Overview

Dataset statistics

Number of variables26
Number of observations100
Missing cells200
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.4 KiB
Average record size in memory219.3 B

Variable types

Text10
Categorical7
Numeric8
Unsupported1

Alerts

lclas_nm has constant value ""Constant
mlsfc_nm is highly imbalanced (80.6%)Imbalance
origin_nm is highly imbalanced (80.6%)Imbalance
updt_dt is highly imbalanced (80.6%)Imbalance
regist_dt is highly imbalanced (80.6%)Imbalance
legaldong_cd has 100 (100.0%) missing valuesMissing
legaldong_nm has 2 (2.0%) missing valuesMissing
road_nm_cd has 6 (6.0%) missing valuesMissing
addr_eng_nm has 6 (6.0%) missing valuesMissing
adstrd_cd has 6 (6.0%) missing valuesMissing
buld_nm has 36 (36.0%) missing valuesMissing
buld_manage_cd has 6 (6.0%) missing valuesMissing
tel_no has 2 (2.0%) missing valuesMissing
zip_no has 2 (2.0%) missing valuesMissing
hmpg_url has 31 (31.0%) missing valuesMissing
adit_dc has 3 (3.0%) missing valuesMissing
esntl_id has unique valuesUnique
legaldong_cd is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 09:44:11.942919
Analysis finished2023-12-10 09:44:13.296373
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

esntl_id
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:44:13.658606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1900
Distinct characters17
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowKCICFPO20N000000001
2nd rowKCICFPO20N000000403
3rd rowKCICFPO20N000000003
4th rowKCICFPO20N000000004
5th rowKCICFPO20N000000005
ValueCountFrequency (%)
kcicfpo20n000000001 1
 
1.0%
kcicfpo20n000000063 1
 
1.0%
kcicfpo20n000000074 1
 
1.0%
kcicfpo20n000000073 1
 
1.0%
kcicfpo20n000000072 1
 
1.0%
kcicfpo20n000000071 1
 
1.0%
kcicfpo20n000000070 1
 
1.0%
kcicfpo20n000000069 1
 
1.0%
kcicfpo20n000000068 1
 
1.0%
kcicfpo20n000000067 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T18:44:14.429301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 817
43.0%
C 200
 
10.5%
2 118
 
6.2%
K 100
 
5.3%
O 100
 
5.3%
N 100
 
5.3%
P 100
 
5.3%
F 100
 
5.3%
I 100
 
5.3%
4 24
 
1.3%
Other values (7) 141
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1100
57.9%
Uppercase Letter 800
42.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 817
74.3%
2 118
 
10.7%
4 24
 
2.2%
1 21
 
1.9%
5 21
 
1.9%
3 20
 
1.8%
6 20
 
1.8%
7 20
 
1.8%
9 20
 
1.8%
8 19
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
C 200
25.0%
K 100
12.5%
O 100
12.5%
N 100
12.5%
P 100
12.5%
F 100
12.5%
I 100
12.5%

Most occurring scripts

ValueCountFrequency (%)
Common 1100
57.9%
Latin 800
42.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 817
74.3%
2 118
 
10.7%
4 24
 
2.2%
1 21
 
1.9%
5 21
 
1.9%
3 20
 
1.8%
6 20
 
1.8%
7 20
 
1.8%
9 20
 
1.8%
8 19
 
1.7%
Latin
ValueCountFrequency (%)
C 200
25.0%
K 100
12.5%
O 100
12.5%
N 100
12.5%
P 100
12.5%
F 100
12.5%
I 100
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 817
43.0%
C 200
 
10.5%
2 118
 
6.2%
K 100
 
5.3%
O 100
 
5.3%
N 100
 
5.3%
P 100
 
5.3%
F 100
 
5.3%
I 100
 
5.3%
4 24
 
1.3%
Other values (7) 141
 
7.4%

lclas_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
문화시설
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화시설 100
100.0%

Length

2023-12-10T18:44:14.690984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:44:15.215525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화시설 100
100.0%

mlsfc_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
문화시설_도서관_어린이
97 
문화시설_과학관_어린이
 
3

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row문화시설_도서관_어린이
2nd row문화시설_과학관_어린이
3rd row문화시설_도서관_어린이
4th row문화시설_도서관_어린이
5th row문화시설_도서관_어린이

Common Values

ValueCountFrequency (%)
문화시설_도서관_어린이 97
97.0%
문화시설_과학관_어린이 3
 
3.0%

Length

2023-12-10T18:44:15.405385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:44:15.625591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화시설_도서관_어린이 97
97.0%
문화시설_과학관_어린이 3
 
3.0%
Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:44:16.012594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length9.75
Min length6

Characters and Unicode

Total characters975
Distinct characters158
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)91.0%

Sample

1st row어린이도서관
2nd row국립대구과학관 어린이과학관(2021년10월예정)
3rd row행신어린이도서관
4th row대방어린이도서관
5th row동작어린이도서관
ValueCountFrequency (%)
어린이도서관 8
 
6.7%
작은도서관 5
 
4.2%
어린이 3
 
2.5%
도서관 2
 
1.7%
명촌어린이도서관 2
 
1.7%
옥현어린이도서관 2
 
1.7%
행당제2동어린이작은도서관 1
 
0.8%
소금꽃어린이도서관 1
 
0.8%
어린이&가족도서관 1
 
0.8%
용답동어린이작은도서관 1
 
0.8%
Other values (94) 94
78.3%
2023-12-10T18:44:16.759722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
10.8%
102
 
10.5%
100
 
10.3%
97
 
9.9%
96
 
9.8%
96
 
9.8%
20
 
2.1%
16
 
1.6%
16
 
1.6%
14
 
1.4%
Other values (148) 313
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 933
95.7%
Space Separator 20
 
2.1%
Decimal Number 16
 
1.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
105
 
11.3%
102
 
10.9%
100
 
10.7%
97
 
10.4%
96
 
10.3%
96
 
10.3%
16
 
1.7%
16
 
1.7%
14
 
1.5%
8
 
0.9%
Other values (138) 283
30.3%
Decimal Number
ValueCountFrequency (%)
2 7
43.8%
1 4
25.0%
3 2
 
12.5%
0 2
 
12.5%
4 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 933
95.7%
Common 42
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
105
 
11.3%
102
 
10.9%
100
 
10.7%
97
 
10.4%
96
 
10.3%
96
 
10.3%
16
 
1.7%
16
 
1.7%
14
 
1.5%
8
 
0.9%
Other values (138) 283
30.3%
Common
ValueCountFrequency (%)
20
47.6%
2 7
 
16.7%
1 4
 
9.5%
) 2
 
4.8%
3 2
 
4.8%
( 2
 
4.8%
0 2
 
4.8%
& 1
 
2.4%
, 1
 
2.4%
4 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 933
95.7%
ASCII 42
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
105
 
11.3%
102
 
10.9%
100
 
10.7%
97
 
10.4%
96
 
10.3%
96
 
10.3%
16
 
1.7%
16
 
1.7%
14
 
1.5%
8
 
0.9%
Other values (138) 283
30.3%
ASCII
ValueCountFrequency (%)
20
47.6%
2 7
 
16.7%
1 4
 
9.5%
) 2
 
4.8%
3 2
 
4.8%
( 2
 
4.8%
0 2
 
4.8%
& 1
 
2.4%
, 1
 
2.4%
4 1
 
2.4%

ctprvn_cd
Real number (ℝ)

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.49
Minimum11
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:44:16.937388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q127
median29
Q341
95-th percentile47
Maximum48
Range37
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.77439
Coefficient of variation (CV)0.39926721
Kurtosis-0.91324805
Mean29.49
Median Absolute Deviation (MAD)12
Skewness-0.32185436
Sum2949
Variance138.63626
MonotonicityNot monotonic
2023-12-10T18:44:17.147702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
41 22
22.0%
11 22
22.0%
28 14
14.0%
29 10
10.0%
30 9
9.0%
27 5
 
5.0%
31 5
 
5.0%
46 3
 
3.0%
48 3
 
3.0%
47 3
 
3.0%
Other values (2) 4
 
4.0%
ValueCountFrequency (%)
11 22
22.0%
26 2
 
2.0%
27 5
 
5.0%
28 14
14.0%
29 10
10.0%
30 9
9.0%
31 5
 
5.0%
41 22
22.0%
44 2
 
2.0%
46 3
 
3.0%
ValueCountFrequency (%)
48 3
 
3.0%
47 3
 
3.0%
46 3
 
3.0%
44 2
 
2.0%
41 22
22.0%
31 5
 
5.0%
30 9
9.0%
29 10
10.0%
28 14
14.0%
27 5
 
5.0%

ctprvn_nm
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경기도
22 
서울특별시
22 
인천광역시
14 
광주광역시
10 
대전광역시
Other values (7)
23 

Length

Max length5
Median length5
Mean length4.45
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 22
22.0%
서울특별시 22
22.0%
인천광역시 14
14.0%
광주광역시 10
10.0%
대전광역시 9
9.0%
대구광역시 5
 
5.0%
울산광역시 5
 
5.0%
전라남도 3
 
3.0%
경상남도 3
 
3.0%
경상북도 3
 
3.0%
Other values (2) 4
 
4.0%

Length

2023-12-10T18:44:17.396655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 22
22.0%
서울특별시 22
22.0%
인천광역시 14
14.0%
광주광역시 10
10.0%
대전광역시 9
9.0%
대구광역시 5
 
5.0%
울산광역시 5
 
5.0%
전라남도 3
 
3.0%
경상남도 3
 
3.0%
경상북도 3
 
3.0%
Other values (2) 4
 
4.0%

signgu_cd
Real number (ℝ)

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29750.57
Minimum11110
Maximum48240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:44:17.642384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11200
Q127230
median29170
Q341138.75
95-th percentile47173
Maximum48240
Range37130
Interquartile range (IQR)13908.75

Descriptive statistics

Standard deviation11739.879
Coefficient of variation (CV)0.39461022
Kurtosis-0.92078591
Mean29750.57
Median Absolute Deviation (MAD)11953.5
Skewness-0.30852815
Sum2975057
Variance1.3782476 × 108
MonotonicityNot monotonic
2023-12-10T18:44:17.951751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28177 9
 
9.0%
11200 8
 
8.0%
30140 7
 
7.0%
29140 5
 
5.0%
29170 4
 
4.0%
11545 4
 
4.0%
27230 3
 
3.0%
11530 3
 
3.0%
48170 2
 
2.0%
30170 2
 
2.0%
Other values (42) 53
53.0%
ValueCountFrequency (%)
11110 2
 
2.0%
11200 8
8.0%
11350 2
 
2.0%
11530 3
 
3.0%
11545 4
4.0%
11590 2
 
2.0%
11680 1
 
1.0%
26290 1
 
1.0%
26530 1
 
1.0%
27230 3
 
3.0%
ValueCountFrequency (%)
48240 1
1.0%
48170 2
2.0%
47230 2
2.0%
47170 1
1.0%
46790 1
1.0%
46110 2
2.0%
44210 1
1.0%
44200 1
1.0%
41830 1
1.0%
41590 2
2.0%

signgu_nm
Categorical

Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
북구
미추홀구
중구
성동구
서구
Other values (38)
57 

Length

Max length8
Median length7
Mean length3.34
Min length2

Unique

Unique23 ?
Unique (%)23.0%

Sample

1st row양평군
2nd row달성군
3rd row고양시 덕양구
4th row동작구
5th row동작구

Common Values

ValueCountFrequency (%)
북구 9
 
9.0%
미추홀구 9
 
9.0%
중구 9
 
9.0%
성동구 8
 
8.0%
서구 8
 
8.0%
금천구 4
 
4.0%
구로구 3
 
3.0%
남구 3
 
3.0%
화성시 2
 
2.0%
고양시 덕양구 2
 
2.0%
Other values (33) 43
43.0%

Length

2023-12-10T18:44:18.230675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북구 9
 
8.0%
중구 9
 
8.0%
미추홀구 9
 
8.0%
성동구 8
 
7.1%
서구 8
 
7.1%
수원시 5
 
4.4%
금천구 4
 
3.5%
고양시 3
 
2.7%
안산시 3
 
2.7%
성남시 3
 
2.7%
Other values (36) 52
46.0%

legaldong_cd
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

legaldong_nm
Text

MISSING 

Distinct81
Distinct (%)82.7%
Missing2
Missing (%)2.0%
Memory size932.0 B
2023-12-10T18:44:18.696337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1632653
Min length2

Characters and Unicode

Total characters310
Distinct characters103
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)67.3%

Sample

1st row양평읍
2nd row유가읍
3rd row행신동
4th row대방동
5th row노량진동
ValueCountFrequency (%)
주안동 3
 
3.0%
시흥동 3
 
3.0%
정림동 2
 
2.0%
하대동 2
 
2.0%
개봉동 2
 
2.0%
숭의동 2
 
2.0%
명촌동 2
 
2.0%
동천동 2
 
2.0%
풍암동 2
 
2.0%
태평동 2
 
2.0%
Other values (72) 78
78.0%
2023-12-10T18:44:19.452668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
30.0%
7
 
2.3%
7
 
2.3%
6
 
1.9%
6
 
1.9%
5
 
1.6%
5
 
1.6%
5
 
1.6%
5
 
1.6%
4
 
1.3%
Other values (93) 167
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
97.7%
Decimal Number 5
 
1.6%
Space Separator 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
93
30.7%
7
 
2.3%
7
 
2.3%
6
 
2.0%
6
 
2.0%
5
 
1.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
4
 
1.3%
Other values (88) 160
52.8%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
4 1
20.0%
1 1
20.0%
3 1
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
97.7%
Common 7
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
93
30.7%
7
 
2.3%
7
 
2.3%
6
 
2.0%
6
 
2.0%
5
 
1.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
4
 
1.3%
Other values (88) 160
52.8%
Common
ValueCountFrequency (%)
2 2
28.6%
2
28.6%
4 1
14.3%
1 1
14.3%
3 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
97.7%
ASCII 7
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
93
30.7%
7
 
2.3%
7
 
2.3%
6
 
2.0%
6
 
2.0%
5
 
1.7%
5
 
1.7%
5
 
1.7%
5
 
1.7%
4
 
1.3%
Other values (88) 160
52.8%
ASCII
ValueCountFrequency (%)
2 2
28.6%
2
28.6%
4 1
14.3%
1 1
14.3%
3 1
14.3%

road_nm_cd
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)95.7%
Missing6
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean2.8840543 × 1011
Minimum1.111041 × 1011
Maximum4.824048 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:44:19.786497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111041 × 1011
5-th percentile1.1200411 × 1011
Q12.6705229 × 1011
median2.9140316 × 1011
Q34.1116818 × 1011
95-th percentile4.6348417 × 1011
Maximum4.824048 × 1011
Range3.713007 × 1011
Interquartile range (IQR)1.4411589 × 1011

Descriptive statistics

Standard deviation1.149886 × 1011
Coefficient of variation (CV)0.3987047
Kurtosis-0.90194745
Mean2.8840543 × 1011
Median Absolute Deviation (MAD)1.1973993 × 1011
Skewness-0.24788505
Sum2.711011 × 1013
Variance1.3222378 × 1022
MonotonicityNot monotonic
2023-12-10T18:44:20.149914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301404295501 2
 
2.0%
312004316097 2
 
2.0%
301703166048 2
 
2.0%
311404310661 2
 
2.0%
301403000095 1
 
1.0%
414104400015 1
 
1.0%
272903147024 1
 
1.0%
281774253061 1
 
1.0%
281773151030 1
 
1.0%
281774253687 1
 
1.0%
Other values (80) 80
80.0%
(Missing) 6
 
6.0%
ValueCountFrequency (%)
111104100089 1
1.0%
111104100265 1
1.0%
112003005014 1
1.0%
112003103010 1
1.0%
112004109089 1
1.0%
112004109234 1
1.0%
112004109297 1
1.0%
112004109454 1
1.0%
112004109500 1
1.0%
112004109544 1
1.0%
ValueCountFrequency (%)
482404802605 1
1.0%
481703332017 1
1.0%
481703332016 1
1.0%
471704721050 1
1.0%
467903291050 1
1.0%
461104643541 1
1.0%
442103254072 1
1.0%
442003253047 1
1.0%
418303217015 1
1.0%
415903210145 1
1.0%
Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:44:20.720620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length24.01
Min length17

Characters and Unicode

Total characters2401
Distinct characters189
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)92.0%

Sample

1st row경기도 양평군 양평읍 양근로 240-9
2nd row대구광역시 달성군 유가읍 테크노대로6길 20
3rd row경기도 고양시 덕양구 소원로181번길 42 (행신동)
4th row서울특별시 동작구 대방동길 55 (대방동)
5th row서울특별시 동작구 장승배기로16길 98 (노량진동)
ValueCountFrequency (%)
서울특별시 22
 
4.3%
경기도 19
 
3.7%
인천광역시 14
 
2.7%
광주광역시 10
 
2.0%
북구 9
 
1.8%
중구 9
 
1.8%
대전광역시 9
 
1.8%
미추홀구 9
 
1.8%
성동구 8
 
1.6%
서구 8
 
1.6%
Other values (301) 393
77.1%
2023-12-10T18:44:21.537168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
410
 
17.1%
117
 
4.9%
106
 
4.4%
94
 
3.9%
91
 
3.8%
( 89
 
3.7%
) 89
 
3.7%
57
 
2.4%
1 55
 
2.3%
2 53
 
2.2%
Other values (179) 1240
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1458
60.7%
Space Separator 410
 
17.1%
Decimal Number 338
 
14.1%
Open Punctuation 89
 
3.7%
Close Punctuation 89
 
3.7%
Dash Punctuation 17
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
117
 
8.0%
106
 
7.3%
94
 
6.4%
91
 
6.2%
57
 
3.9%
46
 
3.2%
44
 
3.0%
39
 
2.7%
34
 
2.3%
34
 
2.3%
Other values (165) 796
54.6%
Decimal Number
ValueCountFrequency (%)
1 55
16.3%
2 53
15.7%
5 40
11.8%
4 38
11.2%
3 35
10.4%
6 27
8.0%
7 26
7.7%
0 24
7.1%
8 22
 
6.5%
9 18
 
5.3%
Space Separator
ValueCountFrequency (%)
410
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1458
60.7%
Common 943
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
117
 
8.0%
106
 
7.3%
94
 
6.4%
91
 
6.2%
57
 
3.9%
46
 
3.2%
44
 
3.0%
39
 
2.7%
34
 
2.3%
34
 
2.3%
Other values (165) 796
54.6%
Common
ValueCountFrequency (%)
410
43.5%
( 89
 
9.4%
) 89
 
9.4%
1 55
 
5.8%
2 53
 
5.6%
5 40
 
4.2%
4 38
 
4.0%
3 35
 
3.7%
6 27
 
2.9%
7 26
 
2.8%
Other values (4) 81
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1458
60.7%
ASCII 943
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
410
43.5%
( 89
 
9.4%
) 89
 
9.4%
1 55
 
5.8%
2 53
 
5.6%
5 40
 
4.2%
4 38
 
4.0%
3 35
 
3.7%
6 27
 
2.9%
7 26
 
2.8%
Other values (4) 81
 
8.6%
Hangul
ValueCountFrequency (%)
117
 
8.0%
106
 
7.3%
94
 
6.4%
91
 
6.2%
57
 
3.9%
46
 
3.2%
44
 
3.0%
39
 
2.7%
34
 
2.3%
34
 
2.3%
Other values (165) 796
54.6%
Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:44:22.203189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length25.24
Min length15

Characters and Unicode

Total characters2524
Distinct characters190
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)92.0%

Sample

1st row경기도 양평군 양평읍 양근리 257-3 양평군립도서관
2nd row대구광역시 달성군 유가읍 상리 917 국립대구과학관
3rd row경기도 고양시 덕양구 행신동 804 시립행신어린이도서관
4th row서울특별시 동작구 대방동 379-2 작은도서관 및 공영주차장
5th row서울특별시 동작구 노량진동 225-161 동작어린이도서관
ValueCountFrequency (%)
서울특별시 22
 
4.4%
경기도 19
 
3.8%
인천광역시 14
 
2.8%
광주광역시 10
 
2.0%
미추홀구 9
 
1.8%
중구 9
 
1.8%
북구 9
 
1.8%
대전광역시 9
 
1.8%
성동구 8
 
1.6%
서구 8
 
1.6%
Other values (303) 385
76.7%
2023-12-10T18:44:23.073209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
402
 
15.9%
133
 
5.3%
108
 
4.3%
94
 
3.7%
1 94
 
3.7%
- 76
 
3.0%
67
 
2.7%
67
 
2.7%
2 65
 
2.6%
57
 
2.3%
Other values (180) 1361
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1615
64.0%
Decimal Number 429
 
17.0%
Space Separator 402
 
15.9%
Dash Punctuation 76
 
3.0%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
133
 
8.2%
108
 
6.7%
94
 
5.8%
67
 
4.1%
67
 
4.1%
57
 
3.5%
45
 
2.8%
36
 
2.2%
30
 
1.9%
30
 
1.9%
Other values (166) 948
58.7%
Decimal Number
ValueCountFrequency (%)
1 94
21.9%
2 65
15.2%
3 46
10.7%
4 44
10.3%
5 40
9.3%
6 33
 
7.7%
7 32
 
7.5%
8 25
 
5.8%
9 25
 
5.8%
0 25
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1615
64.0%
Common 909
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
133
 
8.2%
108
 
6.7%
94
 
5.8%
67
 
4.1%
67
 
4.1%
57
 
3.5%
45
 
2.8%
36
 
2.2%
30
 
1.9%
30
 
1.9%
Other values (166) 948
58.7%
Common
ValueCountFrequency (%)
402
44.2%
1 94
 
10.3%
- 76
 
8.4%
2 65
 
7.2%
3 46
 
5.1%
4 44
 
4.8%
5 40
 
4.4%
6 33
 
3.6%
7 32
 
3.5%
8 25
 
2.8%
Other values (4) 52
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1615
64.0%
ASCII 909
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
402
44.2%
1 94
 
10.3%
- 76
 
8.4%
2 65
 
7.2%
3 46
 
5.1%
4 44
 
4.8%
5 40
 
4.4%
6 33
 
3.6%
7 32
 
3.5%
8 25
 
2.8%
Other values (4) 52
 
5.7%
Hangul
ValueCountFrequency (%)
133
 
8.2%
108
 
6.7%
94
 
5.8%
67
 
4.1%
67
 
4.1%
57
 
3.5%
45
 
2.8%
36
 
2.2%
30
 
1.9%
30
 
1.9%
Other values (166) 948
58.7%

addr_eng_nm
Text

MISSING 

Distinct91
Distinct (%)96.8%
Missing6
Missing (%)6.0%
Memory size932.0 B
2023-12-10T18:44:23.891433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length54
Mean length42.56383
Min length28

Characters and Unicode

Total characters4001
Distinct characters51
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)93.6%

Sample

1st row240-9, Yanggeun-ro, Yangpyeong-eup, Yangpyeong-gun, Gyeonggi-do
2nd row20, Techno-daero 6-gil, Yuga-eup, Dalseong-gun, Daegu
3rd row42, Sowon-ro 181beon-gil, Deogyang-gu, Goyang-si, Gyeonggi-do
4th row55, Daebangdong-gil, Dongjak-gu, Seoul
5th row98, Jangseungbaegi-ro 16-gil, Dongjak-gu, Seoul
ValueCountFrequency (%)
seoul 22
 
5.1%
gyeonggi-do 19
 
4.4%
incheon 14
 
3.2%
gwangju 10
 
2.3%
daejeon 9
 
2.1%
michuhol-gu 9
 
2.1%
buk-gu 9
 
2.1%
jung-gu 9
 
2.1%
seo-gu 8
 
1.9%
seongdong-gu 8
 
1.9%
Other values (244) 314
72.9%
2023-12-10T18:44:24.961139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 392
 
9.8%
n 346
 
8.6%
337
 
8.4%
g 333
 
8.3%
, 298
 
7.4%
- 277
 
6.9%
e 231
 
5.8%
u 211
 
5.3%
a 157
 
3.9%
i 122
 
3.0%
Other values (41) 1297
32.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2483
62.1%
Space Separator 337
 
8.4%
Decimal Number 308
 
7.7%
Other Punctuation 298
 
7.4%
Uppercase Letter 298
 
7.4%
Dash Punctuation 277
 
6.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 392
15.8%
n 346
13.9%
g 333
13.4%
e 231
9.3%
u 211
8.5%
a 157
 
6.3%
i 122
 
4.9%
r 92
 
3.7%
l 91
 
3.7%
h 71
 
2.9%
Other values (11) 437
17.6%
Uppercase Letter
ValueCountFrequency (%)
S 66
22.1%
G 61
20.5%
D 33
11.1%
J 28
9.4%
M 20
 
6.7%
I 19
 
6.4%
B 14
 
4.7%
H 12
 
4.0%
N 9
 
3.0%
Y 9
 
3.0%
Other values (7) 27
9.1%
Decimal Number
ValueCountFrequency (%)
1 52
16.9%
2 48
15.6%
4 36
11.7%
5 35
11.4%
3 32
10.4%
0 23
7.5%
6 23
7.5%
7 22
7.1%
8 21
6.8%
9 16
 
5.2%
Space Separator
ValueCountFrequency (%)
337
100.0%
Other Punctuation
ValueCountFrequency (%)
, 298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 277
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2781
69.5%
Common 1220
30.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 392
14.1%
n 346
12.4%
g 333
12.0%
e 231
 
8.3%
u 211
 
7.6%
a 157
 
5.6%
i 122
 
4.4%
r 92
 
3.3%
l 91
 
3.3%
h 71
 
2.6%
Other values (28) 735
26.4%
Common
ValueCountFrequency (%)
337
27.6%
, 298
24.4%
- 277
22.7%
1 52
 
4.3%
2 48
 
3.9%
4 36
 
3.0%
5 35
 
2.9%
3 32
 
2.6%
0 23
 
1.9%
6 23
 
1.9%
Other values (3) 59
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4001
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 392
 
9.8%
n 346
 
8.6%
337
 
8.4%
g 333
 
8.3%
, 298
 
7.4%
- 277
 
6.9%
e 231
 
5.8%
u 211
 
5.3%
a 157
 
3.9%
i 122
 
3.0%
Other values (41) 1297
32.4%

adstrd_cd
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)85.1%
Missing6
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean2.8840302 × 109
Minimum1.1110108 × 109
Maximum4.824032 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:44:25.278025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110108 × 109
5-th percentile1.1200109 × 109
Q12.6705108 × 109
median2.914013 × 109
Q34.1116608 × 109
95-th percentile4.6348192 × 109
Maximum4.824032 × 109
Range3.7130212 × 109
Interquartile range (IQR)1.44115 × 109

Descriptive statistics

Standard deviation1.1498878 × 109
Coefficient of variation (CV)0.39870867
Kurtosis-0.90194754
Mean2.8840302 × 109
Median Absolute Deviation (MAD)1.1974002 × 109
Skewness-0.2478834
Sum2.7109884 × 1011
Variance1.3222421 × 1018
MonotonicityNot monotonic
2023-12-10T18:44:25.634688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2817710500 3
 
3.0%
1154510300 3
 
3.0%
2914012800 2
 
2.0%
1153010700 2
 
2.0%
3120012000 2
 
2.0%
4817012000 2
 
2.0%
2817710100 2
 
2.0%
3017010400 2
 
2.0%
2917010100 2
 
2.0%
2817710400 2
 
2.0%
Other values (70) 72
72.0%
(Missing) 6
 
6.0%
ValueCountFrequency (%)
1111010800 1
1.0%
1111017300 1
1.0%
1120010600 1
1.0%
1120010700 1
1.0%
1120010800 1
1.0%
1120011000 1
1.0%
1120011200 1
1.0%
1120011400 1
1.0%
1120011500 1
1.0%
1120012200 1
1.0%
ValueCountFrequency (%)
4824032025 1
1.0%
4817012000 2
2.0%
4717014000 1
1.0%
4679025028 1
1.0%
4611016000 1
1.0%
4421010200 1
1.0%
4420011400 1
1.0%
4183025021 1
1.0%
4159025939 1
1.0%
4159011800 1
1.0%

buld_nm
Text

MISSING 

Distinct60
Distinct (%)93.8%
Missing36
Missing (%)36.0%
Memory size932.0 B
2023-12-10T18:44:26.170537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.921875
Min length5

Characters and Unicode

Total characters571
Distinct characters132
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)87.5%

Sample

1st row양평군립도서관
2nd row국립대구과학관
3rd row시립행신어린이도서관
4th row작은도서관 및 공영주차장
5th row동작어린이도서관
ValueCountFrequency (%)
행정복지센터 6
 
7.4%
어린이도서관 4
 
4.9%
명촌문화센터 2
 
2.5%
2
 
2.5%
공공복합청사 2
 
2.5%
서구어린이도서관 2
 
2.5%
옥현어린이도서관 2
 
2.5%
금호2-3가동 1
 
1.2%
주민센터 1
 
1.2%
양평군립도서관 1
 
1.2%
Other values (58) 58
71.6%
2023-12-10T18:44:26.833269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
6.1%
34
 
6.0%
34
 
6.0%
29
 
5.1%
27
 
4.7%
27
 
4.7%
25
 
4.4%
23
 
4.0%
22
 
3.9%
17
 
3.0%
Other values (122) 298
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 531
93.0%
Decimal Number 20
 
3.5%
Space Separator 17
 
3.0%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
35
 
6.6%
34
 
6.4%
34
 
6.4%
29
 
5.5%
27
 
5.1%
27
 
5.1%
25
 
4.7%
23
 
4.3%
22
 
4.1%
14
 
2.6%
Other values (112) 261
49.2%
Decimal Number
ValueCountFrequency (%)
2 8
40.0%
1 5
25.0%
3 3
 
15.0%
4 2
 
10.0%
6 1
 
5.0%
5 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 531
93.0%
Common 40
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
35
 
6.6%
34
 
6.4%
34
 
6.4%
29
 
5.5%
27
 
5.1%
27
 
5.1%
25
 
4.7%
23
 
4.3%
22
 
4.1%
14
 
2.6%
Other values (112) 261
49.2%
Common
ValueCountFrequency (%)
17
42.5%
2 8
20.0%
1 5
 
12.5%
3 3
 
7.5%
4 2
 
5.0%
6 1
 
2.5%
5 1
 
2.5%
, 1
 
2.5%
/ 1
 
2.5%
- 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 531
93.0%
ASCII 40
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
35
 
6.6%
34
 
6.4%
34
 
6.4%
29
 
5.5%
27
 
5.1%
27
 
5.1%
25
 
4.7%
23
 
4.3%
22
 
4.1%
14
 
2.6%
Other values (112) 261
49.2%
ASCII
ValueCountFrequency (%)
17
42.5%
2 8
20.0%
1 5
 
12.5%
3 3
 
7.5%
4 2
 
5.0%
6 1
 
2.5%
5 1
 
2.5%
, 1
 
2.5%
/ 1
 
2.5%
- 1
 
2.5%

buld_manage_cd
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)96.8%
Missing6
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean2.8839952 × 1024
Minimum1.1110108 × 1024
Maximum4.824032 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:44:27.119131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110108 × 1024
5-th percentile1.1200109 × 1024
Q12.6705109 × 1024
median2.9155115 × 1024
Q34.1116608 × 1024
95-th percentile4.6348192 × 1024
Maximum4.824032 × 1024
Range3.7130212 × 1024
Interquartile range (IQR)1.44115 × 1024

Descriptive statistics

Standard deviation1.1498926 × 1024
Coefficient of variation (CV)0.39871518
Kurtosis-0.90201567
Mean2.8839952 × 1024
Median Absolute Deviation (MAD)1.1959018 × 1024
Skewness-0.24778751
Sum2.7109554 × 1026
Variance1.3222531 × 1048
MonotonicityNot monotonic
2023-12-10T18:44:27.458328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.01701040010127e+24 2
 
2.0%
3.12001200010864e+24 2
 
2.0%
3.11401010010475e+24 2
 
2.0%
3.01401140010332e+24 1
 
1.0%
2.8170106001091e+24 1
 
1.0%
3.11101180010055e+24 1
 
1.0%
2.72901150010806e+24 1
 
1.0%
2.8170101001019e+24 1
 
1.0%
2.8170106001002e+24 1
 
1.0%
2.81701060010266e+24 1
 
1.0%
Other values (81) 81
81.0%
(Missing) 6
 
6.0%
ValueCountFrequency (%)
1.11101080010089e+24 1
1.0%
1.11101730010001e+24 1
1.0%
1.12001060010223e+24 1
1.0%
1.12001070010347e+24 1
1.0%
1.12001080010101e+24 1
1.0%
1.12001100011212e+24 1
1.0%
1.12001120010803e+24 1
1.0%
1.1200114001068504e+24 1
1.0%
1.12001150010333e+24 1
1.0%
1.12001220010005e+24 1
1.0%
ValueCountFrequency (%)
4.8240320251049106e+24 1
1.0%
4.8170120001011294e+24 1
1.0%
4.8170120001010306e+24 1
1.0%
4.71701400010258e+24 1
1.0%
4.6790250281086896e+24 1
1.0%
4.6110160001117504e+24 1
1.0%
4.42101020010534e+24 1
1.0%
4.42001140010448e+24 1
1.0%
4.1830250211025696e+24 1
1.0%
4.1590259391049e+24 1
1.0%

tel_no
Text

MISSING 

Distinct95
Distinct (%)96.9%
Missing2
Missing (%)2.0%
Memory size932.0 B
2023-12-10T18:44:27.955522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.969388
Min length11

Characters and Unicode

Total characters1173
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

Unique92 ?
Unique (%)93.9%

Sample

1st row031-770-2758
2nd row031-8075-9278
3rd row02-813-6740
4th row02-823-6750
5th row031-8075-9168
ValueCountFrequency (%)
052-226-2370 2
 
2.0%
042-288-4830 2
 
2.0%
052-241-7460 2
 
2.0%
042-226-9004 1
 
1.0%
02-2286-7374 1
 
1.0%
061-287-1922 1
 
1.0%
031-390-8681 1
 
1.0%
052-292-3947 1
 
1.0%
02-2286-7443 1
 
1.0%
02-2286-7383 1
 
1.0%
Other values (85) 85
86.7%
2023-12-10T18:44:28.763211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 196
16.7%
2 171
14.6%
0 166
14.2%
3 114
9.7%
8 92
7.8%
1 86
7.3%
5 85
7.2%
4 82
7.0%
6 74
 
6.3%
7 70
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 977
83.3%
Dash Punctuation 196
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 171
17.5%
0 166
17.0%
3 114
11.7%
8 92
9.4%
1 86
8.8%
5 85
8.7%
4 82
8.4%
6 74
7.6%
7 70
7.2%
9 37
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1173
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 196
16.7%
2 171
14.6%
0 166
14.2%
3 114
9.7%
8 92
7.8%
1 86
7.3%
5 85
7.2%
4 82
7.0%
6 74
 
6.3%
7 70
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 196
16.7%
2 171
14.6%
0 166
14.2%
3 114
9.7%
8 92
7.8%
1 86
7.3%
5 85
7.2%
4 82
7.0%
6 74
 
6.3%
7 70
 
6.0%

zip_no
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)94.9%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean27145.908
Minimum1715
Maximum62317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:44:29.009723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1715
5-th percentile4725.75
Q110806.75
median22137.5
Q341555
95-th percentile61903.05
Maximum62317
Range60602
Interquartile range (IQR)30748.25

Descriptive statistics

Standard deviation18753.274
Coefficient of variation (CV)0.69083243
Kurtosis-0.95829606
Mean27145.908
Median Absolute Deviation (MAD)13571
Skewness0.51862454
Sum2660299
Variance3.5168527 × 108
MonotonicityNot monotonic
2023-12-10T18:44:29.331215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34893 2
 
2.0%
44254 2
 
2.0%
35395 2
 
2.0%
38900 2
 
2.0%
44614 2
 
2.0%
4741 1
 
1.0%
4713 1
 
1.0%
15803 1
 
1.0%
44509 1
 
1.0%
4768 1
 
1.0%
Other values (83) 83
83.0%
(Missing) 2
 
2.0%
ValueCountFrequency (%)
1715 1
1.0%
1912 1
1.0%
3036 1
1.0%
3070 1
1.0%
4713 1
1.0%
4728 1
1.0%
4738 1
1.0%
4741 1
1.0%
4761 1
1.0%
4768 1
1.0%
ValueCountFrequency (%)
62317 1
1.0%
62058 1
1.0%
62048 1
1.0%
62026 1
1.0%
61909 1
1.0%
61902 1
1.0%
61227 1
1.0%
61217 1
1.0%
61155 1
1.0%
61087 1
1.0%

hmpg_url
Text

MISSING 

Distinct47
Distinct (%)68.1%
Missing31
Missing (%)31.0%
Memory size932.0 B
2023-12-10T18:44:29.969686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length34
Mean length26.985507
Min length15

Characters and Unicode

Total characters1862
Distinct characters35
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)49.3%

Sample

1st rowhttp://www.yplib.go.kr
2nd rowhttp://www.goyanglib.or.kr
3rd rowhttp://lib.dongjak.go.kr/
4th rowhttp://lib.dongjak.go.kr/
5th rowhttp://www.goyanglib.or.kr
ValueCountFrequency (%)
http://hnrl.michu.incheon.kr 9
 
13.0%
http://lib.guro.go.kr 3
 
4.3%
http://www.goyanglib.or.kr 3
 
4.3%
http://lib.siheung.go.kr 2
 
2.9%
http://www.hscitylib.or.kr 2
 
2.9%
https://www.usbl.or.kr 2
 
2.9%
www.nowonlib.kr 2
 
2.9%
http://lib.jongno.go.kr 2
 
2.9%
http://www.seogu.go.kr/learning/childlib/index.do 2
 
2.9%
www.namdonglib.go.kr 2
 
2.9%
Other values (37) 40
58.0%
2023-12-10T18:44:30.729072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 204
 
11.0%
/ 172
 
9.2%
t 131
 
7.0%
w 116
 
6.2%
o 107
 
5.7%
r 107
 
5.7%
h 105
 
5.6%
i 98
 
5.3%
n 92
 
4.9%
l 83
 
4.5%
Other values (25) 647
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1400
75.2%
Other Punctuation 439
 
23.6%
Decimal Number 23
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 131
 
9.4%
w 116
 
8.3%
o 107
 
7.6%
r 107
 
7.6%
h 105
 
7.5%
i 98
 
7.0%
n 92
 
6.6%
l 83
 
5.9%
k 73
 
5.2%
g 73
 
5.2%
Other values (14) 415
29.6%
Decimal Number
ValueCountFrequency (%)
0 7
30.4%
1 5
21.7%
5 3
13.0%
2 3
13.0%
4 2
 
8.7%
7 1
 
4.3%
3 1
 
4.3%
8 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 204
46.5%
/ 172
39.2%
: 63
 
14.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 1400
75.2%
Common 462
 
24.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 131
 
9.4%
w 116
 
8.3%
o 107
 
7.6%
r 107
 
7.6%
h 105
 
7.5%
i 98
 
7.0%
n 92
 
6.6%
l 83
 
5.9%
k 73
 
5.2%
g 73
 
5.2%
Other values (14) 415
29.6%
Common
ValueCountFrequency (%)
. 204
44.2%
/ 172
37.2%
: 63
 
13.6%
0 7
 
1.5%
1 5
 
1.1%
5 3
 
0.6%
2 3
 
0.6%
4 2
 
0.4%
7 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 204
 
11.0%
/ 172
 
9.2%
t 131
 
7.0%
w 116
 
6.2%
o 107
 
5.7%
r 107
 
5.7%
h 105
 
5.6%
i 98
 
5.3%
n 92
 
4.9%
l 83
 
4.5%
Other values (25) 647
34.7%

fclty_la
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.707867
Minimum34.781942
Maximum37.726543
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:44:31.028861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.781942
5-th percentile35.124337
Q135.869959
median37.302451
Q337.473869
95-th percentile37.615231
Maximum37.726543
Range2.9446013
Interquartile range (IQR)1.6039102

Descriptive statistics

Standard deviation0.96761919
Coefficient of variation (CV)0.026359995
Kurtosis-1.1872778
Mean36.707867
Median Absolute Deviation (MAD)0.26979475
Skewness-0.6875517
Sum3670.7867
Variance0.93628689
MonotonicityNot monotonic
2023-12-10T18:44:31.396297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.5391622 2
 
2.0%
35.5551405 2
 
2.0%
37.4859109 1
 
1.0%
37.4612766 1
 
1.0%
37.3721577 1
 
1.0%
35.5634752 1
 
1.0%
37.4627916 1
 
1.0%
37.4659192 1
 
1.0%
37.4637642 1
 
1.0%
37.4755613 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
34.7819417 1
1.0%
34.8148306 1
1.0%
35.0595325 1
1.0%
35.0604876 1
1.0%
35.118852 1
1.0%
35.1246261 1
1.0%
35.1271913 1
1.0%
35.1297972 1
1.0%
35.1411028 1
1.0%
35.1631792 1
1.0%
ValueCountFrequency (%)
37.726543 1
1.0%
37.668464 1
1.0%
37.6579509 1
1.0%
37.632833 1
1.0%
37.6235884 1
1.0%
37.614791 1
1.0%
37.5886859 1
1.0%
37.5804256 1
1.0%
37.564066 1
1.0%
37.5614998 1
1.0%

fclty_lo
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.28832
Minimum126.38885
Maximum129.39305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:44:31.638675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.38885
5-th percentile126.64778
Q1126.84509
median127.00072
Q3127.39899
95-th percentile129.26845
Maximum129.39305
Range3.0042028
Interquartile range (IQR)0.5539059

Descriptive statistics

Standard deviation0.7903011
Coefficient of variation (CV)0.0062087481
Kurtosis1.4392562
Mean127.28832
Median Absolute Deviation (MAD)0.19640425
Skewness1.6232753
Sum12728.832
Variance0.62457583
MonotonicityNot monotonic
2023-12-10T18:44:32.405123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3684536 2
 
2.0%
129.3553039 2
 
2.0%
129.264824 2
 
2.0%
127.4943424 1
 
1.0%
126.696806 1
 
1.0%
126.4256009 1
 
1.0%
126.9321487 1
 
1.0%
129.3372937 1
 
1.0%
126.6473658 1
 
1.0%
126.6870517 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
126.388845 1
1.0%
126.4256009 1
1.0%
126.462873 1
1.0%
126.641031 1
1.0%
126.6473658 1
1.0%
126.6478065 1
1.0%
126.6563009 1
1.0%
126.6612852 1
1.0%
126.6738077 1
1.0%
126.6765574 1
1.0%
ValueCountFrequency (%)
129.3930478 1
1.0%
129.3553039 2
2.0%
129.3551782 1
1.0%
129.3372937 1
1.0%
129.264824 2
2.0%
129.09952 1
1.0%
128.9670224 1
1.0%
128.7298289 1
1.0%
128.6160517 1
1.0%
128.605915 1
1.0%

origin_nm
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
공공데이터
97 
문화정보원
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공데이터
2nd row문화정보원
3rd row공공데이터
4th row공공데이터
5th row공공데이터

Common Values

ValueCountFrequency (%)
공공데이터 97
97.0%
문화정보원 3
 
3.0%

Length

2023-12-10T18:44:32.739566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:44:32.983133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공데이터 97
97.0%
문화정보원 3
 
3.0%

adit_dc
Text

MISSING 

Distinct97
Distinct (%)100.0%
Missing3
Missing (%)3.0%
Memory size932.0 B
2023-12-10T18:44:33.493645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length288
Median length269
Mean length254.62887
Min length229

Characters and Unicode

Total characters24699
Distinct characters177
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)100.0%

Sample

1st row휴관일 : 매주월/공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 18:00,공휴일운영시작시각 : 09:00,공휴일운영종료시각 : 18:00,열람좌석수 : 475,자료수(도서) : 80327,자료수(연속간행물) : 16,자료수(비도서) : 5481,부지면적 : 5236,건물면적 : 1970,도서관유형 : 공공도서관,운영기관명 : 경기도 양평군청,제공기관기관명 : 경기도 양평군
2nd row휴관일 : 2+4번째 월요일+일요일을 제외한 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 18:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 0,자료수(도서) : 111280,자료수(연속간행물) : 20,자료수(비도서) : 892,부지면적 : 1050.5,건물면적 : 1687.72,도서관유형 : 어린이도서관,운영기관명 : 경기도 고양시청,제공기관기관명 : 경기도 고양시
3rd row휴관일 : 매주 월요일, 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 17:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 50,자료수(도서) : 25006,자료수(연속간행물) : 13,자료수(비도서) : 344,부지면적 : 378,건물면적 : 391.3,도서관유형 : 공공도서관,운영기관명 : 서울특별시 동작구청,제공기관기관명 : 서울특별시 동작구
4th row휴관일 : 매주 월요일, 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 17:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 130,자료수(도서) : 49508,자료수(연속간행물) : 35,자료수(비도서) : 1149,부지면적 : 1544,건물면적 : 444.3,도서관유형 : 공공도서관,운영기관명 : 서울특별시 동작구청,제공기관기관명 : 서울특별시 동작구
5th row휴관일 : 2+4번째 월요일+일요일을 제외한 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 18:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 0,자료수(도서) : 137750,자료수(연속간행물) : 38,자료수(비도서) : 1363,부지면적 : 1500,건물면적 : 2049.78,도서관유형 : 어린이도서관,운영기관명 : 경기도 고양시청,제공기관기관명 : 경기도 고양시
ValueCountFrequency (%)
1552
44.3%
휴관일 97
 
2.8%
18:00,토요일운영시작시각 65
 
1.9%
00:00,공휴일운영종료시각 61
 
1.7%
00:00,열람좌석수 61
 
1.7%
0,부지면적 54
 
1.5%
09:00,평일운영종료시각 49
 
1.4%
공공도서관,운영기관명 43
 
1.2%
09:00,토요일운영종료시각 42
 
1.2%
18:00,공휴일운영시작시각 42
 
1.2%
Other values (607) 1439
41.1%
2023-12-10T18:44:34.285588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3408
 
13.8%
: 2139
 
8.7%
0 1954
 
7.9%
, 1542
 
6.2%
1023
 
4.1%
895
 
3.6%
681
 
2.8%
680
 
2.8%
598
 
2.4%
1 590
 
2.4%
Other values (167) 11189
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12947
52.4%
Decimal Number 3985
 
16.1%
Other Punctuation 3748
 
15.2%
Space Separator 3408
 
13.8%
Close Punctuation 301
 
1.2%
Open Punctuation 301
 
1.2%
Math Symbol 7
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1023
 
7.9%
895
 
6.9%
681
 
5.3%
680
 
5.3%
598
 
4.6%
583
 
4.5%
582
 
4.5%
458
 
3.5%
446
 
3.4%
444
 
3.4%
Other values (147) 6557
50.6%
Decimal Number
ValueCountFrequency (%)
0 1954
49.0%
1 590
 
14.8%
8 244
 
6.1%
9 225
 
5.6%
2 196
 
4.9%
3 181
 
4.5%
5 161
 
4.0%
7 152
 
3.8%
4 151
 
3.8%
6 131
 
3.3%
Other Punctuation
ValueCountFrequency (%)
: 2139
57.1%
, 1542
41.1%
. 52
 
1.4%
/ 12
 
0.3%
· 3
 
0.1%
Space Separator
ValueCountFrequency (%)
3408
100.0%
Close Punctuation
ValueCountFrequency (%)
) 301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 301
100.0%
Math Symbol
ValueCountFrequency (%)
+ 7
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12949
52.4%
Common 11750
47.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1023
 
7.9%
895
 
6.9%
681
 
5.3%
680
 
5.3%
598
 
4.6%
583
 
4.5%
582
 
4.5%
458
 
3.5%
446
 
3.4%
444
 
3.4%
Other values (148) 6559
50.7%
Common
ValueCountFrequency (%)
3408
29.0%
: 2139
18.2%
0 1954
16.6%
, 1542
13.1%
1 590
 
5.0%
) 301
 
2.6%
( 301
 
2.6%
8 244
 
2.1%
9 225
 
1.9%
2 196
 
1.7%
Other values (9) 850
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12947
52.4%
ASCII 11747
47.6%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3408
29.0%
: 2139
18.2%
0 1954
16.6%
, 1542
13.1%
1 590
 
5.0%
) 301
 
2.6%
( 301
 
2.6%
8 244
 
2.1%
9 225
 
1.9%
2 196
 
1.7%
Other values (8) 847
 
7.2%
Hangul
ValueCountFrequency (%)
1023
 
7.9%
895
 
6.9%
681
 
5.3%
680
 
5.3%
598
 
4.6%
583
 
4.5%
582
 
4.5%
458
 
3.5%
446
 
3.4%
444
 
3.4%
Other values (147) 6557
50.6%
None
ValueCountFrequency (%)
· 3
60.0%
2
40.0%

updt_dt
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20201130120000
97 
20201201120000
 
3

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20201130120000
2nd row20201201120000
3rd row20201130120000
4th row20201130120000
5th row20201130120000

Common Values

ValueCountFrequency (%)
20201130120000 97
97.0%
20201201120000 3
 
3.0%

Length

2023-12-10T18:44:34.628865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:44:34.809381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20201130120000 97
97.0%
20201201120000 3
 
3.0%

regist_dt
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20201130120000
97 
20201201120000
 
3

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20201130120000
2nd row20201201120000
3rd row20201130120000
4th row20201130120000
5th row20201130120000

Common Values

ValueCountFrequency (%)
20201130120000 97
97.0%
20201201120000 3
 
3.0%

Length

2023-12-10T18:44:34.990562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:44:35.171210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20201130120000 97
97.0%
20201201120000 3
 
3.0%

Sample

esntl_idlclas_nmmlsfc_nmfclty_nmctprvn_cdctprvn_nmsigngu_cdsigngu_nmlegaldong_cdlegaldong_nmroad_nm_cdfclty_road_nm_addrlnm_addraddr_eng_nmadstrd_cdbuld_nmbuld_manage_cdtel_nozip_nohmpg_urlfclty_lafclty_loorigin_nmadit_dcupdt_dtregist_dt
0KCICFPO20N000000001문화시설문화시설_도서관_어린이어린이도서관41경기도41830양평군<NA>양평읍418303217015경기도 양평군 양평읍 양근로 240-9경기도 양평군 양평읍 양근리 257-3 양평군립도서관240-9, Yanggeun-ro, Yangpyeong-eup, Yangpyeong-gun, Gyeonggi-do4183025021양평군립도서관4183025021102570003019760031-770-275812562http://www.yplib.go.kr37.485911127.494342공공데이터휴관일 : 매주월/공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 18:00,공휴일운영시작시각 : 09:00,공휴일운영종료시각 : 18:00,열람좌석수 : 475,자료수(도서) : 80327,자료수(연속간행물) : 16,자료수(비도서) : 5481,부지면적 : 5236,건물면적 : 1970,도서관유형 : 공공도서관,운영기관명 : 경기도 양평군청,제공기관기관명 : 경기도 양평군2020113012000020201130120000
1KCICFPO20N000000403문화시설문화시설_과학관_어린이국립대구과학관 어린이과학관(2021년10월예정)27대구광역시27710달성군<NA>유가읍277104244651대구광역시 달성군 유가읍 테크노대로6길 20대구광역시 달성군 유가읍 상리 917 국립대구과학관20, Techno-daero 6-gil, Yuga-eup, Dalseong-gun, Daegu2771025927국립대구과학관2771037027100000000000005<NA>43023<NA>35.688128128.46479문화정보원<NA>2020120112000020201201120000
2KCICFPO20N000000003문화시설문화시설_도서관_어린이행신어린이도서관41경기도41281고양시 덕양구<NA>행신동412814376146경기도 고양시 덕양구 소원로181번길 42 (행신동)경기도 고양시 덕양구 행신동 804 시립행신어린이도서관42, Sowon-ro 181beon-gil, Deogyang-gu, Goyang-si, Gyeonggi-do4128112800시립행신어린이도서관4128112800108040000001052031-8075-927810531http://www.goyanglib.or.kr37.614791126.843466공공데이터휴관일 : 2+4번째 월요일+일요일을 제외한 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 18:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 0,자료수(도서) : 111280,자료수(연속간행물) : 20,자료수(비도서) : 892,부지면적 : 1050.5,건물면적 : 1687.72,도서관유형 : 어린이도서관,운영기관명 : 경기도 고양시청,제공기관기관명 : 경기도 고양시2020113012000020201130120000
3KCICFPO20N000000004문화시설문화시설_도서관_어린이대방어린이도서관11서울특별시11590동작구<NA>대방동115904157106서울특별시 동작구 대방동길 55 (대방동)서울특별시 동작구 대방동 379-2 작은도서관 및 공영주차장55, Daebangdong-gil, Dongjak-gu, Seoul1159010800작은도서관 및 공영주차장115901080010379000200342402-813-67406945http://lib.dongjak.go.kr/37.503024126.925222공공데이터휴관일 : 매주 월요일, 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 17:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 50,자료수(도서) : 25006,자료수(연속간행물) : 13,자료수(비도서) : 344,부지면적 : 378,건물면적 : 391.3,도서관유형 : 공공도서관,운영기관명 : 서울특별시 동작구청,제공기관기관명 : 서울특별시 동작구2020113012000020201130120000
4KCICFPO20N000000005문화시설문화시설_도서관_어린이동작어린이도서관11서울특별시11590동작구<NA>노량진동115904157578서울특별시 동작구 장승배기로16길 98 (노량진동)서울특별시 동작구 노량진동 225-161 동작어린이도서관98, Jangseungbaegi-ro 16-gil, Dongjak-gu, Seoul1159010100동작어린이도서관115901010010225016103141202-823-67506926http://lib.dongjak.go.kr/37.509204126.943434공공데이터휴관일 : 매주 월요일, 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 17:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 130,자료수(도서) : 49508,자료수(연속간행물) : 35,자료수(비도서) : 1149,부지면적 : 1544,건물면적 : 444.3,도서관유형 : 공공도서관,운영기관명 : 서울특별시 동작구청,제공기관기관명 : 서울특별시 동작구2020113012000020201130120000
5KCICFPO20N000000006문화시설문화시설_도서관_어린이주엽어린이도서관41경기도41287고양시 일산서구<NA>주엽동412873193052경기도 고양시 일산서구 주엽로 104 (주엽동)경기도 고양시 일산서구 주엽동 122 주엽어린이도서관104, Juyeop-ro, Ilsanseo-gu, Goyang-si, Gyeonggi-do4128710200주엽어린이도서관4128710200101230000001022031-8075-916810385http://www.goyanglib.or.kr37.668464126.756504공공데이터휴관일 : 2+4번째 월요일+일요일을 제외한 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 18:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 0,자료수(도서) : 137750,자료수(연속간행물) : 38,자료수(비도서) : 1363,부지면적 : 1500,건물면적 : 2049.78,도서관유형 : 어린이도서관,운영기관명 : 경기도 고양시청,제공기관기관명 : 경기도 고양시2020113012000020201130120000
6KCICFPO20N000000007문화시설문화시설_도서관_어린이청개구리어린이도서관28인천광역시28237부평구<NA>산곡동282373154063인천광역시 부평구 화랑북로 15-3 (산곡동)인천광역시 부평구 산곡동 317-11915-3, Hwarangbuk-ro, Bupyeong-gu, Incheon2823710300<NA>2823710300103170119016817032-521-204021380cafe.daum.net/treefrog521204037.495795126.704829공공데이터휴관일 : 매주 월, 일요일 및 법정공휴일,평일운영시작시각 : 10:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 10:00,토요일운영종료시각 : 15:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 50,자료수(도서) : 7854,자료수(연속간행물) : 7,자료수(비도서) : 0,부지면적 : ,건물면적 : 100,도서관유형 : 작은도서관,운영기관명 : 개인,제공기관기관명 : 인천광역시 부평구2020113012000020201130120000
7KCICFPO20N000000404문화시설문화시설_과학관_어린이판교어린이천문대41경기도41130성남시<NA><NA><NA>경기 성남시 수정구 달래내로377번길 11경기 성남시 수정구 상적동 273-2<NA><NA><NA><NA>031-722-3245<NA><NA>37.426909127.070987문화정보원<NA>2020120112000020201201120000
8KCICFPO20N000000009문화시설문화시설_도서관_어린이화정어린이도서관41경기도41281고양시 덕양구<NA>화정동412813192087경기도 고양시 덕양구 화신로 323 (화정동)경기도 고양시 덕양구 화정동 945 시립화정어린이도서관323, Hwasin-ro, Deogyang-gu, Goyang-si, Gyeonggi-do4128112300시립화정어린이도서관4128112300109450000017284031-8075-929910501http://www.goyanglib.or.kr37.632833126.826303공공데이터휴관일 : 1+3번째 월요일+일요일을 제외한 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 18:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 0,자료수(도서) : 109422,자료수(연속간행물) : 25,자료수(비도서) : 1056,부지면적 : 1002.1,건물면적 : 1688.7,도서관유형 : 어린이도서관,운영기관명 : 경기도 고양시청,제공기관기관명 : 경기도 고양시2020113012000020201130120000
9KCICFPO20N000000010문화시설문화시설_도서관_어린이의정부어린이도서관41경기도41150의정부시<NA>호원동411503181055경기도 의정부시 회룡로 79 (호원동)경기도 의정부시 호원동 319-25 의정부어린이도서관79, Hoeryong-ro, Uijeongbu-si, Gyeonggi-do4115010200의정부어린이도서관4115010200103190025015099031-828-871111634http://ucl.uilib.go.kr37.726543127.042606공공데이터휴관일 : 매주 금요일, 일요일을 제외한 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 18:00,공휴일운영시작시각 : 09:00,공휴일운영종료시각 : 18:00,열람좌석수 : 189,자료수(도서) : 105185,자료수(연속간행물) : 51,자료수(비도서) : 2856,부지면적 : 1978,건물면적 : 2185,도서관유형 : 공공도서관,운영기관명 : 경기도 의정부시 도서관운영과,제공기관기관명 : 경기도 의정부시2020113012000020201130120000
esntl_idlclas_nmmlsfc_nmfclty_nmctprvn_cdctprvn_nmsigngu_cdsigngu_nmlegaldong_cdlegaldong_nmroad_nm_cdfclty_road_nm_addrlnm_addraddr_eng_nmadstrd_cdbuld_nmbuld_manage_cdtel_nozip_nohmpg_urlfclty_lafclty_loorigin_nmadit_dcupdt_dtregist_dt
90KCICFPO20N000000091문화시설문화시설_도서관_어린이환호동 환호어린이47경상북도47230영천시<NA>고경면 도암리<NA>경북 영천시 고경면 호국로 575-266경북 영천시 고경면 도암리 677-1<NA><NA><NA><NA>054-251-557838900http://phlib.pohang.go.kr/36.067715129.393048공공데이터휴관일 : 매주 일, 월요일/ 법정 공휴일,평일운영시작시각 : 10:00,평일운영종료시각 : 17:00,토요일운영시작시각 : 10:00,토요일운영종료시각 : 17:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 23:59,열람좌석수 : 30,자료수(도서) : 7735,자료수(연속간행물) : 0,자료수(비도서) : 0,부지면적 : 227,건물면적 : 227,도서관유형 : 공공도서관,운영기관명 : 경상북도 포항시 평생학습원 시립도서관,제공기관기관명 : 경상북도 포항시2020113012000020201130120000
91KCICFPO20N000000092문화시설문화시설_도서관_어린이못골한옥어린이도서관11서울특별시11680강남구<NA>자곡동116804166876서울특별시 강남구 자곡로7길 3 (자곡동)서울특별시 강남구 자곡동 6073, Jagok-ro 7-gil, Gangnam-gu, Seoul1168011200<NA>116801120010480000000000102-2226-59306372http://library.gangnam.go.kr/37.473305127.099728공공데이터휴관일 : 첫째(셋째)월요일,일요일을 제외한 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 17:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 68,자료수(도서) : 17788,자료수(연속간행물) : 2,자료수(비도서) : 0,부지면적 : 21561,건물면적 : 372,도서관유형 : 어린이도서관,운영기관명 : 서울특별시 강남구청,제공기관기관명 : 서울특별시 강남구2020113012000020201130120000
92KCICFPO20N000000093문화시설문화시설_도서관_어린이목동어린이도서관30대전광역시30140중구<NA>목동301404295280대전광역시 중구 목중로35번길 29 (목동)대전광역시 중구 목동 35-11429, Mokjung-ro 35beon-gil, Jung-gu, Daejeon3014010300<NA>3014010300100350114031097042-253-322634816<NA>36.335831127.409196공공데이터휴관일 : 일,공휴일,평일운영시작시각 : 10:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 10:00,토요일운영종료시각 : 15:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 24,자료수(도서) : 3300,자료수(연속간행물) : 2,자료수(비도서) : 0,부지면적 : 42.1,건물면적 : 60,도서관유형 : 작은도서관,운영기관명 : 한우리논술학원,제공기관기관명 : 대전광역시 중구2020113012000020201130120000
93KCICFPO20N000000094문화시설문화시설_도서관_어린이어린이책 읽새 골목길 작은도서관30대전광역시30140중구<NA>문화동301404295023대전광역시 중구 계룡로918번길 44-6 (문화동)대전광역시 중구 문화동 1-7344-6, Gyeryong-ro 918beon-gil, Jung-gu, Daejeon3014011600<NA>3014011600100010073023960042-242-031334955<NA>36.320021127.412511공공데이터휴관일 : 목,일,공휴일,평일운영시작시각 : 10:00,평일운영종료시각 : 19:00,토요일운영시작시각 : 10:00,토요일운영종료시각 : 14:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 30,자료수(도서) : 3800,자료수(연속간행물) : 2,자료수(비도서) : 0,부지면적 : 115.35,건물면적 : 79.2,도서관유형 : 작은도서관,운영기관명 : 개인,제공기관기관명 : 대전광역시 중구2020113012000020201130120000
94KCICFPO20N000000095문화시설문화시설_도서관_어린이열두광주리어린이도서관30대전광역시30140중구<NA>태평동301404295501대전광역시 중구 수침로55번길 25 (태평동)대전광역시 중구 태평동 266-525, Suchim-ro 55beon-gil, Jung-gu, Daejeon3014011400<NA>3014011400102660005028655042-537-501234893<NA>36.324948127.399287공공데이터휴관일 : 토,일,공휴일,평일운영시작시각 : 10:00,평일운영종료시각 : 19:00,토요일운영시작시각 : 00:00,토요일운영종료시각 : 00:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 25,자료수(도서) : 2500,자료수(연속간행물) : 30,자료수(비도서) : 0,부지면적 : 105,건물면적 : 105,도서관유형 : 작은도서관,운영기관명 : 열두광주리지역아동센터,제공기관기관명 : 대전광역시 중구2020113012000020201130120000
95KCICFPO20N000000096문화시설문화시설_도서관_어린이유천어린이도서관30대전광역시30140중구<NA>유천동301403000095대전광역시 중구 계백로 1546 (유천동)대전광역시 중구 유천동 328-71546, Gyebaek-ro, Jung-gu, Daejeon3014011500<NA>3014011500103280007030558042-584-142434977<NA>36.316678127.391964공공데이터휴관일 : 토,일,공휴일,평일운영시작시각 : 10:00,평일운영종료시각 : 20:00,토요일운영시작시각 : 00:00,토요일운영종료시각 : 00:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 20,자료수(도서) : 3000,자료수(연속간행물) : 10,자료수(비도서) : 90,부지면적 : 75.63,건물면적 : 60,도서관유형 : 작은도서관,운영기관명 : 유천지역아동센터,제공기관기관명 : 대전광역시 중구2020113012000020201130120000
96KCICFPO20N000000097문화시설문화시설_도서관_어린이중촌마을어린이도서관(짜장)30대전광역시30140중구<NA>중촌동301404295284대전광역시 중구 목중로70번길 15 (중촌동)대전광역시 중구 중촌동 62-215, Mokjung-ro 70beon-gil, Jung-gu, Daejeon3014010400<NA>3014010400100620002001328042-226-353434808http://cafe.naver.com/jjajang36.339303127.407855공공데이터휴관일 : 월,일,공휴일,평일운영시작시각 : 10:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 10:00,토요일운영종료시각 : 15:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 25,자료수(도서) : 7450,자료수(연속간행물) : 2,자료수(비도서) : 0,부지면적 : 99.54,건물면적 : 83.1,도서관유형 : 작은도서관,운영기관명 : 마을단위/회원,제공기관기관명 : 대전광역시 중구2020113012000020201130120000
97KCICFPO20N000000098문화시설문화시설_도서관_어린이짝꿍마을어린이도서관30대전광역시30140중구<NA>태평동301404295501대전광역시 중구 수침로55번길 36 (태평동)대전광역시 중구 태평동 332-736, Suchim-ro 55beon-gil, Jung-gu, Daejeon3014011400<NA>3014011400103320007020464042-383-333034893<NA>36.325361127.398894공공데이터휴관일 : 월,일,공휴일,평일운영시작시각 : 10:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 10:00,토요일운영종료시각 : 15:00,공휴일운영시작시각 : 00:00,공휴일운영종료시각 : 00:00,열람좌석수 : 6,자료수(도서) : 8118,자료수(연속간행물) : 2,자료수(비도서) : 5,부지면적 : 96.9,건물면적 : 118,도서관유형 : 작은도서관,운영기관명 : 마을단위/회원,제공기관기관명 : 대전광역시 중구2020113012000020201130120000
98KCICFPO20N000000099문화시설문화시설_도서관_어린이하하호호 어린이도서관30대전광역시30140중구<NA>선화동301404295461대전광역시 중구 선화로53번길 43 (선화동)대전광역시 중구 선화동 339-1243, Seonhwa-ro 53beon-gil, Jung-gu, Daejeon3014010200<NA>3014010200103390012013951042-226-900434853<NA>36.329148127.413735공공데이터휴관일 : 토요일,평일운영시작시각 : 14:00,평일운영종료시각 : 19:00,토요일운영시작시각 : 00:00,토요일운영종료시각 : 00:00,공휴일운영시작시각 : 13:00,공휴일운영종료시각 : 16:00,열람좌석수 : 18,자료수(도서) : 2700,자료수(연속간행물) : 0,자료수(비도서) : 0,부지면적 : ,건물면적 : ,도서관유형 : 작은도서관,운영기관명 : 빈들지역아동센터,제공기관기관명 : 대전광역시 중구2020113012000020201130120000
99KCICFPO20N000000100문화시설문화시설_도서관_어린이달서어린이도서관27대구광역시27290달서구<NA>상인동272903147024대구광역시 달서구 송현로 45 (상인동)대구광역시 달서구 상인동 806-1 달서어린이도서관45, Songhyeon-ro, Dalseo-gu, Daegu2729011500달서어린이도서관2729011500108060001001658053-667-486042802http://www.dalseolib.kr35.822487128.547012공공데이터휴관일 : 매주 금요일 및 법정공휴일,평일운영시작시각 : 09:00,평일운영종료시각 : 18:00,토요일운영시작시각 : 09:00,토요일운영종료시각 : 17:00,공휴일운영시작시각 : 09:00,공휴일운영종료시각 : 17:00,열람좌석수 : 155,자료수(도서) : 87481,자료수(연속간행물) : 17,자료수(비도서) : 4240,부지면적 : 523.4,건물면적 : 1380.24,도서관유형 : 공공도서관,운영기관명 : 대구광역시 달서구청,제공기관기관명 : 대구광역시 달서구2020113012000020201130120000