_p 354
 
3.5%
01_01_04_p 31
 
0.3%
01_01_03_p 11
 
0.1%
01_01_07_p 3
 
< 0.1%

updategbn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9985 
U
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 9985
99.9%
U 15
 
0.1%

Length

2024-04-17T06:51:01.337927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:51:01.425644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9985
99.9%
u 15
 
0.1%

updatedt
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2018-08-31 23:59:59.0
9972 
2018-09-06 11:42:31.0
 
10
2018-09-06 11:42:33.0
 
5
2018-10-18 02:35:26.0
 
4
2018-09-06 11:42:32.0
 
4
Other values (2)
 
5

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 9972
99.7%
2018-09-06 11:42:31.0 10
 
0.1%
2018-09-06 11:42:33.0 5
 
0.1%
2018-10-18 02:35:26.0 4
 
< 0.1%
2018-09-06 11:42:32.0 4
 
< 0.1%
2018-09-06 11:42:30.0 3
 
< 0.1%
2018-10-18 02:35:27.0 2
 
< 0.1%

Length

2024-04-17T06:51:01.498616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:51:01.577157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 9972
49.9%
23:59:59.0 9972
49.9%
2018-09-06 22
 
0.1%
11:42:31.0 10
 
< 0.1%
2018-10-18 6
 
< 0.1%
11:42:33.0 5
 
< 0.1%
02:35:26.0 4
 
< 0.1%
11:42:32.0 4
 
< 0.1%
11:42:30.0 3
 
< 0.1%
02:35:27.0 2
 
< 0.1%

opnsvcnm
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9994 
안전상비의약품 판매업소
 
4
약국
 
2

Length

Max length12
Median length4
Mean length4.0028
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9994
99.9%
안전상비의약품 판매업소 4
 
< 0.1%
약국 2
 
< 0.1%

Length

2024-04-17T06:51:01.676931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:51:01.772439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9994
99.9%
안전상비의약품 4
 
< 0.1%
판매업소 4
 
< 0.1%
약국 2
 
< 0.1%

bplcnm
Text

Distinct7741
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T06:51:02.004987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length7.2845
Min length2

Characters and Unicode

Total characters72845
Distinct characters683
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6694 ?
Unique (%)66.9%

Sample

1st row순산부인과의원
2nd row새대한약국
3rd row대진약국
4th row참그루한의원
5th row다대정내과의원
ValueCountFrequency (%)
gs25 252
 
2.1%
씨유 247
 
2.1%
세븐일레븐 193
 
1.6%
미니스톱 118
 
1.0%
cu 83
 
0.7%
주)코리아세븐 64
 
0.5%
약국 63
 
0.5%
의원 49
 
0.4%
한의원 48
 
0.4%
의료법인 46
 
0.4%
Other values (7899) 10663
90.2%
2024-04-17T06:51:02.354393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 5625
 
7.7%
의 5550
 
7.6%
과 2886
 
4.0%
국 2724
 
3.7%
약 2670
 
3.7%
점 1859
 
2.6%
1840
 
2.5%
한 1724
 
2.4%
치 1223
 
1.7%
부 1092
 
1.5%
Other values (673) 45652
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67339
92.4%
Space Separator 1840
 
2.5%
Uppercase Letter 1539
 
2.1%
Decimal Number 1463
 
2.0%
Close Punctuation 281
 
0.4%
Open Punctuation 266
 
0.4%
Lowercase Letter 69
 
0.1%
Other Punctuation 35
 
< 0.1%
Dash Punctuation 11
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 5625
 
8.4%
의 5550
 
8.2%
과 2886
 
4.3%
국 2724
 
4.0%
약 2670
 
4.0%
점 1859
 
2.8%
한 1724
 
2.6%
치 1223
 
1.8%
부 1092
 
1.6%
산 1044
 
1.6%
Other values (616) 40942
60.8%
Uppercase Letter
ValueCountFrequency (%)
S 580
37.7%
G 551
35.8%
C 135
 
8.8%
U 128
 
8.3%
K 23
 
1.5%
B 18
 
1.2%
L 16
 
1.0%
H 13
 
0.8%
N 10
 
0.6%
M 9
 
0.6%
Other values (15) 56
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 34
49.3%
i 7
 
10.1%
h 5
 
7.2%
c 4
 
5.8%
t 4
 
5.8%
m 3
 
4.3%
r 3
 
4.3%
u 3
 
4.3%
a 2
 
2.9%
b 1
 
1.4%
Other values (3) 3
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 697
47.6%
5 611
41.8%
4 53
 
3.6%
1 41
 
2.8%
3 23
 
1.6%
0 12
 
0.8%
6 11
 
0.8%
7 8
 
0.5%
9 4
 
0.3%
8 3
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 14
40.0%
& 11
31.4%
, 5
 
14.3%
· 5
 
14.3%
Space Separator
ValueCountFrequency (%)
1840
100.0%
Close Punctuation
ValueCountFrequency (%)
) 281
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67333
92.4%
Common 3896
 
5.3%
Latin 1608
 
2.2%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 5625
 
8.4%
의 5550
 
8.2%
과 2886
 
4.3%
국 2724
 
4.0%
약 2670
 
4.0%
점 1859
 
2.8%
한 1724
 
2.6%
치 1223
 
1.8%
부 1092
 
1.6%
산 1044
 
1.6%
Other values (611) 40936
60.8%
Latin
ValueCountFrequency (%)
S 580
36.1%
G 551
34.3%
C 135
 
8.4%
U 128
 
8.0%
e 34
 
2.1%
K 23
 
1.4%
B 18
 
1.1%
L 16
 
1.0%
H 13
 
0.8%
N 10
 
0.6%
Other values (28) 100
 
6.2%
Common
ValueCountFrequency (%)
1840
47.2%
2 697
 
17.9%
5 611
 
15.7%
) 281
 
7.2%
( 266
 
6.8%
4 53
 
1.4%
1 41
 
1.1%
3 23
 
0.6%
. 14
 
0.4%
0 12
 
0.3%
Other values (8) 58
 
1.5%
Han
ValueCountFrequency (%)
美 3
37.5%
林 1
 
12.5%
菊 1
 
12.5%
東 1
 
12.5%
韓 1
 
12.5%
安 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67330
92.4%
ASCII 5499
 
7.5%
CJK 8
 
< 0.1%
None 7
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 5625
 
8.4%
의 5550
 
8.2%
과 2886
 
4.3%
국 2724
 
4.0%
약 2670
 
4.0%
점 1859
 
2.8%
한 1724
 
2.6%
치 1223
 
1.8%
부 1092
 
1.6%
산 1044
 
1.6%
Other values (609) 40933
60.8%
ASCII
ValueCountFrequency (%)
1840
33.5%
2 697
 
12.7%
5 611
 
11.1%
S 580
 
10.5%
G 551
 
10.0%
) 281
 
5.1%
( 266
 
4.8%
C 135
 
2.5%
U 128
 
2.3%
4 53
 
1.0%
Other values (45) 357
 
6.5%
None
ValueCountFrequency (%)
· 5
71.4%
㈜ 2
 
28.6%
CJK
ValueCountFrequency (%)
美 3
37.5%
林 1
 
12.5%
菊 1
 
12.5%
東 1
 
12.5%
韓 1
 
12.5%
安 1
 
12.5%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

sitepostno
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3289
Missing (%)32.9%
Memory size156.2 KiB

sitewhladdr
Text

MISSING 

Distinct7567
Distinct (%)82.7%
Missing854
Missing (%)8.5%
Memory size156.2 KiB
2024-04-17T06:51:02.647167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length56
Mean length23.969932
Min length1

Characters and Unicode

Total characters219229
Distinct characters463
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6535 ?
Unique (%)71.5%

Sample

1st row부산광역시 금정구 구서2동 201번지 23호 (2-5층,8-9층)
2nd row부산광역시 연제구 연산7동 683-15번지 외1필지
3rd row부산광역시 사하구 하단2동 870번지 88호
4th row부산광역시 남구 문현동 405번지 5호
5th row부산광역시 사하구 다대1동 910번지
ValueCountFrequency (%)
부산광역시 8920
 
19.3%
부산진구 1222
 
2.6%
금정구 1171
 
2.5%
1호 1053
 
2.3%
사하구 943
 
2.0%
해운대구 932
 
2.0%
남구 676
 
1.5%
동래구 667
 
1.4%
연제구 530
 
1.1%
3호 528
 
1.1%
Other values (5051) 29568
64.0%
2024-04-17T06:51:03.078303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37181
 
17.0%
부 11308
 
5.2%
1 10933
 
5.0%
산 10923
 
5.0%
동 10245
 
4.7%
광 9274
 
4.2%
구 9150
 
4.2%
시 9081
 
4.1%
역 8997
 
4.1%
지 7562
 
3.4%
Other values (453) 94575
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131079
59.8%
Decimal Number 47648
 
21.7%
Space Separator 37181
 
17.0%
Dash Punctuation 1756
 
0.8%
Other Punctuation 514
 
0.2%
Open Punctuation 368
 
0.2%
Close Punctuation 368
 
0.2%
Uppercase Letter 205
 
0.1%
Math Symbol 70
 
< 0.1%
Lowercase Letter 38
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 11308
 
8.6%
산 10923
 
8.3%
동 10245
 
7.8%
광 9274
 
7.1%
구 9150
 
7.0%
시 9081
 
6.9%
역 8997
 
6.9%
지 7562
 
5.8%
호 7414
 
5.7%
번 7234
 
5.5%
Other values (392) 39891
30.4%
Uppercase Letter
ValueCountFrequency (%)
B 38
18.5%
A 34
16.6%
S 20
9.8%
G 15
 
7.3%
K 15
 
7.3%
F 13
 
6.3%
L 12
 
5.9%
C 9
 
4.4%
D 8
 
3.9%
U 5
 
2.4%
Other values (12) 36
17.6%
Lowercase Letter
ValueCountFrequency (%)
s 8
21.1%
i 6
15.8%
e 6
15.8%
a 4
10.5%
k 2
 
5.3%
q 2
 
5.3%
u 2
 
5.3%
r 2
 
5.3%
o 1
 
2.6%
c 1
 
2.6%
Other values (4) 4
10.5%
Decimal Number
ValueCountFrequency (%)
1 10933
22.9%
2 7440
15.6%
3 5590
11.7%
4 4523
9.5%
5 3978
 
8.3%
0 3297
 
6.9%
6 3257
 
6.8%
7 3206
 
6.7%
8 2821
 
5.9%
9 2603
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 472
91.8%
@ 25
 
4.9%
. 9
 
1.8%
/ 4
 
0.8%
· 4
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 366
99.5%
[ 2
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 366
99.5%
] 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 69
98.6%
∼ 1
 
1.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
37181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1756
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131079
59.8%
Common 87905
40.1%
Latin 245
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 11308
 
8.6%
산 10923
 
8.3%
동 10245
 
7.8%
광 9274
 
7.1%
구 9150
 
7.0%
시 9081
 
6.9%
역 8997
 
6.9%
지 7562
 
5.8%
호 7414
 
5.7%
번 7234
 
5.5%
Other values (392) 39891
30.4%
Latin
ValueCountFrequency (%)
B 38
15.5%
A 34
13.9%
S 20
 
8.2%
G 15
 
6.1%
K 15
 
6.1%
F 13
 
5.3%
L 12
 
4.9%
C 9
 
3.7%
D 8
 
3.3%
s 8
 
3.3%
Other values (28) 73
29.8%
Common
ValueCountFrequency (%)
37181
42.3%
1 10933
 
12.4%
2 7440
 
8.5%
3 5590
 
6.4%
4 4523
 
5.1%
5 3978
 
4.5%
0 3297
 
3.8%
6 3257
 
3.7%
7 3206
 
3.6%
8 2821
 
3.2%
Other values (13) 5679
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131076
59.8%
ASCII 88143
40.2%
None 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Number Forms 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37181
42.2%
1 10933
 
12.4%
2 7440
 
8.4%
3 5590
 
6.3%
4 4523
 
5.1%
5 3978
 
4.5%
0 3297
 
3.7%
6 3257
 
3.7%
7 3206
 
3.6%
8 2821
 
3.2%
Other values (47) 5917
 
6.7%
Hangul
ValueCountFrequency (%)
부 11308
 
8.6%
산 10923
 
8.3%
동 10245
 
7.8%
광 9274
 
7.1%
구 9150
 
7.0%
시 9081
 
6.9%
역 8997
 
6.9%
지 7562
 
5.8%
호 7414
 
5.7%
번 7234
 
5.5%
Other values (389) 39888
30.4%
None
ValueCountFrequency (%)
· 4
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅏ 1
33.3%
ㅇ 1
33.3%
ㅓ 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

rdnpostno
Real number (ℝ)

MISSING 

Distinct1869
Distinct (%)23.9%
Missing2193
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean139773.33
Minimum13246
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T06:51:03.192538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13246
5-th percentile46230
Q147247
median48075
Q349228
95-th percentile614805
Maximum619963
Range606717
Interquartile range (IQR)1981

Descriptive statistics

Standard deviation208246.58
Coefficient of variation (CV)1.4898878
Kurtosis1.3220414
Mean139773.33
Median Absolute Deviation (MAD)948
Skewness1.822247
Sum1.0912104 × 109
Variance4.3366639 × 1010
MonotonicityNot monotonic
2024-04-17T06:51:03.300293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47286 63
 
0.6%
47257 60
 
0.6%
48060 57
 
0.6%
46015 49
 
0.5%
46576 45
 
0.4%
48095 45
 
0.4%
46526 44
 
0.4%
46726 41
 
0.4%
47285 40
 
0.4%
46548 35
 
0.4%
Other values (1859) 7328
73.3%
(Missing) 2193
 
21.9%
ValueCountFrequency (%)
13246 1
 
< 0.1%
25447 1
 
< 0.1%
36917 1
 
< 0.1%
46002 3
 
< 0.1%
46006 1
 
< 0.1%
46007 4
 
< 0.1%
46008 14
 
0.1%
46012 4
 
< 0.1%
46013 6
 
0.1%
46015 49
0.5%
ValueCountFrequency (%)
619963 16
0.2%
619962 3
 
< 0.1%
619961 2
 
< 0.1%
619953 3
 
< 0.1%
619952 6
 
0.1%
619951 2
 
< 0.1%
619950 1
 
< 0.1%
619913 2
 
< 0.1%
619912 4
 
< 0.1%
619911 2
 
< 0.1%

rdnwhladdr
Text

MISSING 

Distinct7471
Distinct (%)82.0%
Missing890
Missing (%)8.9%
Memory size156.2 KiB
2024-04-17T06:51:03.610227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length58
Mean length28.308233
Min length13

Characters and Unicode

Total characters257888
Distinct characters538
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6397 ?
Unique (%)70.2%

Sample

1st row부산광역시 금정구 중앙대로 1897 (구서동,(2-5층,8-9층))
2nd row부산광역시 연제구 월드컵대로 14-1 (연산동)
3rd row부산광역시 사하구 낙동남로 1361 (하단동)
4th row부산광역시 남구 수영로 21 (문현동)
5th row부산광역시 사하구 다대로 547 (다대동)
ValueCountFrequency (%)
부산광역시 9104
 
17.7%
부산진구 1180
 
2.3%
금정구 1068
 
2.1%
해운대구 1010
 
2.0%
사하구 863
 
1.7%
동래구 716
 
1.4%
남구 570
 
1.1%
1층 569
 
1.1%
중앙대로 565
 
1.1%
북구 557
 
1.1%
Other values (5063) 35300
68.5%
2024-04-17T06:51:04.019458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42413
 
16.4%
부 11493
 
4.5%
동 11485
 
4.5%
산 11194
 
4.3%
광 9606
 
3.7%
시 9530
 
3.7%
구 9371
 
3.6%
역 9110
 
3.5%
로 9058
 
3.5%
) 8932
 
3.5%
Other values (528) 125696
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153295
59.4%
Space Separator 42413
 
16.4%
Decimal Number 37330
 
14.5%
Close Punctuation 8933
 
3.5%
Open Punctuation 8932
 
3.5%
Other Punctuation 5484
 
2.1%
Dash Punctuation 1006
 
0.4%
Uppercase Letter 288
 
0.1%
Math Symbol 140
 
0.1%
Lowercase Letter 63
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 11493
 
7.5%
동 11485
 
7.5%
산 11194
 
7.3%
광 9606
 
6.3%
시 9530
 
6.2%
구 9371
 
6.1%
역 9110
 
5.9%
로 9058
 
5.9%
대 4882
 
3.2%
층 2576
 
1.7%
Other values (465) 64990
42.4%
Uppercase Letter
ValueCountFrequency (%)
B 54
18.8%
S 35
12.2%
A 33
11.5%
C 21
 
7.3%
K 19
 
6.6%
G 19
 
6.6%
L 14
 
4.9%
M 11
 
3.8%
I 11
 
3.8%
E 11
 
3.8%
Other values (14) 60
20.8%
Lowercase Letter
ValueCountFrequency (%)
e 15
23.8%
s 10
15.9%
i 7
11.1%
a 7
11.1%
r 5
 
7.9%
u 4
 
6.3%
q 4
 
6.3%
v 2
 
3.2%
o 2
 
3.2%
c 1
 
1.6%
Other values (6) 6
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 8521
22.8%
2 5778
15.5%
3 4127
11.1%
0 3490
9.3%
4 3349
 
9.0%
5 2919
 
7.8%
7 2463
 
6.6%
6 2437
 
6.5%
8 2127
 
5.7%
9 2119
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 5443
99.3%
. 26
 
0.5%
@ 10
 
0.2%
· 5
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 8932
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 8931
> 99.9%
[ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 139
99.3%
∼ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
42413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1006
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153295
59.4%
Common 104238
40.4%
Latin 355
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 11493
 
7.5%
동 11485
 
7.5%
산 11194
 
7.3%
광 9606
 
6.3%
시 9530
 
6.2%
구 9371
 
6.1%
역 9110
 
5.9%
로 9058
 
5.9%
대 4882
 
3.2%
층 2576
 
1.7%
Other values (465) 64990
42.4%
Latin
ValueCountFrequency (%)
B 54
15.2%
S 35
 
9.9%
A 33
 
9.3%
C 21
 
5.9%
K 19
 
5.4%
G 19
 
5.4%
e 15
 
4.2%
L 14
 
3.9%
M 11
 
3.1%
I 11
 
3.1%
Other values (31) 123
34.6%
Common
ValueCountFrequency (%)
42413
40.7%
) 8932
 
8.6%
( 8931
 
8.6%
1 8521
 
8.2%
2 5778
 
5.5%
, 5443
 
5.2%
3 4127
 
4.0%
0 3490
 
3.3%
4 3349
 
3.2%
5 2919
 
2.8%
Other values (12) 10335
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153295
59.4%
ASCII 104583
40.6%
None 5
 
< 0.1%
Number Forms 4
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42413
40.6%
) 8932
 
8.5%
( 8931
 
8.5%
1 8521
 
8.1%
2 5778
 
5.5%
, 5443
 
5.2%
3 4127
 
3.9%
0 3490
 
3.3%
4 3349
 
3.2%
5 2919
 
2.8%
Other values (50) 10680
 
10.2%
Hangul
ValueCountFrequency (%)
부 11493
 
7.5%
동 11485
 
7.5%
산 11194
 
7.3%
광 9606
 
6.3%
시 9530
 
6.2%
구 9371
 
6.1%
역 9110
 
5.9%
로 9058
 
5.9%
대 4882
 
3.2%
층 2576
 
1.7%
Other values (465) 64990
42.4%
None
ValueCountFrequency (%)
· 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

apvpermymd
Real number (ℝ)

Distinct5264
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20054882
Minimum19570101
Maximum20181017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T06:51:04.133911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19570101
5-th percentile19820630
Q120001228
median20090601
Q320131224
95-th percentile20170927
Maximum20181017
Range610916
Interquartile range (IQR)129996.5

Descriptive statistics

Standard deviation111703.05
Coefficient of variation (CV)0.0055698682
Kurtosis1.2938632
Mean20054882
Median Absolute Deviation (MAD)59911.5
Skewness-1.2992067
Sum2.0054882 × 1011
Variance1.2477571 × 1010
MonotonicityNot monotonic
2024-04-17T06:51:04.467483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121112 109
 
1.1%
20121109 88
 
0.9%
20121115 78
 
0.8%
20121114 75
 
0.8%
20121116 69
 
0.7%
20121113 69
 
0.7%
20121108 49
 
0.5%
20121107 34
 
0.3%
20121106 23
 
0.2%
20121105 14
 
0.1%
Other values (5254) 9392
93.9%
ValueCountFrequency (%)
19570101 1
< 0.1%
19590110 1
< 0.1%
19590207 1
< 0.1%
19600101 1
< 0.1%
19610316 1
< 0.1%
19611220 1
< 0.1%
19620310 1
< 0.1%
19620313 1
< 0.1%
19620924 1
< 0.1%
19620928 1
< 0.1%
ValueCountFrequency (%)
20181017 1
 
< 0.1%
20181016 5
0.1%
20180904 1
 
< 0.1%
20180903 6
0.1%
20180831 1
 
< 0.1%
20180830 3
< 0.1%
20180829 4
< 0.1%
20180828 2
 
< 0.1%
20180827 2
 
< 0.1%
20180824 1
 
< 0.1%

dcbymd
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5772
Missing (%)57.7%
Memory size156.2 KiB

clgstdt
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)100.0%
Missing9934
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20131215
Minimum20020101
Maximum20180829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T06:51:04.575473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020101
5-th percentile20083368
Q120100529
median20125624
Q320170326
95-th percentile20180682
Maximum20180829
Range160728
Interquartile range (IQR)69796.5

Descriptive statistics

Standard deviation37009.505
Coefficient of variation (CV)0.0018384139
Kurtosis-0.53215287
Mean20131215
Median Absolute Deviation (MAD)34761
Skewness-0.20767664
Sum1.3286602 × 109
Variance1.3697035 × 109
MonotonicityNot monotonic
2024-04-17T06:51:04.684604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090120 1
 
< 0.1%
20140115 1
 
< 0.1%
20140914 1
 
< 0.1%
20140811 1
 
< 0.1%
20160531 1
 
< 0.1%
20081118 1
 
< 0.1%
20130227 1
 
< 0.1%
20121001 1
 
< 0.1%
20170331 1
 
< 0.1%
20110704 1
 
< 0.1%
Other values (56) 56
 
0.6%
(Missing) 9934
99.3%
ValueCountFrequency (%)
20020101 1
< 0.1%
20080801 1
< 0.1%
20080904 1
< 0.1%
20081118 1
< 0.1%
20090120 1
< 0.1%
20090201 1
< 0.1%
20090225 1
< 0.1%
20090615 1
< 0.1%
20090824 1
< 0.1%
20090901 1
< 0.1%
ValueCountFrequency (%)
20180829 1
< 0.1%
20180723 1
< 0.1%
20180703 1
< 0.1%
20180701 1
< 0.1%
20180626 1
< 0.1%
20180616 1
< 0.1%
20180528 1
< 0.1%
20180420 1
< 0.1%
20180417 1
< 0.1%
20180201 1
< 0.1%

clgenddt
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)93.9%
Missing9934
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean22554953
Minimum20020101
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T06:51:04.800103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020101
5-th percentile20090571
Q120101008
median20135728
Q320170886
95-th percentile20190198
Maximum99991231
Range79971130
Interquartile range (IQR)69877.25

Descriptive statistics

Standard deviation13793866
Coefficient of variation (CV)0.61156705
Kurtosis30.373054
Mean22554953
Median Absolute Deviation (MAD)34820
Skewness5.6082889
Sum1.4886269 × 109
Variance1.9027074 × 1014
MonotonicityNot monotonic
2024-04-17T06:51:04.934129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121231 3
 
< 0.1%
20170531 2
 
< 0.1%
20170131 2
 
< 0.1%
20080731 1
 
< 0.1%
20100521 1
 
< 0.1%
20140415 1
 
< 0.1%
20141031 1
 
< 0.1%
20150831 1
 
< 0.1%
20090518 1
 
< 0.1%
20140226 1
 
< 0.1%
Other values (52) 52
 
0.5%
(Missing) 9934
99.3%
ValueCountFrequency (%)
20020101 1
< 0.1%
20080731 1
< 0.1%
20090331 1
< 0.1%
20090518 1
< 0.1%
20090730 1
< 0.1%
20091031 1
< 0.1%
20091231 1
< 0.1%
20100201 1
< 0.1%
20100224 1
< 0.1%
20100228 1
< 0.1%
ValueCountFrequency (%)
99991231 1
< 0.1%
99991111 1
< 0.1%
20190630 1
< 0.1%
20190221 1
< 0.1%
20190131 1
< 0.1%
20190102 1
< 0.1%
20181130 1
< 0.1%
20181125 1
< 0.1%
20181031 1
< 0.1%
20181016 1
< 0.1%

ropnymd
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:05.047174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row재개업일자
ValueCountFrequency (%)
재개업일자 1
100.0%
2024-04-17T06:51:05.229502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
재 1
20.0%
개 1
20.0%
업 1
20.0%
일 1
20.0%
자 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 1
20.0%
개 1
20.0%
업 1
20.0%
일 1
20.0%
자 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 1
20.0%
개 1
20.0%
업 1
20.0%
일 1
20.0%
자 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
재 1
20.0%
개 1
20.0%
업 1
20.0%
일 1
20.0%
자 1
20.0%

trdstatenm
Unsupported

REJECTED  UNSUPPORTED 

Missing5
Missing (%)< 0.1%
Memory size156.2 KiB

dtlstatenm
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업중
5626 
폐업
4331 
직권폐업
 
27
휴업
 
13
<NA>
 
3

Length

Max length4
Median length3
Mean length2.5686
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row영업중
5th row영업중

Common Values

ValueCountFrequency (%)
영업중 5626
56.3%
폐업 4331
43.3%
직권폐업 27
 
0.3%
휴업 13
 
0.1%
<NA> 3
 
< 0.1%

Length

2024-04-17T06:51:05.333301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:51:05.429334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 5626
56.3%
폐업 4331
43.3%
직권폐업 27
 
0.3%
휴업 13
 
0.1%
na 3
 
< 0.1%

x
Real number (ℝ)

MISSING 

Distinct5285
Distinct (%)57.9%
Missing875
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean388178.49
Minimum187216.74
Maximum407581.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T06:51:05.522491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187216.74
5-th percentile379628.54
Q1384352.91
median388764.42
Q3391553.66
95-th percentile398143.16
Maximum407581.08
Range220364.35
Interquartile range (IQR)7200.7518

Descriptive statistics

Standard deviation6790.8471
Coefficient of variation (CV)0.017494136
Kurtosis212.42446
Mean388178.49
Median Absolute Deviation (MAD)3447.6286
Skewness-8.0734249
Sum3.5421287 × 109
Variance46115605
MonotonicityNot monotonic
2024-04-17T06:51:05.625944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387537.525975 22
 
0.2%
387475.894546 19
 
0.2%
398310.243451 16
 
0.2%
394179.058785 15
 
0.1%
398226.822818 15
 
0.1%
389193.047711 14
 
0.1%
398401.454439 14
 
0.1%
389565.428128 13
 
0.1%
398207.440468 13
 
0.1%
383278.656928 13
 
0.1%
Other values (5275) 8971
89.7%
(Missing) 875
 
8.8%
ValueCountFrequency (%)
187216.73647 1
< 0.1%
204412.090101 1
< 0.1%
212973.223657615 1
< 0.1%
249634.039189 1
< 0.1%
298905.597798326 1
< 0.1%
363374.221404137 1
< 0.1%
366851.651911 2
< 0.1%
366871.978797 1
< 0.1%
367000.987237 1
< 0.1%
367134.0 1
< 0.1%
ValueCountFrequency (%)
407581.083119 3
< 0.1%
407515.749132 3
< 0.1%
407492.694304 1
 
< 0.1%
407472.279312 1
 
< 0.1%
407369.530548 1
 
< 0.1%
407209.258171 1
 
< 0.1%
407126.309068 1
 
< 0.1%
405468.503509 3
< 0.1%
405416.668261 2
< 0.1%
404140.924328 2
< 0.1%

y
Real number (ℝ)

MISSING 

Distinct5283
Distinct (%)57.9%
Missing875
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean187857.65
Minimum159865.53
Maximum474693.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T06:51:05.727399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159865.53
5-th percentile178447.22
Q1183803.94
median187498.11
Q3191807.96
95-th percentile197677.32
Maximum474693.3
Range314827.77
Interquartile range (IQR)8004.016

Descriptive statistics

Standard deviation7952.1406
Coefficient of variation (CV)0.042330671
Kurtosis434.53243
Mean187857.65
Median Absolute Deviation (MAD)4140.2031
Skewness13.474605
Sum1.7142011 × 109
Variance63236540
MonotonicityNot monotonic
2024-04-17T06:51:05.830570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186476.330395 22
 
0.2%
186570.418307 19
 
0.2%
188031.67198 16
 
0.2%
187825.814573 15
 
0.1%
187989.753665 15
 
0.1%
191850.435201 14
 
0.1%
188080.4441 14
 
0.1%
189797.541402 13
 
0.1%
188174.016538 13
 
0.1%
194933.998572 13
 
0.1%
Other values (5273) 8971
89.7%
(Missing) 875
 
8.8%
ValueCountFrequency (%)
159865.533264 1
 
< 0.1%
170014.453769 1
 
< 0.1%
174205.541619 1
 
< 0.1%
174237.045871 1
 
< 0.1%
174251.931196 1
 
< 0.1%
174292.594164 2
< 0.1%
174396.378069 3
< 0.1%
174404.947794 1
 
< 0.1%
174413.752458 3
< 0.1%
174415.392886 2
< 0.1%
ValueCountFrequency (%)
474693.298907895 1
 
< 0.1%
445110.286986 1
 
< 0.1%
437595.180855679 1
 
< 0.1%
359925.060602723 1
 
< 0.1%
211392.6938 2
 
< 0.1%
208906.876551 1
 
< 0.1%
207362.005561 1
 
< 0.1%
206576.725149 1
 
< 0.1%
206494.685696 1
 
< 0.1%
206426.679067 5
0.1%

lastmodts
Real number (ℝ)

Distinct8035
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0149249 × 1013
Minimum2.0081008 × 1013
Maximum2.0181016 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T06:51:05.939863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081008 × 1013
5-th percentile2.0090202 × 1013
Q12.0130529 × 1013
median2.0160707 × 1013
Q32.0170905 × 1013
95-th percentile2.0180704 × 1013
Maximum2.0181016 × 1013
Range1.0000802 × 1011
Interquartile range (IQR)4.0376029 × 1010

Descriptive statistics

Standard deviation2.9230757 × 1010
Coefficient of variation (CV)0.001450712
Kurtosis-0.53779122
Mean2.0149249 × 1013
Median Absolute Deviation (MAD)1.9609527 × 1010
Skewness-0.80944328
Sum2.0149249 × 1017
Variance8.5443718 × 1020
MonotonicityNot monotonic
2024-04-17T06:51:06.052942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170905183844 208
 
2.1%
20170905183851 190
 
1.9%
20170905183850 183
 
1.8%
20170905183853 165
 
1.7%
20170905183849 152
 
1.5%
20170905183852 132
 
1.3%
20170905183843 119
 
1.2%
20170905183848 113
 
1.1%
20170905183859 84
 
0.8%
20170905183858 60
 
0.6%
Other values (8025) 8594
85.9%
ValueCountFrequency (%)
20081008160928 1
< 0.1%
20081020092224 1
< 0.1%
20081022163931 1
< 0.1%
20081111113351 1
< 0.1%
20081117091658 1
< 0.1%
20081117094150 1
< 0.1%
20081118094507 1
< 0.1%
20081126101537 1
< 0.1%
20081126154442 1
< 0.1%
20081126154559 1
< 0.1%
ValueCountFrequency (%)
20181016185445 1
< 0.1%
20181016175532 1
< 0.1%
20181016174307 1
< 0.1%
20181016173009 1
< 0.1%
20181016145549 1
< 0.1%
20181016140424 1
< 0.1%
20180904181338 1
< 0.1%
20180904180453 1
< 0.1%
20180904174554 1
< 0.1%
20180904174523 1
< 0.1%

uptaenm
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4666 
의원
2619 
한의원
1187 
치과의원
1134 
요양병원(일반요양병원)
 
160
Other values (10)
 
234

Length

Max length12
Median length4
Mean length3.4623
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row의원
2nd row<NA>
3rd row<NA>
4th row한의원
5th row의원

Common Values

ValueCountFrequency (%)
<NA> 4666
46.7%
의원 2619
26.2%
한의원 1187
 
11.9%
치과의원 1134
 
11.3%
요양병원(일반요양병원) 160
 
1.6%
병원 136
 
1.4%
치과병원 19
 
0.2%
조산원 17
 
0.2%
종합병원 15
 
0.1%
한방병원 13
 
0.1%
Other values (5) 34
 
0.3%

Length

2024-04-17T06:51:06.155755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4666
46.7%
의원 2619
26.2%
한의원 1187
 
11.9%
치과의원 1134
 
11.3%
요양병원(일반요양병원 160
 
1.6%
병원 136
 
1.4%
치과병원 19
 
0.2%
조산원 17
 
0.2%
종합병원 15
 
0.1%
한방병원 13
 
0.1%
Other values (5) 34
 
0.3%

sitetel
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
051-123-1234
10000 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-123-1234
2nd row051-123-1234
3rd row051-123-1234
4th row051-123-1234
5th row051-123-1234

Common Values

ValueCountFrequency (%)
051-123-1234 10000
100.0%

Length

2024-04-17T06:51:06.244267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:51:06.311531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-123-1234 10000
100.0%

nursecnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9970
Missing (%)99.7%
Memory size156.2 KiB

nursaidcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9970
Missing (%)99.7%
Memory size156.2 KiB

bdnglayercnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9972
Missing (%)99.7%
Memory size156.2 KiB

emercargen
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5972
Missing (%)59.7%
Memory size156.2 KiB

emercarspec
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5972
Missing (%)59.7%
Memory size156.2 KiB

rescnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB

pomfacilar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9983
Missing (%)99.8%
Memory size156.2 KiB

etcstfcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9991
Missing (%)99.9%
Memory size156.2 KiB

etcepcnt
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:06.393931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타종업원수
ValueCountFrequency (%)
기타종업원수 1
100.0%
2024-04-17T06:51:06.609180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
16.7%
타 1
16.7%
종 1
16.7%
업 1
16.7%
원 1
16.7%
수 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
16.7%
타 1
16.7%
종 1
16.7%
업 1
16.7%
원 1
16.7%
수 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
16.7%
타 1
16.7%
종 1
16.7%
업 1
16.7%
원 1
16.7%
수 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
16.7%
타 1
16.7%
종 1
16.7%
업 1
16.7%
원 1
16.7%
수 1
16.7%

mmknurmar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9978
Missing (%)99.8%
Memory size156.2 KiB

btrmar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9986
Missing (%)99.9%
Memory size156.2 KiB

btpnum
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9984
Missing (%)99.8%
Memory size156.2 KiB

sicbnum
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5970
Missing (%)59.7%
Memory size156.2 KiB

astnepnum
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:06.730241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row보조종업원수
ValueCountFrequency (%)
보조종업원수 1
100.0%
2024-04-17T06:51:06.927308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 1
16.7%
조 1
16.7%
종 1
16.7%
업 1
16.7%
원 1
16.7%
수 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 1
16.7%
조 1
16.7%
종 1
16.7%
업 1
16.7%
원 1
16.7%
수 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 1
16.7%
조 1
16.7%
종 1
16.7%
업 1
16.7%
원 1
16.7%
수 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 1
16.7%
조 1
16.7%
종 1
16.7%
업 1
16.7%
원 1
16.7%
수 1
16.7%

ofear
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9982
Missing (%)99.8%
Memory size156.2 KiB

warmar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9983
Missing (%)99.8%
Memory size156.2 KiB

facilmngnum
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:07.032968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row시설관리자수
ValueCountFrequency (%)
시설관리자수 1
100.0%
2024-04-17T06:51:07.230443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1
16.7%
설 1
16.7%
관 1
16.7%
리 1
16.7%
자 1
16.7%
수 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1
16.7%
설 1
16.7%
관 1
16.7%
리 1
16.7%
자 1
16.7%
수 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1
16.7%
설 1
16.7%
관 1
16.7%
리 1
16.7%
자 1
16.7%
수 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1
16.7%
설 1
16.7%
관 1
16.7%
리 1
16.7%
자 1
16.7%
수 1
16.7%

pharmtrdar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7344
Missing (%)73.4%
Memory size156.2 KiB

nutrcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9989
Missing (%)99.9%
Memory size156.2 KiB

bbrmar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9971
Missing (%)99.7%
Memory size156.2 KiB

babyrglstnum
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9968
Missing (%)99.7%
Memory size156.2 KiB

mitmdcdepnm
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:07.354939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row완화의료담당부서명
ValueCountFrequency (%)
완화의료담당부서명 1
100.0%
2024-04-17T06:51:07.570896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
완 1
11.1%
화 1
11.1%
의 1
11.1%
료 1
11.1%
담 1
11.1%
당 1
11.1%
부 1
11.1%
서 1
11.1%
명 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
완 1
11.1%
화 1
11.1%
의 1
11.1%
료 1
11.1%
담 1
11.1%
당 1
11.1%
부 1
11.1%
서 1
11.1%
명 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
완 1
11.1%
화 1
11.1%
의 1
11.1%
료 1
11.1%
담 1
11.1%
당 1
11.1%
부 1
11.1%
서 1
11.1%
명 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
완 1
11.1%
화 1
11.1%
의 1
11.1%
료 1
11.1%
담 1
11.1%
당 1
11.1%
부 1
11.1%
서 1
11.1%
명 1
11.1%

mitmdcasgntype
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:07.690694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row완화의료지정형태
ValueCountFrequency (%)
완화의료지정형태 1
100.0%
2024-04-17T06:51:07.917155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
완 1
12.5%
화 1
12.5%
의 1
12.5%
료 1
12.5%
지 1
12.5%
정 1
12.5%
형 1
12.5%
태 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
완 1
12.5%
화 1
12.5%
의 1
12.5%
료 1
12.5%
지 1
12.5%
정 1
12.5%
형 1
12.5%
태 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
완 1
12.5%
화 1
12.5%
의 1
12.5%
료 1
12.5%
지 1
12.5%
정 1
12.5%
형 1
12.5%
태 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
완 1
12.5%
화 1
12.5%
의 1
12.5%
료 1
12.5%
지 1
12.5%
정 1
12.5%
형 1
12.5%
태 1
12.5%

batrar
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:08.009670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row욕실면적
ValueCountFrequency (%)
욕실면적 1
100.0%
2024-04-17T06:51:08.207075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
욕 1
25.0%
실 1
25.0%
면 1
25.0%
적 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
욕 1
25.0%
실 1
25.0%
면 1
25.0%
적 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
욕 1
25.0%
실 1
25.0%
면 1
25.0%
적 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
욕 1
25.0%
실 1
25.0%
면 1
25.0%
적 1
25.0%

metrorgassrnm
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5973 
의원
1953 
한의원
848 
치과의원
843 
요양병원(일반요양병원)
 
160
Other values (13)
 
223

Length

Max length12
Median length4
Mean length3.6304
Min length2

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row한의원
5th row의원

Common Values

ValueCountFrequency (%)
<NA> 5973
59.7%
의원 1953
 
19.5%
한의원 848
 
8.5%
치과의원 843
 
8.4%
요양병원(일반요양병원) 160
 
1.6%
병원 136
 
1.4%
치과병원 19
 
0.2%
종합병원 15
 
0.1%
한방병원 13
 
0.1%
요양병원(정신병원) 11
 
0.1%
Other values (8) 29
 
0.3%

Length

2024-04-17T06:51:08.314326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5973
59.7%
의원 1953
 
19.5%
한의원 848
 
8.5%
치과의원 843
 
8.4%
요양병원(일반요양병원 160
 
1.6%
병원 136
 
1.4%
치과병원 19
 
0.2%
종합병원 15
 
0.1%
한방병원 13
 
0.1%
요양병원(정신병원 11
 
0.1%
Other values (8) 29
 
0.3%

metrbosassrnm
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:08.426410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row의료유사업종별명
ValueCountFrequency (%)
의료유사업종별명 1
100.0%
2024-04-17T06:51:08.632480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 1
12.5%
료 1
12.5%
유 1
12.5%
사 1
12.5%
업 1
12.5%
종 1
12.5%
별 1
12.5%
명 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1
12.5%
료 1
12.5%
유 1
12.5%
사 1
12.5%
업 1
12.5%
종 1
12.5%
별 1
12.5%
명 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1
12.5%
료 1
12.5%
유 1
12.5%
사 1
12.5%
업 1
12.5%
종 1
12.5%
별 1
12.5%
명 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 1
12.5%
료 1
12.5%
유 1
12.5%
사 1
12.5%
업 1
12.5%
종 1
12.5%
별 1
12.5%
명 1
12.5%

metrpnum
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5973
Missing (%)59.7%
Memory size156.2 KiB

pgrmar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9972
Missing (%)99.7%
Memory size156.2 KiB

pwnmrglstnum
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9968
Missing (%)99.7%
Memory size156.2 KiB

hstrmnum
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5970
Missing (%)59.7%
Memory size156.2 KiB

qutnownernum
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:08.740523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row자격증소유자수
ValueCountFrequency (%)
자격증소유자수 1
100.0%
2024-04-17T06:51:08.930119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 2
28.6%
격 1
14.3%
증 1
14.3%
소 1
14.3%
유 1
14.3%
수 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 2
28.6%
격 1
14.3%
증 1
14.3%
소 1
14.3%
유 1
14.3%
수 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 2
28.6%
격 1
14.3%
증 1
14.3%
소 1
14.3%
유 1
14.3%
수 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 2
28.6%
격 1
14.3%
증 1
14.3%
소 1
14.3%
유 1
14.3%
수 1
14.3%

joriwontoilar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9982
Missing (%)99.8%
Memory size156.2 KiB

epcnt
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:09.029620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row종업원수
ValueCountFrequency (%)
종업원수 1
100.0%
2024-04-17T06:51:09.207749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
종 1
25.0%
업 1
25.0%
원 1
25.0%
수 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 1
25.0%
업 1
25.0%
원 1
25.0%
수 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 1
25.0%
업 1
25.0%
원 1
25.0%
수 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
종 1
25.0%
업 1
25.0%
원 1
25.0%
수 1
25.0%

jisgnumlay
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9977
Missing (%)99.8%
Memory size156.2 KiB

asgnymd
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7342
Missing (%)73.4%
Memory size156.2 KiB

asgncancelymd
Text

MISSING 

Distinct197
Distinct (%)55.5%
Missing9645
Missing (%)96.5%
Memory size156.2 KiB
2024-04-17T06:51:09.408638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9943662
Min length6

Characters and Unicode

Total characters2838
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)40.0%

Sample

1st row20180808
2nd row20180809
3rd row20180724
4th row20180419
5th row20180612
ValueCountFrequency (%)
20170905 31
 
8.7%
20180808 12
 
3.4%
20180724 10
 
2.8%
20180831 9
 
2.5%
20180813 6
 
1.7%
20180619 5
 
1.4%
20180316 5
 
1.4%
20180713 5
 
1.4%
20180810 5
 
1.4%
20130221 5
 
1.4%
Other values (187) 262
73.8%
2024-04-17T06:51:09.729372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 846
29.8%
1 557
19.6%
2 532
18.7%
8 319
 
11.2%
7 130
 
4.6%
5 108
 
3.8%
3 107
 
3.8%
9 80
 
2.8%
4 77
 
2.7%
6 76
 
2.7%
Other values (6) 6
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2832
99.8%
Other Letter 6
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 846
29.9%
1 557
19.7%
2 532
18.8%
8 319
 
11.3%
7 130
 
4.6%
5 108
 
3.8%
3 107
 
3.8%
9 80
 
2.8%
4 77
 
2.7%
6 76
 
2.7%
Other Letter
ValueCountFrequency (%)
지 1
16.7%
정 1
16.7%
취 1
16.7%
소 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 2832
99.8%
Hangul 6
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 846
29.9%
1 557
19.7%
2 532
18.8%
8 319
 
11.3%
7 130
 
4.6%
5 108
 
3.8%
3 107
 
3.8%
9 80
 
2.8%
4 77
 
2.7%
6 76
 
2.7%
Hangul
ValueCountFrequency (%)
지 1
16.7%
정 1
16.7%
취 1
16.7%
소 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2832
99.8%
Hangul 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 846
29.9%
1 557
19.7%
2 532
18.8%
8 319
 
11.3%
7 130
 
4.6%
5 108
 
3.8%
3 107
 
3.8%
9 80
 
2.8%
4 77
 
2.7%
6 76
 
2.7%
Hangul
ValueCountFrequency (%)
지 1
16.7%
정 1
16.7%
취 1
16.7%
소 1
16.7%
일 1
16.7%
자 1
16.7%

undernumlay
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9990
Missing (%)99.9%
Memory size156.2 KiB

medextritemscn
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:09.848194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row진료과목내용
ValueCountFrequency (%)
진료과목내용 1
100.0%
2024-04-17T06:51:10.035290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
진 1
16.7%
료 1
16.7%
과 1
16.7%
목 1
16.7%
내 1
16.7%
용 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 1
16.7%
료 1
16.7%
과 1
16.7%
목 1
16.7%
내 1
16.7%
용 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 1
16.7%
료 1
16.7%
과 1
16.7%
목 1
16.7%
내 1
16.7%
용 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
진 1
16.7%
료 1
16.7%
과 1
16.7%
목 1
16.7%
내 1
16.7%
용 1
16.7%

medextritemscnnm
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:10.139103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row진료과목내용명
ValueCountFrequency (%)
진료과목내용명 1
100.0%
2024-04-17T06:51:10.329042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
진 1
14.3%
료 1
14.3%
과 1
14.3%
목 1
14.3%
내 1
14.3%
용 1
14.3%
명 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 1
14.3%
료 1
14.3%
과 1
14.3%
목 1
14.3%
내 1
14.3%
용 1
14.3%
명 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 1
14.3%
료 1
14.3%
과 1
14.3%
목 1
14.3%
내 1
14.3%
용 1
14.3%
명 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
진 1
14.3%
료 1
14.3%
과 1
14.3%
목 1
14.3%
내 1
14.3%
용 1
14.3%
명 1
14.3%

totar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5970
Missing (%)59.7%
Memory size156.2 KiB

totepnum
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:10.414029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row총인원
ValueCountFrequency (%)
총인원 1
100.0%
2024-04-17T06:51:10.590764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
총 1
33.3%
인 1
33.3%
원 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
총 1
33.3%
인 1
33.3%
원 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
총 1
33.3%
인 1
33.3%
원 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
총 1
33.3%
인 1
33.3%
원 1
33.3%

frstasgnymd
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T06:51:10.735239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row최초지정일자
ValueCountFrequency (%)
최초지정일자 1
100.0%
2024-04-17T06:51:10.922407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
최 1
16.7%
초 1
16.7%
지 1
16.7%
정 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
최 1
16.7%
초 1
16.7%
지 1
16.7%
정 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
최 1
16.7%
초 1
16.7%
지 1
16.7%
정 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
최 1
16.7%
초 1
16.7%
지 1
16.7%
정 1
16.7%
일 1
16.7%
자 1
16.7%

copnum
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9984
Missing (%)99.8%
Memory size156.2 KiB

storetrdar
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5031
Missing (%)50.3%
Memory size156.2 KiB

pmtbednum
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9634
Missing (%)96.3%
Memory size156.2 KiB

last_load_dttm
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021-01-04 21:03:45
3559 
2021-01-04 21:03:47
2185 
2021-01-04 21:03:44
1443 
2021-01-04 21:03:46
1423 
2021-01-04 21:03:48
1390 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-04 21:03:45
2nd row2021-01-04 21:03:48
3rd row2021-01-04 21:03:48
4th row2021-01-04 21:03:45
5th row2021-01-04 21:03:45

Common Values

ValueCountFrequency (%)
2021-01-04 21:03:45 3559
35.6%
2021-01-04 21:03:47 2185
21.9%
2021-01-04 21:03:44 1443
14.4%
2021-01-04 21:03:46 1423
 
14.2%
2021-01-04 21:03:48 1390
 
13.9%

Length

2024-04-17T06:51:11.022561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:51:11.107784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-04 10000
50.0%
21:03:45 3559
 
17.8%
21:03:47 2185
 
10.9%
21:03:44 1443
 
7.2%
21:03:46 1423
 
7.1%
21:03:48 1390
 
7.0%

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelnursecntnursaidcntbdnglayercntemercargenemercarspecrescntpomfacilaretcstfcntetcepcntmmknurmarbtrmarbtpnumsicbnumastnepnumofearwarmarfacilmngnumpharmtrdarnutrcntbbrmarbabyrglstnummitmdcdepnmmitmdcasgntypebatrarmetrorgassrnmmetrbosassrnmmetrpnumpgrmarpwnmrglstnumhstrmnumqutnownernumjoriwontoilarepcntjisgnumlayasgnymdasgncancelymdundernumlaymedextritemscnmedextritemscnnmtotartotepnumfrstasgnymdcopnumstoretrdarpmtbednumlast_load_dttm
635769233350000PHMA12006335002404110002201_01_02_PI2018-08-31 23:59:59.0<NA>순산부인과의원609804부산광역시 금정구 구서2동 201번지 23호 (2-5층,8-9층)<NA>부산광역시 금정구 중앙대로 1897 (구서동,(2-5층,8-9층))2006111020110620<NA><NA><NA>03폐업390318.679325197229.37476520110620115053의원051-123-1234NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaN<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA><NA><NA>NaNNaNNaNNaN<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>NaN<NA><NA>NaNNaNNaN2021-01-04 21:03:45
14789153533370000PHMD11977337002208400000201_01_06_PI2018-08-31 23:59:59.0<NA>새대한약국611087.0부산광역시 연제구 연산7동 683-15번지 외1필지611825부산광역시 연제구 월드컵대로 14-1 (연산동)1977070520140106.0<NA><NA><NA>3폐업390064.139908188616.57295220140106100400<NA>051-123-1234NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaN<NA>NaNNaN<NA>66.0NaNNaNNaN<NA><NA><NA><NA><NA>NaNNaNNaNNaN<NA>NaN<NA>NaN19770705.0<NA>NaN<NA><NA>NaN<NA><NA>NaNNaNNaN2021-01-04 21:03:48
13981145423340000PHMD12007334002508400001401_01_06_PI2018-08-31 23:59:59.0<NA>대진약국604022.0부산광역시 사하구 하단2동 870번지 88호<NA>부산광역시 사하구 낙동남로 1361 (하단동)2009061120110323.0<NA><NA><NA>3폐업378795.260954180687.00000720110323142037<NA>051-123-1234NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaN<NA>NaNNaN<NA>26.4NaNNaNNaN<NA><NA><NA><NA><NA>NaNNaNNaNNaN<NA>NaN<NA>NaN20090611.0<NA>NaN<NA><NA>NaN<NA><NA>NaNNaNNaN2021-01-04 21:03:48
342639823310000PHMA12014331002404110001201_01_02_PI2018-08-31 23:59:59.0<NA>참그루한의원608041부산광역시 남구 문현동 405번지 5호48415부산광역시 남구 수영로 21 (문현동)20140523NaN<NA><NA><NA>13영업중388668.995522184286.81557820180315194713한의원051-123-1234NaNNaNNaN00NaNNaNNaN<NA>NaNNaNNaN0<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA>한의원<NA>1NaNNaN0<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>273.36<NA><NA>NaN0NaN2021-01-04 21:03:45
545960203340000PHMA12004334002504120000601_01_02_PI2018-08-31 23:59:59.0<NA>다대정내과의원604825부산광역시 사하구 다대1동 910번지49524부산광역시 사하구 다대로 547 (다대동)20040419NaN<NA><NA><NA>13영업중379850.400644175238.46970620171227113103의원051-123-1234NaNNaNNaN00NaNNaNNaN<NA>NaNNaNNaN0<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA>의원<NA>1NaNNaN0<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>143.4<NA><NA>NaN0NaN2021-01-04 21:03:45
2521903290000PHMA12012329002404110002701_01_02_PI2018-08-31 23:59:59.0<NA>제우스남성의원614849부산광역시 부산진구 부전1동 486번지 9호47257부산광역시 부산진구 가야대로 781-1 (부전동)20120521NaN<NA><NA><NA>13영업중387442.332232186564.26460820170905183853의원051-123-1234NaNNaNNaN00NaNNaNNaN<NA>NaNNaNNaN0<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA>의원<NA>1NaNNaN0<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>181.97<NA><NA>NaN0NaN2021-01-04 21:03:44
10439253340000PHMA22015334002502120000501_01_01_PI2018-08-31 23:59:59.0<NA>신괴정요양병원NaN부산광역시 사하구 괴정동 893번지 5호49380부산광역시 사하구 낙동대로 243 (괴정동)20151210NaN<NA><NA><NA>13영업중381495.651705179895.64753720180808112334요양병원(일반요양병원)051-123-1234NaNNaNNaN00NaNNaNNaN<NA>NaNNaNNaN198<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA>요양병원(일반요양병원)<NA>21NaNNaN41<NA>NaN<NA>NaNNaN20180808NaN<NA><NA>3216.27<NA><NA>NaNNaN02021-01-04 21:03:44
666872343350000PHMA12011335002404110000801_01_02_PI2018-08-31 23:59:59.0<NA>부산의료소비자생활협동조합 보람의원609834부산광역시 금정구 서1동 546번지 3호609834부산광역시 금정구 서동로 82-1, 2층 (서동)2011030820120501<NA><NA><NA>03폐업390843.037149193191.17949820120501150439의원051-123-1234NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaN<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA><NA><NA>NaNNaNNaNNaN<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>NaN<NA><NA>NaNNaNNaN2021-01-04 21:03:45
10969115243380000PHMH32012338002308750006001_01_05_PI2018-08-31 23:59:59.0<NA>바이더웨이 수영구청점613816.0부산광역시 수영구 남천동 7번지 8호613816부산광역시 수영구 남천동로108번길 5 (남천동)2012111620130430.0<NA><NA><NA>3폐업392446.961746185308.50674420140113112115<NA>051-123-1234NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaN<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA><NA><NA>NaNNaNNaNNaN<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>NaN<NA><NA>NaN49.5NaN2021-01-04 21:03:47
8997793320000PHMA22018332004502120000101_01_01_PI2018-08-31 23:59:59.0<NA>시원항병원NaN부산광역시 북구 덕천동 331번지 4호 더청명빌딩46544부산광역시 북구 금곡대로 27, 더청명빌딩 5-10층 (덕천동)20180705NaN<NA><NA><NA>13영업중382498.736365192494.0519420180809132647병원051-123-1234NaNNaNNaN00NaNNaNNaN<NA>NaNNaNNaN72<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA>병원<NA>10NaNNaN26<NA>NaN<NA>NaNNaN20180809NaN<NA><NA>2910.53<NA><NA>NaNNaN02021-01-04 21:03:44
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelnursecntnursaidcntbdnglayercntemercargenemercarspecrescntpomfacilaretcstfcntetcepcntmmknurmarbtrmarbtpnumsicbnumastnepnumofearwarmarfacilmngnumpharmtrdarnutrcntbbrmarbabyrglstnummitmdcdepnmmitmdcasgntypebatrarmetrorgassrnmmetrbosassrnmmetrpnumpgrmarpwnmrglstnumhstrmnumqutnownernumjoriwontoilarepcntjisgnumlayasgnymdasgncancelymdundernumlaymedextritemscnmedextritemscnnmtotartotepnumfrstasgnymdcopnumstoretrdarpmtbednumlast_load_dttm
15399159623400000PHMD12013340001308400000301_01_06_PI2018-08-31 23:59:59.0<NA>연세약국619905.0부산광역시 기장군 기장읍 동부리 427번지 4호46063부산광역시 기장군 기장읍 반송로 164020130225NaN<NA><NA><NA>13영업중401826.280304197171.39853820140326121045<NA>051-123-1234NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaN<NA>NaNNaN<NA>12.9NaNNaNNaN<NA><NA><NA><NA><NA>NaNNaNNaNNaN<NA>NaN<NA>NaN20130225.0<NA>NaN<NA><NA>NaN<NA><NA>NaNNaNNaN2021-01-04 21:03:48
196225233290000PHMA12000329002404110002701_01_02_PI2018-08-31 23:59:59.0<NA>모생외과의원614847부산광역시 부산진구 부전2동 504번지 10호 동아빌딩 9층<NA>부산광역시 부산진구 부전로 79 (부전동,동아빌딩 9층)20000921NaN<NA><NA><NA>13영업중387203.027614186459.24775420170905183850의원051-123-1234NaNNaNNaN00NaNNaNNaN<NA>NaNNaNNaN0<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA>의원<NA>1NaNNaN0<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>406.26<NA><NA>NaN0NaN2021-01-04 21:03:44
213526963290000PHMA12003329002404110002501_01_02_PI2018-08-31 23:59:59.0<NA>수창한의원614854부산광역시 부산진구 양정2동 135번지 1호 2층 일부47219부산광역시 부산진구 연수로 42-1 (양정동)20030811NaN<NA><NA><NA>13영업중389105.936154188426.05775220170929134005한의원051-123-1234NaNNaNNaN00NaNNaNNaN<NA>NaNNaNNaN0<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA>한의원<NA>1NaNNaN0<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>73.9<NA><NA>NaN0NaN2021-01-04 21:03:44
831388783360000PHMA32010336002404130000101_01_03_PI2018-08-31 23:59:59.0<NA>삼성전기부속의원618819.0부산광역시 강서구 송정동 1623번지 2호 삼성전기(주) 18동46754부산광역시 강서구 녹산산업중로 333 (송정동)20100419NaN<NA><NA><NA>13영업중369506.629733179518.3315620170905183842<NA>051-123-1234NaNNaNNaN0.00.0NaNNaNNaN<NA>NaNNaNNaN0.0<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA>부속의원<NA>3.0NaNNaN0.0<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>237.6<NA><NA>NaNNaN0.02021-01-04 21:03:46
14192147553350000PHMD11976335002408400000601_01_06_PI2018-08-31 23:59:59.0<NA>장전세원약국609390.0부산광역시 금정구 장전동 417번지 2호<NA>부산광역시 금정구 금정로91번길 3 (장전동)1976030519960812.0<NA><NA><NA>3폐업389956.220611194915.1222620090128102822<NA>051-123-1234NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaN<NA>NaNNaN<NA>1.0NaNNaNNaN<NA><NA><NA><NA><NA>NaNNaNNaNNaN<NA>NaN<NA>NaN19760305.0<NA>NaN<NA><NA>NaN<NA><NA>NaNNaNNaN2021-01-04 21:03:48
9553101133320000PHMH32017332004508750001401_01_05_PI2018-08-31 23:59:59.0<NA>세븐일레븐 화목점NaN<NA>46632부산광역시 북구 시랑로62번길 17 (구포동, 화목맨션)20170829NaN<NA><NA><NA>13영업중382538.30985191100.29439320170830162446<NA>051-123-1234NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaN<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA><NA><NA>NaNNaNNaNNaN<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>NaN<NA><NA>NaN159.0NaN2021-01-04 21:03:46
11930124883270000PHMD11977327002208400000101_01_06_PI2018-08-31 23:59:59.0<NA>중앙약국601827.0부산광역시 동구 초량3동 170-5601827부산광역시 동구 중앙대로251번길 8 (초량동)1977011820140626.0<NA><NA><NA>3폐업386088.075318182270.1213820140626114716<NA>051-123-1234NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaN<NA>NaNNaN<NA>29.55NaNNaNNaN<NA><NA><NA><NA><NA>NaNNaNNaNNaN<NA>NaN<NA>NaN19770118.0<NA>NaN<NA><NA>NaN<NA><NA>NaNNaNNaN2021-01-04 21:03:47
122411083400000PHMA22017340001302120000101_01_01_PI2018-08-31 23:59:59.0<NA>위민의료소비자생활협동조합 정관중앙병원NaN부산광역시 기장군 정관읍 매학리 717번지 1호46015부산광역시 기장군 정관읍 정관로 579, 조은프라자(3층일부.6.7.8.11층)20170613NaN<NA><NA><NA>13영업중397986.350665204924.52497120180515135148병원051-123-1234NaNNaNNaN00NaNNaNNaN<NA>NaNNaNNaN40<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA>병원<NA>17NaNNaN18<NA>NaN<NA>NaNNaN20180515NaN<NA><NA>3169.48<NA><NA>NaNNaN02021-01-04 21:03:44
924198043300000PHMH32012330002408750005901_01_05_PI2018-08-31 23:59:59.0<NA>GS25 사직보라점607843.0부산광역시 동래구 온천동 1464번지 1호47827부산광역시 동래구 미남로 102 (온천동)20121116NaN<NA><NA><NA>13영업중388482.453467191577.50688320131023170712<NA>051-123-1234NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaN<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA><NA><NA>NaNNaNNaNNaN<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>NaN<NA><NA>NaNNaNNaN2021-01-04 21:03:46
199325543290000PHMA11982329002404110000401_01_02_PI2018-08-31 23:59:59.0<NA>박진우치과의원NaN부산광역시 부산진구 범천1동 869-147351부산광역시 부산진구 중앙대로 633 (범천동)19820630NaN<NA><NA><NA>13영업중387629.88093185596.3889620170905183848치과의원051-123-1234NaNNaNNaN00NaNNaNNaN<NA>NaNNaNNaN0<NA>NaNNaN<NA>NaNNaNNaNNaN<NA><NA><NA>치과의원<NA>1NaNNaN0<NA>NaN<NA>NaNNaN<NA>NaN<NA><NA>200.72<NA><NA>NaN0NaN2021-01-04 21:03:44