Overview

Dataset statistics

Number of variables23
Number of observations100
Missing cells336
Missing cells (%)14.6%
Duplicate rows16
Duplicate rows (%)16.0%
Total size in memory18.8 KiB
Average record size in memory192.3 B

Variable types

Numeric7
Categorical3
Text10
Boolean1
DateTime2

Alerts

Dataset has 16 (16.0%) duplicate rowsDuplicates
use_at is highly imbalanced (80.6%)Imbalance
bizr_no has 94 (94.0%) missing valuesMissing
fax_no has 13 (13.0%) missing valuesMissing
hmpg_url has 48 (48.0%) missing valuesMissing
map_url has 68 (68.0%) missing valuesMissing
tfcmn_tfcmn has 66 (66.0%) missing valuesMissing
charger_psitn_dept has 36 (36.0%) missing valuesMissing
charger_tlphon_no has 3 (3.0%) missing valuesMissing
charger_email_pre has 3 (3.0%) missing valuesMissing
charger_email_code has 3 (3.0%) missing valuesMissing
fax_no has 2 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-10 09:48:27.054872
Analysis finished2023-12-10 09:48:28.412278
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

fclty_grp_sn
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54982.8
Minimum31967
Maximum56130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:48:28.550104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31967
5-th percentile55490.85
Q155564.5
median55677.5
Q355749.75
95-th percentile56011.35
Maximum56130
Range24163
Interquartile range (IQR)185.25

Descriptive statistics

Standard deviation3999.0295
Coefficient of variation (CV)0.072732373
Kurtosis29.889677
Mean54982.8
Median Absolute Deviation (MAD)98.5
Skewness-5.5882594
Sum5498280
Variance15992237
MonotonicityNot monotonic
2023-12-10T18:48:28.949394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55711 2
 
2.0%
55777 2
 
2.0%
55706 2
 
2.0%
55758 2
 
2.0%
55725 2
 
2.0%
55735 2
 
2.0%
55739 2
 
2.0%
55747 2
 
2.0%
55746 2
 
2.0%
55768 2
 
2.0%
Other values (74) 80
80.0%
ValueCountFrequency (%)
31967 1
1.0%
32030 1
1.0%
33136 1
1.0%
55482 1
1.0%
55488 1
1.0%
55491 1
1.0%
55497 1
1.0%
55507 1
1.0%
55511 1
1.0%
55513 1
1.0%
ValueCountFrequency (%)
56130 1
1.0%
56109 1
1.0%
56093 1
1.0%
56073 1
1.0%
56056 1
1.0%
56009 1
1.0%
55975 1
1.0%
55809 2
2.0%
55798 2
2.0%
55792 2
2.0%

area_code
Real number (ℝ)

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20007.38
Minimum20001
Maximum20018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:48:29.220907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001
5-th percentile20001
Q120003
median20008
Q320011
95-th percentile20016
Maximum20018
Range17
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.8383568
Coefficient of variation (CV)0.00024182861
Kurtosis-0.82008613
Mean20007.38
Median Absolute Deviation (MAD)4
Skewness0.3467579
Sum2000738
Variance23.409697
MonotonicityNot monotonic
2023-12-10T18:48:29.591615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20008 23
23.0%
20001 17
17.0%
20005 9
 
9.0%
20013 8
 
8.0%
20003 6
 
6.0%
20002 5
 
5.0%
20011 5
 
5.0%
20007 4
 
4.0%
20014 4
 
4.0%
20004 3
 
3.0%
Other values (8) 16
16.0%
ValueCountFrequency (%)
20001 17
17.0%
20002 5
 
5.0%
20003 6
 
6.0%
20004 3
 
3.0%
20005 9
 
9.0%
20006 2
 
2.0%
20007 4
 
4.0%
20008 23
23.0%
20009 2
 
2.0%
20010 2
 
2.0%
ValueCountFrequency (%)
20018 2
 
2.0%
20017 2
 
2.0%
20016 2
 
2.0%
20015 3
 
3.0%
20014 4
4.0%
20013 8
8.0%
20012 1
 
1.0%
20011 5
5.0%
20010 2
 
2.0%
20009 2
 
2.0%

area_code_nm
Categorical

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경기도
23 
서울특별시
17 
광주광역시
9 
전라남도
8 
대구광역시
6 
Other values (13)
37 

Length

Max length9
Median length7
Mean length4.43
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row경기도
2nd row서울특별시
3rd row서울특별시
4th row인천광역시
5th row서울특별시

Common Values

ValueCountFrequency (%)
경기도 23
23.0%
서울특별시 17
17.0%
광주광역시 9
 
9.0%
전라남도 8
 
8.0%
대구광역시 6
 
6.0%
부산광역시 5
 
5.0%
충청남도 5
 
5.0%
울산광역시 4
 
4.0%
경상북도 4
 
4.0%
경상남도 3
 
3.0%
Other values (8) 16
16.0%

Length

2023-12-10T18:48:29.818215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 23
23.0%
서울특별시 17
17.0%
광주광역시 9
 
9.0%
전라남도 8
 
8.0%
대구광역시 6
 
6.0%
부산광역시 5
 
5.0%
충청남도 5
 
5.0%
울산광역시 4
 
4.0%
경상북도 4
 
4.0%
인천광역시 3
 
3.0%
Other values (8) 16
16.0%

fclty_grp_nm
Text

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:48:30.246736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length10.85
Min length4

Characters and Unicode

Total characters1085
Distinct characters192
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)68.0%

Sample

1st row경기도청소년성문화센터
2nd row은파복지사업소
3rd row구로기적의도서관
4th row강화청소년문화의집
5th row21세기청소년공동체 희망
ValueCountFrequency (%)
주택관리공단(주 3
 
2.4%
근덕청소년문화의집 2
 
1.6%
상상이룸센터(노원진로체험지원센터 2
 
1.6%
금산도서관 2
 
1.6%
rcy본부 2
 
1.6%
대구지사 2
 
1.6%
대한적십자사 2
 
1.6%
안성청소년상담복지센터 2
 
1.6%
토당청소년수련관 2
 
1.6%
광주요양병원 2
 
1.6%
Other values (95) 105
83.3%
2023-12-10T18:48:31.173269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 66
 
6.1%
청 61
 
5.6%
년 59
 
5.4%
화 39
 
3.6%
문 34
 
3.1%
의 29
 
2.7%
26
 
2.4%
터 26
 
2.4%
관 25
 
2.3%
집 25
 
2.3%
Other values (182) 695
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1003
92.4%
Space Separator 26
 
2.4%
Decimal Number 22
 
2.0%
Uppercase Letter 14
 
1.3%
Open Punctuation 10
 
0.9%
Close Punctuation 10
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 66
 
6.6%
청 61
 
6.1%
년 59
 
5.9%
화 39
 
3.9%
문 34
 
3.4%
의 29
 
2.9%
터 26
 
2.6%
관 25
 
2.5%
집 25
 
2.5%
센 24
 
2.4%
Other values (169) 615
61.3%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
Y 4
28.6%
A 2
14.3%
R 2
14.3%
W 1
 
7.1%
M 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 8
36.4%
0 7
31.8%
1 5
22.7%
9 2
 
9.1%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1003
92.4%
Common 68
 
6.3%
Latin 14
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 66
 
6.6%
청 61
 
6.1%
년 59
 
5.9%
화 39
 
3.9%
문 34
 
3.4%
의 29
 
2.9%
터 26
 
2.6%
관 25
 
2.5%
집 25
 
2.5%
센 24
 
2.4%
Other values (169) 615
61.3%
Common
ValueCountFrequency (%)
26
38.2%
( 10
 
14.7%
) 10
 
14.7%
2 8
 
11.8%
0 7
 
10.3%
1 5
 
7.4%
9 2
 
2.9%
Latin
ValueCountFrequency (%)
C 4
28.6%
Y 4
28.6%
A 2
14.3%
R 2
14.3%
W 1
 
7.1%
M 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1003
92.4%
ASCII 82
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 66
 
6.6%
청 61
 
6.1%
년 59
 
5.9%
화 39
 
3.9%
문 34
 
3.4%
의 29
 
2.9%
터 26
 
2.6%
관 25
 
2.5%
집 25
 
2.5%
센 24
 
2.4%
Other values (169) 615
61.3%
ASCII
ValueCountFrequency (%)
26
31.7%
( 10
 
12.2%
) 10
 
12.2%
2 8
 
9.8%
0 7
 
8.5%
1 5
 
6.1%
C 4
 
4.9%
Y 4
 
4.9%
9 2
 
2.4%
A 2
 
2.4%
Other values (3) 4
 
4.9%

cl_code
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95002.8
Minimum95001
Maximum95008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:48:31.382232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95001
5-th percentile95001
Q195002
median95002
Q395003
95-th percentile95008
Maximum95008
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7523433
Coefficient of variation (CV)1.8445175 × 10-5
Kurtosis3.034689
Mean95002.8
Median Absolute Deviation (MAD)0
Skewness1.9561041
Sum9500280
Variance3.0707071
MonotonicityNot monotonic
2023-12-10T18:48:31.646607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
95002 63
63.0%
95003 9
 
9.0%
95004 9
 
9.0%
95001 7
 
7.0%
95008 6
 
6.0%
95006 2
 
2.0%
95007 2
 
2.0%
95005 2
 
2.0%
ValueCountFrequency (%)
95001 7
 
7.0%
95002 63
63.0%
95003 9
 
9.0%
95004 9
 
9.0%
95005 2
 
2.0%
95006 2
 
2.0%
95007 2
 
2.0%
95008 6
 
6.0%
ValueCountFrequency (%)
95008 6
 
6.0%
95007 2
 
2.0%
95006 2
 
2.0%
95005 2
 
2.0%
95004 9
 
9.0%
95003 9
 
9.0%
95002 63
63.0%
95001 7
 
7.0%

cl_code_nm
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
청소년기관 및 단체
63 
사회복지기관 및 시설
9 
문화.예술시설 및 단체
9 
관공서
7 
기타시설 및 단체
 
6
Other values (3)
 
6

Length

Max length13
Median length10
Mean length9.86
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타시설 및 단체
2nd row사회복지기관 및 시설
3rd row문화.예술시설 및 단체
4th row청소년기관 및 단체
5th row청소년기관 및 단체

Common Values

ValueCountFrequency (%)
청소년기관 및 단체 63
63.0%
사회복지기관 및 시설 9
 
9.0%
문화.예술시설 및 단체 9
 
9.0%
관공서 7
 
7.0%
기타시설 및 단체 6
 
6.0%
의료,보호시설 및 단체 2
 
2.0%
기업체(사회공헌재단 등) 2
 
2.0%
체육.관광시설 및 단체 2
 
2.0%

Length

2023-12-10T18:48:32.237420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:48:32.477025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
및 91
32.0%
단체 82
28.9%
청소년기관 63
22.2%
사회복지기관 9
 
3.2%
시설 9
 
3.2%
문화.예술시설 9
 
3.2%
관공서 7
 
2.5%
기타시설 6
 
2.1%
의료,보호시설 2
 
0.7%
기업체(사회공헌재단 2
 
0.7%
Other values (2) 4
 
1.4%

bizr_no
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing94
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean3.5648725 × 109
Minimum1.1182049 × 109
Maximum6.0682799 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:48:32.706108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1182049 × 109
5-th percentile1.320654 × 109
Q12.2255529 × 109
median3.5982392 × 109
Q34.8282705 × 109
95-th percentile5.8207776 × 109
Maximum6.0682799 × 109
Range4.950075 × 109
Interquartile range (IQR)2.6027176 × 109

Descriptive statistics

Standard deviation1.8807466 × 109
Coefficient of variation (CV)0.52757752
Kurtosis-1.346565
Mean3.5648725 × 109
Median Absolute Deviation (MAD)1.5751346 × 109
Skewness0.0076429396
Sum2.1389235 × 1010
Variance3.5372077 × 1018
MonotonicityNot monotonic
2023-12-10T18:48:32.958920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3118207933 1
 
1.0%
6068279937 1
 
1.0%
4078270533 1
 
1.0%
1928001197 1
 
1.0%
1118204942 1
 
1.0%
5078270454 1
 
1.0%
(Missing) 94
94.0%
ValueCountFrequency (%)
1118204942 1
1.0%
1928001197 1
1.0%
3118207933 1
1.0%
4078270533 1
1.0%
5078270454 1
1.0%
6068279937 1
1.0%
ValueCountFrequency (%)
6068279937 1
1.0%
5078270454 1
1.0%
4078270533 1
1.0%
3118207933 1
1.0%
1928001197 1
1.0%
1118204942 1
1.0%

tel_no
Text

Distinct81
Distinct (%)81.8%
Missing1
Missing (%)1.0%
Memory size932.0 B
2023-12-10T18:48:33.480886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.8787879
Min length7

Characters and Unicode

Total characters978
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)64.6%

Sample

1st row0314753253
2nd row0234873455
3rd row0226328878
4th row0329307049
5th row027962278
ValueCountFrequency (%)
0612809064 3
 
3.0%
0316631888 2
 
2.0%
0535507120 2
 
2.0%
0438714083 2
 
2.0%
0417534710 2
 
2.0%
0335704981 2
 
2.0%
0312578504 2
 
2.0%
0318104070 2
 
2.0%
0624192097 2
 
2.0%
0622340755 2
 
2.0%
Other values (71) 78
78.8%
2023-12-10T18:48:34.324505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 196
20.0%
3 122
12.5%
1 115
11.8%
2 112
11.5%
6 83
8.5%
8 82
8.4%
5 79
8.1%
4 78
 
8.0%
7 68
 
7.0%
9 42
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 977
99.9%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
20.1%
3 122
12.5%
1 115
11.8%
2 112
11.5%
6 83
8.5%
8 82
8.4%
5 79
8.1%
4 78
 
8.0%
7 68
 
7.0%
9 42
 
4.3%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 978
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 196
20.0%
3 122
12.5%
1 115
11.8%
2 112
11.5%
6 83
8.5%
8 82
8.4%
5 79
8.1%
4 78
 
8.0%
7 68
 
7.0%
9 42
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 196
20.0%
3 122
12.5%
1 115
11.8%
2 112
11.5%
6 83
8.5%
8 82
8.4%
5 79
8.1%
4 78
 
8.0%
7 68
 
7.0%
9 42
 
4.3%

fax_no
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)80.5%
Missing13
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.6951951 × 108
Minimum0
Maximum7.0867731 × 109
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:48:34.600760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24989134
Q13.1528201 × 108
median4.1753986 × 108
Q35.3751884 × 108
95-th percentile6.3350754 × 108
Maximum7.0867731 × 109
Range7.0867731 × 109
Interquartile range (IQR)2.2223683 × 108

Descriptive statistics

Standard deviation1.0651431 × 109
Coefficient of variation (CV)1.8702487
Kurtosis32.249053
Mean5.6951951 × 108
Median Absolute Deviation (MAD)1.0522714 × 108
Skewness5.5961161
Sum4.9548198 × 1010
Variance1.1345298 × 1018
MonotonicityNot monotonic
2023-12-10T18:48:34.877616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
318104061 2
 
2.0%
417539864 2
 
2.0%
335752278 2
 
2.0%
315482700 2
 
2.0%
318104086 2
 
2.0%
624162019 2
 
2.0%
535642463 2
 
2.0%
29373326 2
 
2.0%
415552136 2
 
2.0%
512411388 2
 
2.0%
Other values (60) 67
67.0%
(Missing) 13
 
13.0%
ValueCountFrequency (%)
0 2
2.0%
3886345 1
1.0%
23821319 1
1.0%
24294188 1
1.0%
26610674 1
1.0%
27254840 1
1.0%
27371109 2
2.0%
29373326 2
2.0%
29497744 1
1.0%
222478004 1
1.0%
ValueCountFrequency (%)
7086773114 1
1.0%
7081470818 1
1.0%
3180506688 1
1.0%
647926046 1
1.0%
636253230 1
1.0%
627100925 1
1.0%
624560758 1
1.0%
624162019 2
2.0%
622621320 1
1.0%
618927105 2
2.0%

hmpg_url
Text

MISSING 

Distinct45
Distinct (%)86.5%
Missing48
Missing (%)48.0%
Memory size932.0 B
2023-12-10T18:48:35.453474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length35
Mean length27.538462
Min length15

Characters and Unicode

Total characters1432
Distinct characters54
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)73.1%

Sample

1st rowhttp://www.tacteenwa.or.kr/index.asp
2nd rowwww.eunpa.or.kr
3rd rowhttps://lib.guro.go.kr
4th rowhttps://www.ghss.or.kr
5th rowhttps://www.nuac.go.kr
ValueCountFrequency (%)
https://www.kohom.or.kr/moffice/0602003/index.do 2
 
3.8%
https://www.gcyf.or.kr/td 2
 
3.8%
http://junggu1388.or.kr 2
 
3.8%
https://cafe.naver.com/daesoyouth 2
 
3.8%
http://art1318.net 2
 
3.8%
http://www.kslib.or.kr 2
 
3.8%
https://www.liveinkorea.kr/center/main/main.do?centerid=suwonsi 2
 
3.8%
https://www.anseong.go.kr/deptportal/asimc/main.do 1
 
1.9%
http://ggycc.com 1
 
1.9%
http://www.dgyouth.net 1
 
1.9%
Other values (35) 35
67.3%
2023-12-10T18:48:36.233870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 146
 
10.2%
t 136
 
9.5%
. 130
 
9.1%
w 101
 
7.1%
o 85
 
5.9%
r 84
 
5.9%
h 70
 
4.9%
e 59
 
4.1%
p 56
 
3.9%
n 52
 
3.6%
Other values (44) 513
35.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1042
72.8%
Other Punctuation 328
 
22.9%
Decimal Number 44
 
3.1%
Other Letter 10
 
0.7%
Uppercase Letter 5
 
0.3%
Math Symbol 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 136
13.1%
w 101
 
9.7%
o 85
 
8.2%
r 84
 
8.1%
h 70
 
6.7%
e 59
 
5.7%
p 56
 
5.4%
n 52
 
5.0%
k 46
 
4.4%
a 46
 
4.4%
Other values (15) 307
29.5%
Other Letter
ValueCountFrequency (%)
문 1
10.0%
터 1
10.0%
센 1
10.0%
화 1
10.0%
소 1
10.0%
년 1
10.0%
청 1
10.0%
동 1
10.0%
자 1
10.0%
군 1
10.0%
Decimal Number
ValueCountFrequency (%)
0 14
31.8%
1 9
20.5%
3 6
13.6%
8 6
13.6%
2 4
 
9.1%
6 2
 
4.5%
4 1
 
2.3%
9 1
 
2.3%
5 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 146
44.5%
. 130
39.6%
: 50
 
15.2%
? 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
I 2
40.0%
P 1
20.0%
S 1
20.0%
H 1
20.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1047
73.1%
Common 375
 
26.2%
Hangul 10
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 136
13.0%
w 101
 
9.6%
o 85
 
8.1%
r 84
 
8.0%
h 70
 
6.7%
e 59
 
5.6%
p 56
 
5.3%
n 52
 
5.0%
k 46
 
4.4%
a 46
 
4.4%
Other values (19) 312
29.8%
Common
ValueCountFrequency (%)
/ 146
38.9%
. 130
34.7%
: 50
 
13.3%
0 14
 
3.7%
1 9
 
2.4%
3 6
 
1.6%
8 6
 
1.6%
2 4
 
1.1%
= 2
 
0.5%
6 2
 
0.5%
Other values (5) 6
 
1.6%
Hangul
ValueCountFrequency (%)
문 1
10.0%
터 1
10.0%
센 1
10.0%
화 1
10.0%
소 1
10.0%
년 1
10.0%
청 1
10.0%
동 1
10.0%
자 1
10.0%
군 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1422
99.3%
Hangul 10
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 146
 
10.3%
t 136
 
9.6%
. 130
 
9.1%
w 101
 
7.1%
o 85
 
6.0%
r 84
 
5.9%
h 70
 
4.9%
e 59
 
4.1%
p 56
 
3.9%
n 52
 
3.7%
Other values (34) 503
35.4%
Hangul
ValueCountFrequency (%)
문 1
10.0%
터 1
10.0%
센 1
10.0%
화 1
10.0%
소 1
10.0%
년 1
10.0%
청 1
10.0%
동 1
10.0%
자 1
10.0%
군 1
10.0%

zip_no
Real number (ℝ)

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35498.41
Minimum1412
Maximum157775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:48:36.486211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1412
5-th percentile2163
Q116077.75
median31989
Q351241
95-th percentile62327
Maximum157775
Range156363
Interquartile range (IQR)35163.25

Descriptive statistics

Standard deviation28251.947
Coefficient of variation (CV)0.79586515
Kurtosis6.1541018
Mean35498.41
Median Absolute Deviation (MAD)16926.5
Skewness1.8982474
Sum3549841
Variance7.9817254 × 108
MonotonicityNot monotonic
2023-12-10T18:48:36.713593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58564 4
 
4.0%
17591 3
 
3.0%
27667 2
 
2.0%
32746 2
 
2.0%
25933 2
 
2.0%
16305 2
 
2.0%
10512 2
 
2.0%
61477 2
 
2.0%
62277 2
 
2.0%
41900 2
 
2.0%
Other values (70) 77
77.0%
ValueCountFrequency (%)
1412 1
1.0%
1749 1
1.0%
1752 2
2.0%
2163 2
2.0%
2557 1
1.0%
2558 1
1.0%
3328 1
1.0%
3382 1
1.0%
4533 1
1.0%
4538 1
1.0%
ValueCountFrequency (%)
157775 1
1.0%
153030 1
1.0%
137073 1
1.0%
63644 1
1.0%
63277 1
1.0%
62277 2
2.0%
61670 1
1.0%
61477 2
2.0%
61475 1
1.0%
61429 1
1.0%

adres_pre
Text

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:48:37.208829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length23.96
Min length11

Characters and Unicode

Total characters2396
Distinct characters189
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)63.0%

Sample

1st row경기도 안산시 단원구 화랑로 260 (초지동)
2nd row서울 서초구 서초3동 1530-4
3rd row서울특별시 구로구 구로중앙로40길 24 (신도림동)
4th row인천광역시 강화군 강화읍 향나무길22번길 20
5th row서울특별시 동대문구 전농로37길 78 (전농동)
ValueCountFrequency (%)
경기도 23
 
4.5%
서울특별시 14
 
2.7%
광주광역시 9
 
1.8%
전라남도 8
 
1.6%
중구 7
 
1.4%
대구광역시 6
 
1.2%
동구 6
 
1.2%
부산광역시 5
 
1.0%
충청남도 5
 
1.0%
경상북도 4
 
0.8%
Other values (292) 424
83.0%
2023-12-10T18:48:38.046005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
411
 
17.2%
시 95
 
4.0%
동 93
 
3.9%
로 81
 
3.4%
) 72
 
3.0%
( 72
 
3.0%
1 72
 
3.0%
구 69
 
2.9%
2 55
 
2.3%
도 54
 
2.3%
Other values (179) 1322
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1466
61.2%
Space Separator 411
 
17.2%
Decimal Number 349
 
14.6%
Close Punctuation 72
 
3.0%
Open Punctuation 72
 
3.0%
Dash Punctuation 22
 
0.9%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 95
 
6.5%
동 93
 
6.3%
로 81
 
5.5%
구 69
 
4.7%
도 54
 
3.7%
길 45
 
3.1%
광 41
 
2.8%
산 33
 
2.3%
경 33
 
2.3%
서 31
 
2.1%
Other values (164) 891
60.8%
Decimal Number
ValueCountFrequency (%)
1 72
20.6%
2 55
15.8%
3 48
13.8%
5 31
8.9%
8 29
8.3%
6 29
8.3%
4 27
 
7.7%
0 26
 
7.4%
7 17
 
4.9%
9 15
 
4.3%
Space Separator
ValueCountFrequency (%)
411
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1466
61.2%
Common 930
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 95
 
6.5%
동 93
 
6.3%
로 81
 
5.5%
구 69
 
4.7%
도 54
 
3.7%
길 45
 
3.1%
광 41
 
2.8%
산 33
 
2.3%
경 33
 
2.3%
서 31
 
2.1%
Other values (164) 891
60.8%
Common
ValueCountFrequency (%)
411
44.2%
) 72
 
7.7%
( 72
 
7.7%
1 72
 
7.7%
2 55
 
5.9%
3 48
 
5.2%
5 31
 
3.3%
8 29
 
3.1%
6 29
 
3.1%
4 27
 
2.9%
Other values (5) 84
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1466
61.2%
ASCII 930
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
411
44.2%
) 72
 
7.7%
( 72
 
7.7%
1 72
 
7.7%
2 55
 
5.9%
3 48
 
5.2%
5 31
 
3.3%
8 29
 
3.1%
6 29
 
3.1%
4 27
 
2.9%
Other values (5) 84
 
9.0%
Hangul
ValueCountFrequency (%)
시 95
 
6.5%
동 93
 
6.3%
로 81
 
5.5%
구 69
 
4.7%
도 54
 
3.7%
길 45
 
3.1%
광 41
 
2.8%
산 33
 
2.3%
경 33
 
2.3%
서 31
 
2.1%
Other values (164) 891
60.8%

adres_rr
Text

Distinct78
Distinct (%)78.8%
Missing1
Missing (%)1.0%
Memory size932.0 B
2023-12-10T18:48:38.434878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length9.0808081
Min length1

Characters and Unicode

Total characters899
Distinct characters181
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)60.6%

Sample

1st row3층 경기도청소년성문화센터
2nd row1530-4
3rd row구로기적의도서관
4th row강화군청소년문화의집
5th row1층
ValueCountFrequency (%)
4층 10
 
6.9%
3층 7
 
4.9%
2층 7
 
4.9%
1층 6
 
4.2%
관리사무소 3
 
2.1%
전라남도청소년미래재단 3
 
2.1%
청소년활동진흥센터 3
 
2.1%
사무실 2
 
1.4%
청소년문화의집2층 2
 
1.4%
3~4층 2
 
1.4%
Other values (86) 99
68.8%
2023-12-10T18:48:39.492330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 54
 
6.0%
청 49
 
5.5%
년 46
 
5.1%
45
 
5.0%
층 37
 
4.1%
화 33
 
3.7%
문 29
 
3.2%
의 25
 
2.8%
집 23
 
2.6%
터 21
 
2.3%
Other values (171) 537
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 767
85.3%
Decimal Number 57
 
6.3%
Space Separator 45
 
5.0%
Uppercase Letter 14
 
1.6%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%
Dash Punctuation 3
 
0.3%
Other Punctuation 3
 
0.3%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 54
 
7.0%
청 49
 
6.4%
년 46
 
6.0%
층 37
 
4.8%
화 33
 
4.3%
문 29
 
3.8%
의 25
 
3.3%
집 23
 
3.0%
터 21
 
2.7%
센 20
 
2.6%
Other values (148) 430
56.1%
Decimal Number
ValueCountFrequency (%)
4 13
22.8%
2 13
22.8%
3 11
19.3%
1 8
14.0%
7 3
 
5.3%
0 3
 
5.3%
6 3
 
5.3%
5 2
 
3.5%
9 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
C 3
21.4%
Y 3
21.4%
K 2
14.3%
R 2
14.3%
T 2
14.3%
W 1
 
7.1%
A 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 767
85.3%
Common 118
 
13.1%
Latin 14
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 54
 
7.0%
청 49
 
6.4%
년 46
 
6.0%
층 37
 
4.8%
화 33
 
4.3%
문 29
 
3.8%
의 25
 
3.3%
집 23
 
3.0%
터 21
 
2.7%
센 20
 
2.6%
Other values (148) 430
56.1%
Common
ValueCountFrequency (%)
45
38.1%
4 13
 
11.0%
2 13
 
11.0%
3 11
 
9.3%
1 8
 
6.8%
( 4
 
3.4%
) 4
 
3.4%
- 3
 
2.5%
7 3
 
2.5%
0 3
 
2.5%
Other values (6) 11
 
9.3%
Latin
ValueCountFrequency (%)
C 3
21.4%
Y 3
21.4%
K 2
14.3%
R 2
14.3%
T 2
14.3%
W 1
 
7.1%
A 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 767
85.3%
ASCII 132
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 54
 
7.0%
청 49
 
6.4%
년 46
 
6.0%
층 37
 
4.8%
화 33
 
4.3%
문 29
 
3.8%
의 25
 
3.3%
집 23
 
3.0%
터 21
 
2.7%
센 20
 
2.6%
Other values (148) 430
56.1%
ASCII
ValueCountFrequency (%)
45
34.1%
4 13
 
9.8%
2 13
 
9.8%
3 11
 
8.3%
1 8
 
6.1%
( 4
 
3.0%
) 4
 
3.0%
- 3
 
2.3%
7 3
 
2.3%
0 3
 
2.3%
Other values (13) 25
18.9%

map_url
Text

MISSING 

Distinct28
Distinct (%)87.5%
Missing68
Missing (%)68.0%
Memory size932.0 B
2023-12-10T18:48:39.999007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length28
Mean length21.03125
Min length4

Characters and Unicode

Total characters673
Distinct characters168
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)75.0%

Sample

1st row안산 와스타디움 기둥번호 W18~W19 사이 안산 그리너스 FC 건물 3층 경기도청소년성문화센터
2nd row서울시 구로구
3rd row인천광역시 강화군 강화읍 향나무길22번길 20
4th row경기도 화성시 병점중앙로 195 3층 화성시청소년놀터
5th row양정동 상수도사업본부 6층
ValueCountFrequency (%)
3층 4
 
2.7%
서울특별시 4
 
2.7%
3
 
2.0%
건너편 3
 
2.0%
앞 2
 
1.3%
옆 2
 
1.3%
안산 2
 
1.3%
동대문구 2
 
1.3%
57 2
 
1.3%
사이 2
 
1.3%
Other values (100) 123
82.6%
2023-12-10T18:48:40.830922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
17.4%
시 21
 
3.1%
구 17
 
2.5%
1 15
 
2.2%
산 14
 
2.1%
화 13
 
1.9%
도 13
 
1.9%
광 10
 
1.5%
동 10
 
1.5%
울 9
 
1.3%
Other values (158) 434
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 486
72.2%
Space Separator 117
 
17.4%
Decimal Number 50
 
7.4%
Other Punctuation 7
 
1.0%
Uppercase Letter 4
 
0.6%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Dash Punctuation 2
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 21
 
4.3%
구 17
 
3.5%
산 14
 
2.9%
화 13
 
2.7%
도 13
 
2.7%
광 10
 
2.1%
동 10
 
2.1%
울 9
 
1.9%
로 9
 
1.9%
대 9
 
1.9%
Other values (137) 361
74.3%
Decimal Number
ValueCountFrequency (%)
1 15
30.0%
3 8
16.0%
2 6
 
12.0%
5 4
 
8.0%
6 4
 
8.0%
4 4
 
8.0%
8 3
 
6.0%
7 2
 
4.0%
0 2
 
4.0%
9 2
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
: 2
28.6%
/ 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
W 2
50.0%
F 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 486
72.2%
Common 183
 
27.2%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 21
 
4.3%
구 17
 
3.5%
산 14
 
2.9%
화 13
 
2.7%
도 13
 
2.7%
광 10
 
2.1%
동 10
 
2.1%
울 9
 
1.9%
로 9
 
1.9%
대 9
 
1.9%
Other values (137) 361
74.3%
Common
ValueCountFrequency (%)
117
63.9%
1 15
 
8.2%
3 8
 
4.4%
2 6
 
3.3%
5 4
 
2.2%
, 4
 
2.2%
6 4
 
2.2%
4 4
 
2.2%
) 3
 
1.6%
8 3
 
1.6%
Other values (8) 15
 
8.2%
Latin
ValueCountFrequency (%)
W 2
50.0%
F 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 486
72.2%
ASCII 187
 
27.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
62.6%
1 15
 
8.0%
3 8
 
4.3%
2 6
 
3.2%
5 4
 
2.1%
, 4
 
2.1%
6 4
 
2.1%
4 4
 
2.1%
) 3
 
1.6%
8 3
 
1.6%
Other values (11) 19
 
10.2%
Hangul
ValueCountFrequency (%)
시 21
 
4.3%
구 17
 
3.5%
산 14
 
2.9%
화 13
 
2.7%
도 13
 
2.7%
광 10
 
2.1%
동 10
 
2.1%
울 9
 
1.9%
로 9
 
1.9%
대 9
 
1.9%
Other values (137) 361
74.3%

tfcmn_tfcmn
Text

MISSING 

Distinct28
Distinct (%)82.4%
Missing66
Missing (%)66.0%
Memory size932.0 B
2023-12-10T18:48:41.241554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length840
Median length159
Mean length124.20588
Min length13

Characters and Unicode

Total characters4223
Distinct characters238
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)64.7%

Sample

1st row지하철 고잔역 1번 출구 도보 약 15분 버스 11, 22, 23, 30, 30-2, 52, 66, 99, 123, 350, 707, 909 단원구청.단원보건소 하차 후 도보 약 15분
2nd row버스노선 : (상수도사업본부 정류소) 131, 141 등 도시철도 : 1호선 양정역(9번출구) 2분 소요
3rd row서정리역에서 도보 10분
4th row서정리역에서 도보 10분
5th row지하철 - 남포역 1번 출구, 도보 3분 버스 - 17, 87, 103, 1000번 부산데파트 하차, 도보 5분 - 27, 41번 남포역 하차, 도보 5분 - 88번 중앙동주민센터 하차, 도보 5분
ValueCountFrequency (%)
73
 
8.6%
하차 31
 
3.7%
도보 24
 
2.8%
→ 17
 
2.0%
지하철 15
 
1.8%
버스 15
 
1.8%
출구 10
 
1.2%
후 8
 
0.9%
정류장 7
 
0.8%
5분 7
 
0.8%
Other values (450) 640
75.6%
2023-12-10T18:48:41.886595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1078
25.5%
0 197
 
4.7%
, 180
 
4.3%
1 154
 
3.6%
2 115
 
2.7%
3 95
 
2.2%
7 77
 
1.8%
- 70
 
1.7%
하 68
 
1.6%
5 65
 
1.5%
Other values (228) 2124
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1747
41.4%
Space Separator 1078
25.5%
Decimal Number 906
21.5%
Other Punctuation 252
 
6.0%
Dash Punctuation 70
 
1.7%
Open Punctuation 53
 
1.3%
Close Punctuation 53
 
1.3%
Math Symbol 25
 
0.6%
Uppercase Letter 17
 
0.4%
Control 10
 
0.2%
Other values (3) 12
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 68
 
3.9%
번 54
 
3.1%
차 49
 
2.8%
도 47
 
2.7%
역 47
 
2.7%
로 44
 
2.5%
구 44
 
2.5%
스 40
 
2.3%
버 39
 
2.2%
보 39
 
2.2%
Other values (189) 1276
73.0%
Decimal Number
ValueCountFrequency (%)
0 197
21.7%
1 154
17.0%
2 115
12.7%
3 95
10.5%
7 77
 
8.5%
5 65
 
7.2%
8 59
 
6.5%
4 53
 
5.8%
6 49
 
5.4%
9 42
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
17.6%
K 3
17.6%
A 3
17.6%
E 2
11.8%
I 2
11.8%
C 2
11.8%
T 1
 
5.9%
M 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 180
71.4%
: 36
 
14.3%
/ 21
 
8.3%
. 7
 
2.8%
· 4
 
1.6%
* 2
 
0.8%
" 2
 
0.8%
Math Symbol
ValueCountFrequency (%)
→ 17
68.0%
> 7
28.0%
~ 1
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 52
98.1%
[ 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 52
98.1%
] 1
 
1.9%
Other Number
ValueCountFrequency (%)
⑤ 1
50.0%
④ 1
50.0%
Space Separator
ValueCountFrequency (%)
1078
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Control
ValueCountFrequency (%)
10
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2450
58.0%
Hangul 1747
41.4%
Latin 26
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 68
 
3.9%
번 54
 
3.1%
차 49
 
2.8%
도 47
 
2.7%
역 47
 
2.7%
로 44
 
2.5%
구 44
 
2.5%
스 40
 
2.3%
버 39
 
2.2%
보 39
 
2.2%
Other values (189) 1276
73.0%
Common
ValueCountFrequency (%)
1078
44.0%
0 197
 
8.0%
, 180
 
7.3%
1 154
 
6.3%
2 115
 
4.7%
3 95
 
3.9%
7 77
 
3.1%
- 70
 
2.9%
5 65
 
2.7%
8 59
 
2.4%
Other values (20) 360
 
14.7%
Latin
ValueCountFrequency (%)
m 9
34.6%
B 3
 
11.5%
K 3
 
11.5%
A 3
 
11.5%
E 2
 
7.7%
I 2
 
7.7%
C 2
 
7.7%
T 1
 
3.8%
M 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2453
58.1%
Hangul 1747
41.4%
Arrows 17
 
0.4%
None 4
 
0.1%
Enclosed Alphanum 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1078
43.9%
0 197
 
8.0%
, 180
 
7.3%
1 154
 
6.3%
2 115
 
4.7%
3 95
 
3.9%
7 77
 
3.1%
- 70
 
2.9%
5 65
 
2.6%
8 59
 
2.4%
Other values (25) 363
 
14.8%
Hangul
ValueCountFrequency (%)
하 68
 
3.9%
번 54
 
3.1%
차 49
 
2.8%
도 47
 
2.7%
역 47
 
2.7%
로 44
 
2.5%
구 44
 
2.5%
스 40
 
2.3%
버 39
 
2.2%
보 39
 
2.2%
Other values (189) 1276
73.0%
Arrows
ValueCountFrequency (%)
→ 17
100.0%
None
ValueCountFrequency (%)
· 4
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
⑤ 1
50.0%
④ 1
50.0%

charger_psitn_dept
Text

MISSING 

Distinct46
Distinct (%)71.9%
Missing36
Missing (%)36.0%
Memory size932.0 B
2023-12-10T18:48:42.324059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length6.359375
Min length1

Characters and Unicode

Total characters407
Distinct characters119
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)51.6%

Sample

1st row강화군청소년문화의집
2nd row청소년놀터
3rd row부산지역회의
4th rowㅇㄹ
5th rowㅇㄹ
ValueCountFrequency (%)
청소년사업팀 5
 
7.0%
청소년활동팀 4
 
5.6%
자료실 3
 
4.2%
교육부 2
 
2.8%
사회사업실 2
 
2.8%
운영지원팀 2
 
2.8%
rcy본부 2
 
2.8%
ㅇㄹ 2
 
2.8%
센터교육팀 2
 
2.8%
활동협력팀 2
 
2.8%
Other values (41) 45
63.4%
2023-12-10T18:48:42.989466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
팀 29
 
7.1%
소 26
 
6.4%
청 24
 
5.9%
년 24
 
5.9%
사 16
 
3.9%
업 11
 
2.7%
화 10
 
2.5%
문 9
 
2.2%
활 9
 
2.2%
동 9
 
2.2%
Other values (109) 240
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
95.6%
Space Separator 7
 
1.7%
Uppercase Letter 6
 
1.5%
Decimal Number 3
 
0.7%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
팀 29
 
7.5%
소 26
 
6.7%
청 24
 
6.2%
년 24
 
6.2%
사 16
 
4.1%
업 11
 
2.8%
화 10
 
2.6%
문 9
 
2.3%
활 9
 
2.3%
동 9
 
2.3%
Other values (101) 222
57.1%
Uppercase Letter
ValueCountFrequency (%)
Y 2
33.3%
C 2
33.3%
R 2
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
95.6%
Common 12
 
2.9%
Latin 6
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
팀 29
 
7.5%
소 26
 
6.7%
청 24
 
6.2%
년 24
 
6.2%
사 16
 
4.1%
업 11
 
2.8%
화 10
 
2.6%
문 9
 
2.3%
활 9
 
2.3%
동 9
 
2.3%
Other values (101) 222
57.1%
Common
ValueCountFrequency (%)
7
58.3%
1 2
 
16.7%
( 1
 
8.3%
) 1
 
8.3%
3 1
 
8.3%
Latin
ValueCountFrequency (%)
Y 2
33.3%
C 2
33.3%
R 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 385
94.6%
ASCII 18
 
4.4%
Compat Jamo 4
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
팀 29
 
7.5%
소 26
 
6.8%
청 24
 
6.2%
년 24
 
6.2%
사 16
 
4.2%
업 11
 
2.9%
화 10
 
2.6%
문 9
 
2.3%
활 9
 
2.3%
동 9
 
2.3%
Other values (99) 218
56.6%
ASCII
ValueCountFrequency (%)
7
38.9%
1 2
 
11.1%
Y 2
 
11.1%
C 2
 
11.1%
R 2
 
11.1%
( 1
 
5.6%
) 1
 
5.6%
3 1
 
5.6%
Compat Jamo
ValueCountFrequency (%)
ㄹ 2
50.0%
ㅇ 2
50.0%

charger_tlphon_no
Text

MISSING 

Distinct80
Distinct (%)82.5%
Missing3
Missing (%)3.0%
Memory size932.0 B
2023-12-10T18:48:43.595355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.164948
Min length7

Characters and Unicode

Total characters986
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)64.9%

Sample

1st row0314753253
2nd row07041037995
3rd row0329307049
4th row027962278
5th row0312672553
ValueCountFrequency (%)
0415600255 2
 
2.1%
0535507120 2
 
2.1%
0417534710 2
 
2.1%
0318104060 2
 
2.1%
0335704981 2
 
2.1%
0316910923 2
 
2.1%
0312578504 2
 
2.1%
0318104088 2
 
2.1%
0622340755 2
 
2.1%
0624192097 2
 
2.1%
Other values (70) 77
79.4%
2023-12-10T18:48:44.434742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 211
21.4%
1 106
10.8%
2 104
10.5%
3 104
10.5%
4 90
9.1%
6 83
 
8.4%
8 77
 
7.8%
5 76
 
7.7%
7 73
 
7.4%
9 58
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 982
99.6%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 211
21.5%
1 106
10.8%
2 104
10.6%
3 104
10.6%
4 90
9.2%
6 83
 
8.5%
8 77
 
7.8%
5 76
 
7.7%
7 73
 
7.4%
9 58
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 986
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 211
21.4%
1 106
10.8%
2 104
10.5%
3 104
10.5%
4 90
9.1%
6 83
 
8.4%
8 77
 
7.8%
5 76
 
7.7%
7 73
 
7.4%
9 58
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 211
21.4%
1 106
10.8%
2 104
10.5%
3 104
10.5%
4 90
9.1%
6 83
 
8.4%
8 77
 
7.8%
5 76
 
7.7%
7 73
 
7.4%
9 58
 
5.9%

charger_email_pre
Text

MISSING 

Distinct75
Distinct (%)77.3%
Missing3
Missing (%)3.0%
Memory size932.0 B
2023-12-10T18:48:44.814592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length10.752577
Min length1

Characters and Unicode

Total characters1043
Distinct characters43
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)59.8%

Sample

1st rowtactwa1318
2nd rownami@guromiracle.or.kr
3rd rowhw823260
4th row1318hm
5th rowtmfrlyouth@hswf.or.kr
ValueCountFrequency (%)
5
 
5.2%
직접입력 4
 
4.1%
jnyouth9000 3
 
3.1%
lmy6263@redcross.or.kr 2
 
2.1%
lodze 2
 
2.1%
anseong1318 2
 
2.1%
bluered07 2
 
2.1%
0814jy 2
 
2.1%
s10840 2
 
2.1%
cloud09@korea.kr 2
 
2.1%
Other values (64) 71
73.2%
2023-12-10T18:48:45.507505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 60
 
5.8%
n 55
 
5.3%
r 54
 
5.2%
0 50
 
4.8%
e 48
 
4.6%
a 44
 
4.2%
1 41
 
3.9%
u 40
 
3.8%
@ 40
 
3.8%
3 38
 
3.6%
Other values (33) 573
54.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 677
64.9%
Decimal Number 259
 
24.8%
Other Punctuation 71
 
6.8%
Other Letter 32
 
3.1%
Connector Punctuation 2
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 60
 
8.9%
n 55
 
8.1%
r 54
 
8.0%
e 48
 
7.1%
a 44
 
6.5%
u 40
 
5.9%
s 34
 
5.0%
k 32
 
4.7%
h 31
 
4.6%
m 30
 
4.4%
Other values (15) 249
36.8%
Decimal Number
ValueCountFrequency (%)
0 50
19.3%
1 41
15.8%
3 38
14.7%
8 32
12.4%
6 21
8.1%
4 19
 
7.3%
2 18
 
6.9%
9 16
 
6.2%
5 14
 
5.4%
7 10
 
3.9%
Other Letter
ValueCountFrequency (%)
접 8
25.0%
직 8
25.0%
입 8
25.0%
력 8
25.0%
Other Punctuation
ValueCountFrequency (%)
@ 40
56.3%
. 31
43.7%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 677
64.9%
Common 334
32.0%
Hangul 32
 
3.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 60
 
8.9%
n 55
 
8.1%
r 54
 
8.0%
e 48
 
7.1%
a 44
 
6.5%
u 40
 
5.9%
s 34
 
5.0%
k 32
 
4.7%
h 31
 
4.6%
m 30
 
4.4%
Other values (15) 249
36.8%
Common
ValueCountFrequency (%)
0 50
15.0%
1 41
12.3%
@ 40
12.0%
3 38
11.4%
8 32
9.6%
. 31
9.3%
6 21
6.3%
4 19
 
5.7%
2 18
 
5.4%
9 16
 
4.8%
Other values (4) 28
8.4%
Hangul
ValueCountFrequency (%)
접 8
25.0%
직 8
25.0%
입 8
25.0%
력 8
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1011
96.9%
Hangul 32
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 60
 
5.9%
n 55
 
5.4%
r 54
 
5.3%
0 50
 
4.9%
e 48
 
4.7%
a 44
 
4.4%
1 41
 
4.1%
u 40
 
4.0%
@ 40
 
4.0%
3 38
 
3.8%
Other values (29) 541
53.5%
Hangul
ValueCountFrequency (%)
접 8
25.0%
직 8
25.0%
입 8
25.0%
력 8
25.0%

charger_email_code
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)7.2%
Missing3
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean37398.206
Minimum37005
Maximum37999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:48:45.737477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37005
5-th percentile37005
Q137005
median37020
Q337999
95-th percentile37999
Maximum37999
Range994
Interquartile range (IQR)994

Descriptive statistics

Standard deviation484.69567
Coefficient of variation (CV)0.012960399
Kurtosis-1.8351303
Mean37398.206
Median Absolute Deviation (MAD)15
Skewness0.45010818
Sum3627626
Variance234929.89
MonotonicityNot monotonic
2023-12-10T18:48:45.921315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
37999 38
38.0%
37005 27
27.0%
37020 16
16.0%
37021 5
 
5.0%
37013 4
 
4.0%
37007 4
 
4.0%
37008 3
 
3.0%
(Missing) 3
 
3.0%
ValueCountFrequency (%)
37005 27
27.0%
37007 4
 
4.0%
37008 3
 
3.0%
37013 4
 
4.0%
37020 16
16.0%
37021 5
 
5.0%
37999 38
38.0%
ValueCountFrequency (%)
37999 38
38.0%
37021 5
 
5.0%
37020 16
16.0%
37013 4
 
4.0%
37008 3
 
3.0%
37007 4
 
4.0%
37005 27
27.0%

charger_email_code_nm
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
직접입력
38 
naver.com
27 
hanmail.net
16 
korea.kr
5 
gmail.com
4 
Other values (3)
10 

Length

Max length11
Median length9
Mean length7.15
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhanmail.net
2nd row<NA>
3rd row직접입력
4th rownaver.com
5th rowgmail.com

Common Values

ValueCountFrequency (%)
직접입력 38
38.0%
naver.com 27
27.0%
hanmail.net 16
16.0%
korea.kr 5
 
5.0%
gmail.com 4
 
4.0%
daum.net 4
 
4.0%
<NA> 3
 
3.0%
nate.com 3
 
3.0%

Length

2023-12-10T18:48:46.149485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:48:46.344303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직접입력 38
38.0%
naver.com 27
27.0%
hanmail.net 16
16.0%
korea.kr 5
 
5.0%
gmail.com 4
 
4.0%
daum.net 4
 
4.0%
na 3
 
3.0%
nate.com 3
 
3.0%

use_at
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
True
97 
False
 
3
ValueCountFrequency (%)
True 97
97.0%
False 3
 
3.0%
2023-12-10T18:48:46.541818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

regist_dt
Date

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2008-12-08 07:08:13
Maximum2021-03-16 09:15:43
2023-12-10T18:48:46.727627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:48:46.958374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

updt_dt
Date

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2008-12-08 07:08:13
Maximum2021-05-03 05:22:52
2023-12-10T18:48:47.202162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:48:47.500881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

fclty_grp_snarea_codearea_code_nmfclty_grp_nmcl_codecl_code_nmbizr_notel_nofax_nohmpg_urlzip_noadres_preadres_rrmap_urltfcmn_tfcmncharger_psitn_deptcharger_tlphon_nocharger_email_precharger_email_codecharger_email_code_nmuse_atregist_dtupdt_dt
05613020008경기도경기도청소년성문화센터95008기타시설 및 단체<NA>0314753253314753254http://www.tacteenwa.or.kr/index.asp15396경기도 안산시 단원구 화랑로 260 (초지동)3층 경기도청소년성문화센터안산 와스타디움 기둥번호 W18~W19 사이 안산 그리너스 FC 건물 3층 경기도청소년성문화센터지하철 고잔역 1번 출구 도보 약 15분 버스 11, 22, 23, 30, 30-2, 52, 66, 99, 123, 350, 707, 909 단원구청.단원보건소 하차 후 도보 약 15분<NA>0314753253tactwa131837020hanmail.netY2021-03-16 09:15:43.02021-03-16 10:33:35.0
13196720001서울특별시은파복지사업소95003사회복지기관 및 시설<NA>0234873455234713530www.eunpa.or.kr137073서울 서초구 서초3동 1530-41530-4<NA><NA><NA><NA><NA><NA><NA>N2008-12-08 07:08:13.02008-12-08 07:08:13.0
25609320001서울특별시구로기적의도서관95004문화.예술시설 및 단체<NA>0226328878226328879https://lib.guro.go.kr8206서울특별시 구로구 구로중앙로40길 24 (신도림동)구로기적의도서관서울시 구로구<NA><NA>07041037995nami@guromiracle.or.kr37999직접입력Y2021-02-26 11:40:47.02021-02-26 11:51:46.0
35610920004인천광역시강화청소년문화의집95002청소년기관 및 단체<NA>03293070490https://www.ghss.or.kr23034인천광역시 강화군 강화읍 향나무길22번길 20강화군청소년문화의집인천광역시 강화군 강화읍 향나무길22번길 20<NA>강화군청소년문화의집0329307049hw82326037005naver.comY2021-02-18 04:42:00.02021-02-18 04:52:44.0
45607320001서울특별시21세기청소년공동체 희망95002청소년기관 및 단체<NA>0279622780<NA>2557서울특별시 동대문구 전농로37길 78 (전농동)1층<NA><NA><NA>0279622781318hm37013gmail.comY2021-02-10 11:49:54.02021-02-10 12:03:49.0
55605620008경기도화성시청소년놀터95002청소년기관 및 단체<NA>0312672553312672555<NA>18274경기도 화성시 남양읍 시청로 155모두누림센터경기도 화성시 병점중앙로 195 3층 화성시청소년놀터<NA>청소년놀터0312672553tmfrlyouth@hswf.or.kr37999직접입력Y2021-01-20 10:51:14.02021-01-20 11:15:40.0
65597520002부산광역시민주평화통일자문회의 부산지역회의95008기타시설 및 단체<NA>0518666363518666364https://www.nuac.go.kr47210부산광역시 부산진구 중앙대로 955 (양정동)부산광역시상수도사업본부 6층양정동 상수도사업본부 6층버스노선 : (상수도사업본부 정류소) 131, 141 등 도시철도 : 1호선 양정역(9번출구) 2분 소요부산지역회의0518666363amour4837020hanmail.netY2021-01-11 01:54:44.02021-03-16 02:20:00.0
73203020001서울특별시노인복지회관95003사회복지기관 및 시설<NA><NA><NA><NA>153030서울 금천구 시흥1동 558-1<NA><NA><NA><NA><NA><NA><NA><NA>N2008-12-08 07:08:13.02008-12-08 07:08:13.0
85600920008경기도교복은행95008기타시설 및 단체<NA>010533360093180506688<NA>18487경기도 화성시 동탄기흥로257번가길 19 (방교동)방교동779 (1층 교복은행)<NA><NA><NA>03180506688schooluniform37005naver.comY2020-12-23 06:12:50.02021-02-21 06:12:56.0
95580920001서울특별시(사)청소년문화예술센터95002청소년기관 및 단체<NA>02737110327371109http://art1318.net2163서울특별시 중랑구 망우로 378 (망우동)4층<NA><NA><NA>027371103accenter131837013gmail.comY2020-08-20 02:05:11.02020-08-20 02:49:29.0
fclty_grp_snarea_codearea_code_nmfclty_grp_nmcl_codecl_code_nmbizr_notel_nofax_nohmpg_urlzip_noadres_preadres_rrmap_urltfcmn_tfcmncharger_psitn_deptcharger_tlphon_nocharger_email_precharger_email_codecharger_email_code_nmuse_atregist_dtupdt_dt
905551720001서울특별시서울시녹번종합사회복지관95003사회복지기관 및 시설11182049420238863413886345http://nokbeon.or.kr/3382서울특별시 은평구 은평로21길 14-26 (녹번동)녹번종합사회복지관서울특별시 은평구 은평로21길 14-26 (녹번동)지하철 녹번역 4번 출구 하차, 은평구청 방면으로 약 500m지역사회조직팀07044411312myr063@nokbeon.or.kr37999직접입력Y2019-02-15 11:18:25.02020-03-23 05:17:36.0
915552120004인천광역시연수구청소년수련관95002청소년기관 및 단체<NA>0328332012328332013https://www.pot0924.org21980인천광역시 연수구 앵고개로 132 (동춘동)동춘동 301-26<NA><NA>연수구청소년수련관0328332012pot092437005naver.comY2019-02-14 04:19:56.02021-02-18 02:53:42.0
925551320005광주광역시2019 청소년지원동아리95002청소년기관 및 단체<NA>0622340755<NA><NA>61477광주광역시 동구 독립로226번길 13-3 (수기동)2층 광주광역시청소년활동진흥센터<NA><NA><NA>0622340755@37999직접입력Y2019-02-14 10:03:38.02019-02-14 10:06:55.0
935550720003대구광역시전국천사무료급식소95003사회복지기관 및 시설<NA>0535241004532183004<NA>41791대구광역시 서구 국채보상로 365 (비산동)사단법인 전국자원봉사연맹<NA>대구급식소 대구광역시 서구 국채보상로 365 (문의/010-6704-0041) 대구시청급식소 대구광역시 중구 태평로 204 (문의/010-5791-0025) 종로급식소 서울특별시 종로구 돈화문로 4길 29 (문의/010-7455-0031) 세류급식소 경기도 수원시 권선구 정조로 392-1 (문의/010-6772-0032) 대전급식소 대전광역시 동구 역전시장길 4 (문의/010-4264-0035) 부산급식소 부산광역시 부산진구 초읍천로 113 (문의/010-2929-0037) 울산급식소 울산광역시 남구 수암로 5 (문의/010-9605-0036) 여수급식소 전라남도 여수시 화산로 66 (문의/010-2496-0026) 광주급식소 광주광역시 북구 동문대로 162 (문의/010-6531-0038) 마산급식소 창원시 마산회원구 마산역광장로 6 (문의/010-9582-0039) 부평급식소 인천광역시 부평구 경원대로 1379 (문의/010-8489-0025) 영등포급식소 서울특별시 영등포구 영등포동 3가 6번지 (문의/010-2230-0028) 양천급식소 서울특별시 양천구 중앙로 284 (문의/010-8489-0048) 보라매급식소 서울특별시 영등포구 여의대방로 95 (문의/010-5587-0036)자원봉사관리010670400411004ngo37005naver.comY2019-01-31 12:19:45.02021-01-18 04:49:52.0
945551120014경상북도경산시계림청소년수련원95002청소년기관 및 단체50782704540538567278538567279http://gryouth.com/main/main.html38545경상북도 경산시 자인면 일연로 311-6.경산시 자인면 일연로 311-6<NA>활동부01026071756ehgksdl95137005naver.comY2019-01-30 03:20:16.02020-07-21 03:34:00.0
955558520005광주광역시참한창작소95004문화.예술시설 및 단체<NA>01074427325<NA>https://blog.naver.com/charmhan051061429광주광역시 동구 중앙로 254 (동명동)4층, (참한창작소)<NA><NA><NA>01074427325charmhan051037005naver.comY2019-01-14 04:50:20.02019-04-30 06:00:03.0
965549120014경상북도주택관리공단(주) 구미인의관리소95007기업체(사회공헌재단 등)<NA>0544721288544721289<NA>39399경상북도 구미시 인동16길 48-1 (진평동, 구미인의주공아파트)관리사무소<NA><NA><NA>0544721288360326@kohom.or.kr37999직접입력Y2019-01-09 04:10:52.02019-01-15 03:31:03.0
975548820007울산광역시울주군시설관리공단 대덕도서관95001관공서<NA>0522299687522299689https://www.uljusiseol.or.kr44991울산광역시 울주군 온산읍 명봉거남로 46온산문화체육센터 내 대덕도서관울산광역시 울주군 온산읍 명봉거남로 46, 온산문화체육센터 내 대덕도서관1. 대중교통 이용 -온산읍행정복지센터 정류장 하차 후 도보 9분(600M) : 205번, 504번, 527번, 5004번 -온산문화체육센터 정류장 하차후 도보 1분 : 537번 2. 자가운전 - 울산(공업탑) → 두왕로 → 두왕사거리 → 온산로 → 산천마을앞교차로(홍명고등학교) → 명봉거남로 → 온산문화체육센터울주군시설관리공단 문화진흥팀(온산문화체육센터)0522299686ulovesa37005naver.comY2019-01-02 03:24:12.02019-01-10 08:58:12.0
985549720008경기도천천청소년문화의집95002청소년기관 및 단체<NA>0312719340312712655http://www.syf.or.kr16325경기도 수원시 장안구 정자로42번길 42 (천천동)천천청소년문화의집천천청소년문화의집(천천고등학교 정문 건너편)천천중, 천천고등학교 정류장 하차천천청소년문화의집031-271-9344volunteer8437005naver.comY2019-01-02 11:35:15.02020-10-27 11:57:19.0
995548220001서울특별시창동청소년성문화센터95002청소년기관 및 단체<NA>029509653<NA><NA>1412서울특별시 도봉구 노해로69길 132 (창동)1층 창동청소년성문화센터<NA><NA><NA>9509653950965137005naver.comY2018-12-18 09:31:53.02019-01-09 04:28:30.0

Duplicate rows

Most frequently occurring

fclty_grp_snarea_codearea_code_nmfclty_grp_nmcl_codecl_code_nmbizr_notel_nofax_nohmpg_urlzip_noadres_preadres_rrmap_urltfcmn_tfcmncharger_psitn_deptcharger_tlphon_nocharger_email_precharger_email_codecharger_email_code_nmuse_atregist_dtupdt_dt# duplicates
05570620011충청남도금산도서관95004문화.예술시설 및 단체<NA>0417534710417539864http://www.kslib.or.kr32746충청남도 금산군 금산읍 금산천길 28자료실<NA><NA>자료실0417534710cloud09@korea.kr37999직접입력Y2020-01-07 10:51:53.02020-01-07 10:53:27.02
15571120018강원도(강릉분소)근덕청소년문화의집95002청소년기관 및 단체<NA>0335704981335752278<NA>25933강원도 삼척시 근덕면 삼척로 3681-14근덕청소년문화의집<NA><NA><NA>0335704981@37999직접입력Y2020-01-16 01:38:08.02020-01-16 02:07:54.02
25572520008경기도수원시다문화가족지원센터95003사회복지기관 및 시설<NA>0312578504315482700https://www.liveinkorea.kr/center/main/main.do?centerId=suwonsi16305경기도 수원시 장안구 송원로 63 (송죽동)3~4층<NA>수원역 777, 310, 900센터교육팀0312578504bluered0737005naver.comY2020-01-28 05:07:50.02021-02-04 07:43:53.02
35573520008경기도토당청소년수련관95002청소년기관 및 단체<NA>0318104070318104086https://www.gcyf.or.kr/td/10512경기도 고양시 덕양구 중앙로633번길 25 (토당동)토당청소년수련관고양시 덕양구 지도공원내지하철 3호선 화정역 하차, 고양경찰서 방향 도보 20분거리 버스 버스전용차로 고양경찰서 정거장 하차 일반 7727, 700, 66, 73, 76, 97, 770, 777, 871, 850 좌석 9711, 1000, 1200, 2000, 1100, 1900, 8880, 9714, 9700 자가용 올림픽대로(강변북로) → 자유로 → 서울외곽순환고속도로 → 일산IC → 일산로 → 토당청소년수련관청소년사업팀03181040880814jy37005naver.comY2020-02-25 10:04:50.02021-04-14 09:43:05.02
45573920005광주광역시광주요양병원95006의료,보호시설 및 단체<NA>0624192097624162019<NA>62277광주광역시 광산구 임방울대로 816 (월계동)광주요양병원광주광역시 광산구 첨단메디컬센터 맞은 편 육교 앞첨단22, 첨단23, 송정33, 첨단20, 첨단193 등사회사업실0624192097lodze37005naver.comY2020-03-11 01:27:30.02020-10-07 05:24:31.02
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65574720003대구광역시대한적십자사 대구지사 RCY본부95002청소년기관 및 단체<NA>0535507120535642463<NA>41900대구광역시 중구 태평로 7 (달성동)대구적십자 RCY본부<NA><NA>RCY본부0535507120lmy6263@redcross.or.kr37999직접입력Y2020-03-24 01:30:33.02020-03-24 01:53:27.02
75575820008경기도안성청소년상담복지센터95002청소년기관 및 단체<NA>0316761318316761319<NA>17591경기도 안성시 낙원길 108 (낙원동)청소년문화의집2층<NA><NA><NA>0316910923anseong131837020hanmail.netY2020-01-22 02:28:07.02020-04-08 11:26:09.02
85576820002부산광역시부산광역시중구청소년상담복지센터95002청소년기관 및 단체<NA>0512451388512411388http://junggu1388.or.kr48954부산광역시 중구 남포길 39-2 (남포동2가)3층부산1호선 남포역 1번 출구, 도보 3분지하철 - 남포역 1번 출구, 도보 3분 버스 - 17, 87, 103, 1000번 부산데파트 하차, 도보 5분 - 27, 41번 남포역 하차, 도보 5분 - 88번 중앙동주민센터 하차, 도보 5분<NA>07042895206ydjunggu138837020hanmail.netY2020-05-14 03:46:49.02020-05-14 03:50:49.02
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