Overview

Dataset statistics

Number of variables12
Number of observations590
Missing cells82
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.9 KiB
Average record size in memory102.2 B

Variable types

Numeric5
Categorical3
Text4

Dataset

Description도서ID,카테고리ID,카테고리명,도서명,발행기관,판매여부,판매가,간략설명,출판년도,페이지수,도서이미지경로,판매량
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15462/S/1/datasetView.do

Alerts

카테고리명 is highly overall correlated with 카테고리IDHigh correlation
카테고리ID is highly overall correlated with 카테고리명High correlation
도서ID is highly overall correlated with 출판년도High correlation
출판년도 is highly overall correlated with 도서IDHigh correlation
판매여부 is highly imbalanced (76.3%)Imbalance
간략설명 has 82 (13.9%) missing valuesMissing
도서ID has unique valuesUnique
도서명 has unique valuesUnique
도서이미지경로 has unique valuesUnique
페이지수 has 242 (41.0%) zerosZeros
판매량 has 58 (9.8%) zerosZeros

Reproduction

Analysis started2024-05-04 06:24:06.508810
Analysis finished2024-05-04 06:24:19.291619
Duration12.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서ID
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct590
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10264.897
Minimum149
Maximum15496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-04T06:24:19.546040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum149
5-th percentile4095.45
Q17217
median10825.5
Q313417.75
95-th percentile15108.8
Maximum15496
Range15347
Interquartile range (IQR)6200.75

Descriptive statistics

Standard deviation3680.464
Coefficient of variation (CV)0.35854857
Kurtosis-0.74155818
Mean10264.897
Median Absolute Deviation (MAD)2912
Skewness-0.42535747
Sum6056289
Variance13545815
MonotonicityStrictly decreasing
2024-05-04T06:24:20.044804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15496 1
 
0.2%
8145 1
 
0.2%
8474 1
 
0.2%
8454 1
 
0.2%
8438 1
 
0.2%
8436 1
 
0.2%
8434 1
 
0.2%
8417 1
 
0.2%
8357 1
 
0.2%
8354 1
 
0.2%
Other values (580) 580
98.3%
ValueCountFrequency (%)
149 1
0.2%
152 1
0.2%
243 1
0.2%
294 1
0.2%
729 1
0.2%
1141 1
0.2%
1142 1
0.2%
1442 1
0.2%
1581 1
0.2%
1841 1
0.2%
ValueCountFrequency (%)
15496 1
0.2%
15477 1
0.2%
15476 1
0.2%
15457 1
0.2%
15456 1
0.2%
15439 1
0.2%
15438 1
0.2%
15437 1
0.2%
15436 1
0.2%
15417 1
0.2%

카테고리ID
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
103000000
337 
102000000
115 
101000000
66 
104000000
63 
105000000
 
9

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row103000000
2nd row103000000
3rd row103000000
4th row103000000
5th row103000000

Common Values

ValueCountFrequency (%)
103000000 337
57.1%
102000000 115
 
19.5%
101000000 66
 
11.2%
104000000 63
 
10.7%
105000000 9
 
1.5%

Length

2024-05-04T06:24:20.593801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:24:20.984010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
103000000 337
57.1%
102000000 115
 
19.5%
101000000 66
 
11.2%
104000000 63
 
10.7%
105000000 9
 
1.5%

카테고리명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
역사/사료
337 
문화/관광
115 
일반행정
66 
연구/논문
63 
통계
 
9

Length

Max length5
Median length5
Mean length4.8423729
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row역사/사료
2nd row역사/사료
3rd row역사/사료
4th row역사/사료
5th row역사/사료

Common Values

ValueCountFrequency (%)
역사/사료 337
57.1%
문화/관광 115
 
19.5%
일반행정 66
 
11.2%
연구/논문 63
 
10.7%
통계 9
 
1.5%

Length

2024-05-04T06:24:21.389648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:24:21.868211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
역사/사료 337
57.1%
문화/관광 115
 
19.5%
일반행정 66
 
11.2%
연구/논문 63
 
10.7%
통계 9
 
1.5%

도서명
Text

UNIQUE 

Distinct590
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-04T06:24:22.820833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length33
Mean length18.966102
Min length4

Characters and Unicode

Total characters11190
Distinct characters595
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique590 ?
Unique (%)100.0%

Sample

1st row바닷길에서 찾은 보물 : 2024 선사고대기획전
2nd row서울시 무형문화재(소목장) 창호
3rd row서울시 무형문화재 제13호(매듭장)
4th row백제의 한강유역 회복과 고구려 신라(백제학연구총서 쟁점백제사23)
5th row돌에 새긴 서울사(서울역사강좌17)
ValueCountFrequency (%)
서울의 75
 
3.7%
서울 45
 
2.2%
41
 
2.0%
서울2천년사 26
 
1.3%
서울과 24
 
1.2%
역사 24
 
1.2%
2천년사 14
 
0.7%
백제학연구총서 14
 
0.7%
서울시 11
 
0.5%
2021 11
 
0.5%
Other values (1380) 1747
86.0%
2024-05-04T06:24:24.135185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1490
 
13.3%
서 551
 
4.9%
울 437
 
3.9%
사 289
 
2.6%
( 252
 
2.3%
) 250
 
2.2%
1 225
 
2.0%
2 224
 
2.0%
의 216
 
1.9%
제 174
 
1.6%
Other values (585) 7082
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7659
68.4%
Space Separator 1490
 
13.3%
Decimal Number 953
 
8.5%
Open Punctuation 252
 
2.3%
Close Punctuation 250
 
2.2%
Other Punctuation 207
 
1.8%
Lowercase Letter 179
 
1.6%
Uppercase Letter 130
 
1.2%
Dash Punctuation 46
 
0.4%
Math Symbol 8
 
0.1%
Other values (5) 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 551
 
7.2%
울 437
 
5.7%
사 289
 
3.8%
의 216
 
2.8%
제 174
 
2.3%
시 159
 
2.1%
기 141
 
1.8%
백 130
 
1.7%
역 118
 
1.5%
문 118
 
1.5%
Other values (502) 5326
69.5%
Uppercase Letter
ValueCountFrequency (%)
S 13
 
10.0%
U 12
 
9.2%
O 12
 
9.2%
N 12
 
9.2%
E 11
 
8.5%
G 8
 
6.2%
D 7
 
5.4%
R 7
 
5.4%
P 6
 
4.6%
B 6
 
4.6%
Other values (13) 36
27.7%
Lowercase Letter
ValueCountFrequency (%)
e 24
13.4%
s 21
11.7%
o 17
9.5%
n 14
 
7.8%
t 13
 
7.3%
a 12
 
6.7%
r 12
 
6.7%
g 9
 
5.0%
l 9
 
5.0%
m 8
 
4.5%
Other values (12) 40
22.3%
Decimal Number
ValueCountFrequency (%)
1 225
23.6%
2 224
23.5%
0 155
16.3%
9 69
 
7.2%
4 59
 
6.2%
3 54
 
5.7%
6 50
 
5.2%
5 43
 
4.5%
7 41
 
4.3%
8 33
 
3.5%
Other Punctuation
ValueCountFrequency (%)
: 94
45.4%
, 67
32.4%
/ 14
 
6.8%
' 10
 
4.8%
. 8
 
3.9%
! 7
 
3.4%
? 4
 
1.9%
& 1
 
0.5%
# 1
 
0.5%
; 1
 
0.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
37.5%
Ⅰ 2
25.0%
Ⅳ 1
 
12.5%
Ⅴ 1
 
12.5%
Ⅷ 1
 
12.5%
Other Number
ValueCountFrequency (%)
④ 1
20.0%
⑤ 1
20.0%
⑥ 1
20.0%
② 1
20.0%
③ 1
20.0%
Space Separator
ValueCountFrequency (%)
1490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 252
100.0%
Close Punctuation
ValueCountFrequency (%)
) 250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7632
68.2%
Common 3214
28.7%
Latin 317
 
2.8%
Han 27
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 551
 
7.2%
울 437
 
5.7%
사 289
 
3.8%
의 216
 
2.8%
제 174
 
2.3%
시 159
 
2.1%
기 141
 
1.8%
백 130
 
1.7%
역 118
 
1.5%
문 118
 
1.5%
Other values (482) 5299
69.4%
Latin
ValueCountFrequency (%)
e 24
 
7.6%
s 21
 
6.6%
o 17
 
5.4%
n 14
 
4.4%
t 13
 
4.1%
S 13
 
4.1%
a 12
 
3.8%
U 12
 
3.8%
r 12
 
3.8%
O 12
 
3.8%
Other values (40) 167
52.7%
Common
ValueCountFrequency (%)
1490
46.4%
( 252
 
7.8%
) 250
 
7.8%
1 225
 
7.0%
2 224
 
7.0%
0 155
 
4.8%
: 94
 
2.9%
9 69
 
2.1%
, 67
 
2.1%
4 59
 
1.8%
Other values (23) 329
 
10.2%
Han
ValueCountFrequency (%)
集 2
 
7.4%
料 2
 
7.4%
資 2
 
7.4%
漢 2
 
7.4%
城 2
 
7.4%
府 2
 
7.4%
年 2
 
7.4%
上 1
 
3.7%
淸 1
 
3.7%
垢 1
 
3.7%
Other values (10) 10
37.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7631
68.2%
ASCII 3516
31.4%
CJK 25
 
0.2%
Number Forms 8
 
0.1%
Enclosed Alphanum 5
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Punctuation 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1490
42.4%
( 252
 
7.2%
) 250
 
7.1%
1 225
 
6.4%
2 224
 
6.4%
0 155
 
4.4%
: 94
 
2.7%
9 69
 
2.0%
, 67
 
1.9%
4 59
 
1.7%
Other values (61) 631
17.9%
Hangul
ValueCountFrequency (%)
서 551
 
7.2%
울 437
 
5.7%
사 289
 
3.8%
의 216
 
2.8%
제 174
 
2.3%
시 159
 
2.1%
기 141
 
1.8%
백 130
 
1.7%
역 118
 
1.5%
문 118
 
1.5%
Other values (481) 5298
69.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
37.5%
Ⅰ 2
25.0%
Ⅳ 1
 
12.5%
Ⅴ 1
 
12.5%
Ⅷ 1
 
12.5%
CJK
ValueCountFrequency (%)
集 2
 
8.0%
料 2
 
8.0%
資 2
 
8.0%
漢 2
 
8.0%
城 2
 
8.0%
府 2
 
8.0%
年 2
 
8.0%
上 1
 
4.0%
淸 1
 
4.0%
垢 1
 
4.0%
Other values (8) 8
32.0%
Enclosed Alphanum
ValueCountFrequency (%)
④ 1
20.0%
⑤ 1
20.0%
⑥ 1
20.0%
② 1
20.0%
③ 1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
六 1
50.0%
笠 1
50.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

발행기관
Text

Distinct97
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-04T06:24:24.589422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length7
Mean length7.8135593
Min length3

Characters and Unicode

Total characters4610
Distinct characters121
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

Unique60 ?
Unique (%)10.2%

Sample

1st row한성백제박물관
2nd row서울특별시
3rd row서울특별시
4th row한성백제박물관
5th row서울역사편찬원
ValueCountFrequency (%)
서울역사편찬원 142
20.4%
서울역사박물관 131
18.8%
서울특별시 80
11.5%
한성백제박물관 77
11.0%
시사편찬위원회 30
 
4.3%
시사편찬과 22
 
3.2%
서울시립미술관 18
 
2.6%
서울시사편찬위원회 14
 
2.0%
서울특별시사편찬위원 11
 
1.6%
청계천박물관 11
 
1.6%
Other values (87) 161
23.1%
2024-05-04T06:24:25.370618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 432
 
9.4%
울 429
 
9.3%
사 375
 
8.1%
관 282
 
6.1%
역 278
 
6.0%
시 241
 
5.2%
물 234
 
5.1%
박 231
 
5.0%
편 227
 
4.9%
찬 227
 
4.9%
Other values (111) 1654
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4491
97.4%
Space Separator 112
 
2.4%
Decimal Number 4
 
0.1%
Other Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 432
 
9.6%
울 429
 
9.6%
사 375
 
8.4%
관 282
 
6.3%
역 278
 
6.2%
시 241
 
5.4%
물 234
 
5.2%
박 231
 
5.1%
편 227
 
5.1%
찬 227
 
5.1%
Other values (104) 1535
34.2%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
3 1
25.0%
0 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4491
97.4%
Common 119
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 432
 
9.6%
울 429
 
9.6%
사 375
 
8.4%
관 282
 
6.3%
역 278
 
6.2%
시 241
 
5.4%
물 234
 
5.2%
박 231
 
5.1%
편 227
 
5.1%
찬 227
 
5.1%
Other values (104) 1535
34.2%
Common
ValueCountFrequency (%)
112
94.1%
2 2
 
1.7%
/ 1
 
0.8%
( 1
 
0.8%
, 1
 
0.8%
3 1
 
0.8%
0 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4491
97.4%
ASCII 119
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 432
 
9.6%
울 429
 
9.6%
사 375
 
8.4%
관 282
 
6.3%
역 278
 
6.2%
시 241
 
5.4%
물 234
 
5.2%
박 231
 
5.1%
편 227
 
5.1%
찬 227
 
5.1%
Other values (104) 1535
34.2%
ASCII
ValueCountFrequency (%)
112
94.1%
2 2
 
1.7%
/ 1
 
0.8%
( 1
 
0.8%
, 1
 
0.8%
3 1
 
0.8%
0 1
 
0.8%

판매여부
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
판매중
545 
절판
 
31
임시품절
 
11
품절
 
3

Length

Max length4
Median length3
Mean length2.9610169
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
판매중 545
92.4%
절판 31
 
5.3%
임시품절 11
 
1.9%
품절 3
 
0.5%

Length

2024-05-04T06:24:25.982916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:24:26.410993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
판매중 545
92.4%
절판 31
 
5.3%
임시품절 11
 
1.9%
품절 3
 
0.5%

판매가
Real number (ℝ)

Distinct39
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15144.407
Minimum2000
Maximum300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-04T06:24:26.867768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile5000
Q110000
median10000
Q318375
95-th percentile30000
Maximum300000
Range298000
Interquartile range (IQR)8375

Descriptive statistics

Standard deviation16064.04
Coefficient of variation (CV)1.0607243
Kurtosis187.25595
Mean15144.407
Median Absolute Deviation (MAD)4000
Skewness11.727665
Sum8935200
Variance2.5805337 × 108
MonotonicityNot monotonic
2024-05-04T06:24:27.551332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10000 214
36.3%
15000 54
 
9.2%
20000 51
 
8.6%
5000 40
 
6.8%
14000 27
 
4.6%
25000 26
 
4.4%
30000 22
 
3.7%
17000 19
 
3.2%
12000 14
 
2.4%
7000 13
 
2.2%
Other values (29) 110
18.6%
ValueCountFrequency (%)
2000 5
 
0.8%
2500 1
 
0.2%
3000 7
 
1.2%
5000 40
 
6.8%
6000 6
 
1.0%
6500 1
 
0.2%
7000 13
 
2.2%
8000 11
 
1.9%
9000 7
 
1.2%
10000 214
36.3%
ValueCountFrequency (%)
300000 1
 
0.2%
180000 1
 
0.2%
100000 1
 
0.2%
60000 1
 
0.2%
50000 1
 
0.2%
40000 8
 
1.4%
38000 1
 
0.2%
37000 1
 
0.2%
35000 7
 
1.2%
30000 22
3.7%

간략설명
Text

MISSING 

Distinct492
Distinct (%)96.9%
Missing82
Missing (%)13.9%
Memory size4.7 KiB
2024-05-04T06:24:28.424713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length410
Median length164.5
Mean length84.659449
Min length6

Characters and Unicode

Total characters43007
Distinct characters827
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique481 ?
Unique (%)94.7%

Sample

1st row서울에 남아 있는 비석, 바위 글씨의 유래와 역사적 의미를 정리한 대중 역사서
2nd row조선시대 한양에서 세거한 명문가를 조망하는 한양의 세거지 연구에 관한 기록입니다. 연구의 대상인 회동의 동래정씨,북촌과 용산에 거주한 전주이씨,동촌 관동의 연안이씨, 정동에 세거한 여주이씨, 장동의 안동김씨는 각기 회동정씨,관동이씨,정동이씨,장동김씨로 불리며 그 지역을 대표해온 가문입니다. 이번 연구에서는 한양 명문가의 세거지에 대한 기록을 밝히고 조망할 수 있는 귀중한 연구 기록입니다
3rd row서울의오래된 인장포 5곳과 인장 기술자들을 조사해 근현대 인장과 관련한 생활문화를 미시적으로 담아냈습니다.그뿐만 아니라 서울에서 유일한 인장 특화 거리인 창신동 인장의 거리와 영광인재사의 물건을 사진과 실측 조사를 통해 세세하게 기록했습니다. 특히 전승 단절이 우려되는 상황에서 인장 세공 기술과 도구를 현장 조사 방법으로 생생하게 기록해 냈다는 점에서 귀종한 자료가 되리라 사료됩니다.
4th row일제강점기 서울 백제역사유적지구에 대한 인식과 보존.관리의 변화를 보여주는 기록자료에 대한 조사 결과물을 본 자료집으로 발간 하였습니다.일제강점기 기록자료집에는 국립중앙박물관 소장 조선총독부박물관 공문서와 조선총독부박물관 유리건판 사진,일본 도요분코 소장 우메하라스에지 고고자료,저서와 논문,신문.잡지 기사 등의 자료를 수록 하였습니다.
5th row이 책은 시간의 흐름에 따른 서술방식이 아닌 주제별 서술방식을 택했습니다.동별로 차이는 있지만 1.행정구역 변동 2.인구변동 3.도시계획과 개발 4.주요시설 및 기관 5.문화유산 6.인물 7.주요행사와 축제 등의 주제를 기본으로 하여 해당 동의 역사를 서술하였습니다.
ValueCountFrequency (%)
서울의 99
 
1.1%
대한 91
 
1.0%
있습니다 67
 
0.7%
있는 65
 
0.7%
서울 64
 
0.7%
및 59
 
0.6%
이 59
 
0.6%
수 58
 
0.6%
내용을 49
 
0.5%
담고 48
 
0.5%
Other values (5062) 8566
92.9%
2024-05-04T06:24:30.029671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8951
 
20.8%
의 911
 
2.1%
서 796
 
1.9%
이 720
 
1.7%
다 676
 
1.6%
시 611
 
1.4%
한 611
 
1.4%
. 580
 
1.3%
을 544
 
1.3%
에 538
 
1.3%
Other values (817) 28069
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30106
70.0%
Space Separator 8951
 
20.8%
Decimal Number 1615
 
3.8%
Other Punctuation 1306
 
3.0%
Lowercase Letter 530
 
1.2%
Close Punctuation 131
 
0.3%
Open Punctuation 131
 
0.3%
Uppercase Letter 76
 
0.2%
Math Symbol 46
 
0.1%
Final Punctuation 37
 
0.1%
Other values (6) 78
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 911
 
3.0%
서 796
 
2.6%
이 720
 
2.4%
다 676
 
2.2%
시 611
 
2.0%
한 611
 
2.0%
을 544
 
1.8%
에 538
 
1.8%
사 511
 
1.7%
기 506
 
1.7%
Other values (726) 23682
78.7%
Lowercase Letter
ValueCountFrequency (%)
n 57
10.8%
e 57
10.8%
a 50
 
9.4%
o 49
 
9.2%
t 46
 
8.7%
s 34
 
6.4%
i 31
 
5.8%
r 30
 
5.7%
d 29
 
5.5%
h 21
 
4.0%
Other values (13) 126
23.8%
Uppercase Letter
ValueCountFrequency (%)
S 10
13.2%
M 9
11.8%
G 6
 
7.9%
D 6
 
7.9%
T 5
 
6.6%
P 5
 
6.6%
U 5
 
6.6%
C 4
 
5.3%
I 3
 
3.9%
B 3
 
3.9%
Other values (11) 20
26.3%
Other Punctuation
ValueCountFrequency (%)
. 580
44.4%
, 528
40.4%
' 101
 
7.7%
? 48
 
3.7%
: 16
 
1.2%
; 8
 
0.6%
# 8
 
0.6%
& 8
 
0.6%
* 4
 
0.3%
/ 4
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 374
23.2%
2 320
19.8%
0 307
19.0%
9 117
 
7.2%
8 97
 
6.0%
3 94
 
5.8%
6 82
 
5.1%
4 80
 
5.0%
7 74
 
4.6%
5 70
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 77
58.8%
》 27
 
20.6%
』 14
 
10.7%
」 9
 
6.9%
] 4
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 77
58.8%
《 27
 
20.6%
『 14
 
10.7%
「 9
 
6.9%
[ 4
 
3.1%
Math Symbol
ValueCountFrequency (%)
~ 41
89.1%
> 2
 
4.3%
| 1
 
2.2%
≪ 1
 
2.2%
≫ 1
 
2.2%
Final Punctuation
ValueCountFrequency (%)
’ 34
91.9%
” 3
 
8.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 34
91.9%
“ 3
 
8.1%
Other Number
ValueCountFrequency (%)
① 1
50.0%
⑥ 1
50.0%
Space Separator
ValueCountFrequency (%)
8951
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
☞ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29998
69.8%
Common 12295
28.6%
Latin 606
 
1.4%
Han 108
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 911
 
3.0%
서 796
 
2.7%
이 720
 
2.4%
다 676
 
2.3%
시 611
 
2.0%
한 611
 
2.0%
을 544
 
1.8%
에 538
 
1.8%
사 511
 
1.7%
기 506
 
1.7%
Other values (671) 23574
78.6%
Han
ValueCountFrequency (%)
史 7
 
6.5%
京 6
 
5.6%
宗 4
 
3.7%
成 4
 
3.7%
朝 4
 
3.7%
城 4
 
3.7%
年 4
 
3.7%
溪 4
 
3.7%
淸 4
 
3.7%
笠 3
 
2.8%
Other values (45) 64
59.3%
Common
ValueCountFrequency (%)
8951
72.8%
. 580
 
4.7%
, 528
 
4.3%
1 374
 
3.0%
2 320
 
2.6%
0 307
 
2.5%
9 117
 
1.0%
' 101
 
0.8%
8 97
 
0.8%
3 94
 
0.8%
Other values (37) 826
 
6.7%
Latin
ValueCountFrequency (%)
n 57
 
9.4%
e 57
 
9.4%
a 50
 
8.3%
o 49
 
8.1%
t 46
 
7.6%
s 34
 
5.6%
i 31
 
5.1%
r 30
 
5.0%
d 29
 
4.8%
h 21
 
3.5%
Other values (34) 202
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29990
69.7%
ASCII 12721
29.6%
CJK 103
 
0.2%
None 100
 
0.2%
Punctuation 75
 
0.2%
Compat Jamo 8
 
< 0.1%
CJK Compat Ideographs 5
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Math Operators 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8951
70.4%
. 580
 
4.6%
, 528
 
4.2%
1 374
 
2.9%
2 320
 
2.5%
0 307
 
2.4%
9 117
 
0.9%
' 101
 
0.8%
8 97
 
0.8%
3 94
 
0.7%
Other values (65) 1252
 
9.8%
Hangul
ValueCountFrequency (%)
의 911
 
3.0%
서 796
 
2.7%
이 720
 
2.4%
다 676
 
2.3%
시 611
 
2.0%
한 611
 
2.0%
을 544
 
1.8%
에 538
 
1.8%
사 511
 
1.7%
기 506
 
1.7%
Other values (667) 23566
78.6%
Punctuation
ValueCountFrequency (%)
’ 34
45.3%
‘ 34
45.3%
” 3
 
4.0%
“ 3
 
4.0%
… 1
 
1.3%
None
ValueCountFrequency (%)
》 27
27.0%
《 27
27.0%
『 14
14.0%
』 14
14.0%
」 9
 
9.0%
「 9
 
9.0%
CJK
ValueCountFrequency (%)
史 7
 
6.8%
京 6
 
5.8%
宗 4
 
3.9%
成 4
 
3.9%
朝 4
 
3.9%
城 4
 
3.9%
年 4
 
3.9%
溪 4
 
3.9%
淸 4
 
3.9%
府 3
 
2.9%
Other values (43) 59
57.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
50.0%
ㅇ 2
25.0%
ㅐ 1
 
12.5%
ㅗ 1
 
12.5%
CJK Compat Ideographs
ValueCountFrequency (%)
笠 3
60.0%
李 2
40.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
50.0%
⑥ 1
50.0%
Misc Symbols
ValueCountFrequency (%)
☞ 1
100.0%
Math Operators
ValueCountFrequency (%)
≪ 1
50.0%
≫ 1
50.0%

출판년도
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.3441
Minimum1990
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-04T06:24:30.554636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1990
5-th percentile2009.45
Q12015
median2018
Q32021
95-th percentile2023
Maximum2024
Range34
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.5558511
Coefficient of variation (CV)0.0022583412
Kurtosis4.0510515
Mean2017.3441
Median Absolute Deviation (MAD)3
Skewness-1.461142
Sum1190233
Variance20.75578
MonotonicityNot monotonic
2024-05-04T06:24:31.092500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2021 60
10.2%
2019 56
9.5%
2020 55
9.3%
2023 52
8.8%
2016 49
8.3%
2018 48
8.1%
2022 48
8.1%
2014 46
7.8%
2017 43
7.3%
2015 40
6.8%
Other values (15) 93
15.8%
ValueCountFrequency (%)
1990 1
 
0.2%
1994 1
 
0.2%
2001 5
0.8%
2003 2
 
0.3%
2004 4
0.7%
2005 1
 
0.2%
2006 5
0.8%
2007 5
0.8%
2008 1
 
0.2%
2009 5
0.8%
ValueCountFrequency (%)
2024 3
 
0.5%
2023 52
8.8%
2022 48
8.1%
2021 60
10.2%
2020 55
9.3%
2019 56
9.5%
2018 48
8.1%
2017 43
7.3%
2016 49
8.3%
2015 40
6.8%

페이지수
Real number (ℝ)

ZEROS 

Distinct237
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.84746
Minimum0
Maximum1904
Zeros242
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-04T06:24:31.555067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median160
Q3301
95-th percentile546
Maximum1904
Range1904
Interquartile range (IQR)301

Descriptive statistics

Standard deviation237.79409
Coefficient of variation (CV)1.2330683
Kurtosis10.712145
Mean192.84746
Median Absolute Deviation (MAD)160
Skewness2.4581974
Sum113780
Variance56546.028
MonotonicityNot monotonic
2024-05-04T06:24:32.091074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 242
41.0%
160 5
 
0.8%
180 5
 
0.8%
546 5
 
0.8%
239 4
 
0.7%
200 4
 
0.7%
171 4
 
0.7%
253 4
 
0.7%
153 4
 
0.7%
255 4
 
0.7%
Other values (227) 309
52.4%
ValueCountFrequency (%)
0 242
41.0%
1 1
 
0.2%
26 1
 
0.2%
41 1
 
0.2%
51 1
 
0.2%
86 1
 
0.2%
91 1
 
0.2%
95 1
 
0.2%
100 2
 
0.3%
102 1
 
0.2%
ValueCountFrequency (%)
1904 1
0.2%
1554 1
0.2%
1509 1
0.2%
1417 1
0.2%
1403 1
0.2%
1400 1
0.2%
1300 1
0.2%
979 1
0.2%
943 1
0.2%
795 1
0.2%

도서이미지경로
Text

UNIQUE 

Distinct590
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-05-04T06:24:32.746677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length52
Mean length51.540678
Min length50

Characters and Unicode

Total characters30409
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique590 ?
Unique (%)100.0%

Sample

1st rowhttp://store.seoul.go.kr/images/goods/15496_imgl.jpg
2nd rowhttp://store.seoul.go.kr/images/goods/15477_imgl.jpg
3rd rowhttp://store.seoul.go.kr/images/goods/15476_imgl.jpg
4th rowhttp://store.seoul.go.kr/images/goods/15457_imgl.jpg
5th rowhttp://store.seoul.go.kr/images/goods/15456_imgl.jpg
ValueCountFrequency (%)
http://store.seoul.go.kr/images/goods/15496_imgl.jpg 1
 
0.2%
http://store.seoul.go.kr/images/goods/8155_imgl.jpg 1
 
0.2%
http://store.seoul.go.kr/images/goods/8574_imgl.jpg 1
 
0.2%
http://store.seoul.go.kr/images/goods/8417_imgl.jpg 1
 
0.2%
http://store.seoul.go.kr/images/goods/8554_imgl.jpg 1
 
0.2%
http://store.seoul.go.kr/images/goods/8474_imgl.jpg 1
 
0.2%
http://store.seoul.go.kr/images/goods/8454_imgl.jpg 1
 
0.2%
http://store.seoul.go.kr/images/goods/8438_imgl.jpg 1
 
0.2%
http://store.seoul.go.kr/images/goods/8436_imgl.jpg 1
 
0.2%
http://store.seoul.go.kr/images/goods/8434_imgl.jpg 1
 
0.2%
Other values (580) 580
98.3%
2024-05-04T06:24:34.079415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2950
 
9.7%
o 2950
 
9.7%
g 2950
 
9.7%
s 2360
 
7.8%
. 2360
 
7.8%
e 1770
 
5.8%
t 1770
 
5.8%
m 1180
 
3.9%
p 1180
 
3.9%
r 1180
 
3.9%
Other values (20) 9759
32.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21240
69.8%
Other Punctuation 5900
 
19.4%
Decimal Number 2679
 
8.8%
Connector Punctuation 590
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2950
13.9%
g 2950
13.9%
s 2360
11.1%
e 1770
8.3%
t 1770
8.3%
m 1180
 
5.6%
p 1180
 
5.6%
r 1180
 
5.6%
l 1180
 
5.6%
i 1180
 
5.6%
Other values (6) 3540
16.7%
Decimal Number
ValueCountFrequency (%)
1 592
22.1%
6 312
11.6%
5 293
10.9%
3 282
10.5%
7 264
9.9%
4 230
 
8.6%
9 229
 
8.5%
2 205
 
7.7%
8 159
 
5.9%
0 113
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 2950
50.0%
. 2360
40.0%
: 590
 
10.0%
Connector Punctuation
ValueCountFrequency (%)
_ 590
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21240
69.8%
Common 9169
30.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2950
13.9%
g 2950
13.9%
s 2360
11.1%
e 1770
8.3%
t 1770
8.3%
m 1180
 
5.6%
p 1180
 
5.6%
r 1180
 
5.6%
l 1180
 
5.6%
i 1180
 
5.6%
Other values (6) 3540
16.7%
Common
ValueCountFrequency (%)
/ 2950
32.2%
. 2360
25.7%
1 592
 
6.5%
_ 590
 
6.4%
: 590
 
6.4%
6 312
 
3.4%
5 293
 
3.2%
3 282
 
3.1%
7 264
 
2.9%
4 230
 
2.5%
Other values (4) 706
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2950
 
9.7%
o 2950
 
9.7%
g 2950
 
9.7%
s 2360
 
7.8%
. 2360
 
7.8%
e 1770
 
5.8%
t 1770
 
5.8%
m 1180
 
3.9%
p 1180
 
3.9%
r 1180
 
3.9%
Other values (20) 9759
32.1%

판매량
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.249153
Minimum0
Maximum1542
Zeros58
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-04T06:24:34.497738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12
Q328
95-th percentile109
Maximum1542
Range1542
Interquartile range (IQR)24

Descriptive statistics

Standard deviation85.129985
Coefficient of variation (CV)2.7242334
Kurtosis192.46169
Mean31.249153
Median Absolute Deviation (MAD)10
Skewness12.193387
Sum18437
Variance7247.1144
MonotonicityNot monotonic
2024-05-04T06:24:35.100114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
 
9.8%
1 38
 
6.4%
2 25
 
4.2%
3 23
 
3.9%
7 21
 
3.6%
9 21
 
3.6%
6 19
 
3.2%
11 17
 
2.9%
4 17
 
2.9%
14 16
 
2.7%
Other values (99) 335
56.8%
ValueCountFrequency (%)
0 58
9.8%
1 38
6.4%
2 25
4.2%
3 23
 
3.9%
4 17
 
2.9%
5 15
 
2.5%
6 19
 
3.2%
7 21
 
3.6%
8 15
 
2.5%
9 21
 
3.6%
ValueCountFrequency (%)
1542 1
0.2%
952 1
0.2%
427 1
0.2%
415 1
0.2%
267 1
0.2%
214 1
0.2%
212 1
0.2%
207 1
0.2%
201 1
0.2%
190 1
0.2%

Interactions

2024-05-04T06:24:16.256453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:09.779966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:11.242349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:12.570793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:14.135131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:16.619780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:10.078010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:11.457557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:12.871794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:14.621771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:16.879981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:10.363622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:11.703309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:13.163026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:15.083394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:17.523601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:10.658805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:12.008310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:13.464620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:15.494034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:17.818825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:10.953009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:12.284455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:13.765957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:24:15.845287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T06:24:35.455641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서ID카테고리ID카테고리명발행기관판매여부판매가출판년도페이지수판매량
도서ID1.0000.4520.4520.8780.2100.5240.8540.5120.044
카테고리ID0.4521.0001.0000.8450.0340.0000.2460.4960.116
카테고리명0.4521.0001.0000.8450.0340.0000.2460.4960.116
발행기관0.8780.8450.8451.0000.6010.9130.8710.7490.562
판매여부0.2100.0340.0340.6011.0000.0850.6530.0000.016
판매가0.5240.0000.0000.9130.0851.0000.3580.0000.000
출판년도0.8540.2460.2460.8710.6530.3581.0000.4340.000
페이지수0.5120.4960.4960.7490.0000.0000.4341.0000.000
판매량0.0440.1160.1160.5620.0160.0000.0000.0001.000
2024-05-04T06:24:35.825953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카테고리명카테고리ID판매여부
카테고리명1.0001.0000.027
카테고리ID1.0001.0000.027
판매여부0.0270.0271.000
2024-05-04T06:24:36.113588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서ID판매가출판년도페이지수판매량카테고리ID카테고리명판매여부
도서ID1.000-0.0000.801-0.196-0.1200.2040.2040.160
판매가-0.0001.0000.0100.0470.0090.0000.0000.069
출판년도0.8010.0101.000-0.0980.1280.1480.1480.336
페이지수-0.1960.047-0.0981.0000.0140.2270.2270.000
판매량-0.1200.0090.1280.0141.0000.0430.0430.012
카테고리ID0.2040.0000.1480.2270.0431.0001.0000.027
카테고리명0.2040.0000.1480.2270.0431.0001.0000.027
판매여부0.1600.0690.3360.0000.0120.0270.0271.000

Missing values

2024-05-04T06:24:18.449839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T06:24:19.041471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

도서ID카테고리ID카테고리명도서명발행기관판매여부판매가간략설명출판년도페이지수도서이미지경로판매량
015496103000000역사/사료바닷길에서 찾은 보물 : 2024 선사고대기획전한성백제박물관판매중20000<NA>2024175http://store.seoul.go.kr/images/goods/15496_imgl.jpg3
115477103000000역사/사료서울시 무형문화재(소목장) 창호서울특별시판매중10000<NA>2023158http://store.seoul.go.kr/images/goods/15477_imgl.jpg0
215476103000000역사/사료서울시 무형문화재 제13호(매듭장)서울특별시판매중10000<NA>2023243http://store.seoul.go.kr/images/goods/15476_imgl.jpg17
315457103000000역사/사료백제의 한강유역 회복과 고구려 신라(백제학연구총서 쟁점백제사23)한성백제박물관판매중10000<NA>2023336http://store.seoul.go.kr/images/goods/15457_imgl.jpg4
415456103000000역사/사료돌에 새긴 서울사(서울역사강좌17)서울역사편찬원판매중10000서울에 남아 있는 비석, 바위 글씨의 유래와 역사적 의미를 정리한 대중 역사서2024274http://store.seoul.go.kr/images/goods/15456_imgl.jpg16
515439102000000문화/관광그때 그 서울서울역사박물관판매중17000<NA>2023158http://store.seoul.go.kr/images/goods/15439_imgl.jpg26
615438105000000통계2023서울통계연보서울특별시판매중15000<NA>2023711http://store.seoul.go.kr/images/goods/15438_imgl.jpg0
715437101000000일반행정2024 서울특별시 도시계획위원회 매뉴얼 2.심의기준서울특별시판매중6000<NA>2024553http://store.seoul.go.kr/images/goods/15437_imgl.jpg41
815436103000000역사/사료한성백제박물관 XIV(14) 이상윤기증유물9 다채도자한성백제박물관판매중10000<NA>2023192http://store.seoul.go.kr/images/goods/15436_imgl.jpg0
915417103000000역사/사료SEOUL MUSEUM OF HISTORY서울역사박물관판매중37000<NA>2023330http://store.seoul.go.kr/images/goods/15417_imgl.jpg0
도서ID카테고리ID카테고리명도서명발행기관판매여부판매가간략설명출판년도페이지수도서이미지경로판매량
5801841103000000역사/사료서울인구사(서울역사총서5)시사편찬위원회판매중25000서울의 인구 변동 및 구성에 대한 내용을 정리하여 발간한다.20051417http://store.seoul.go.kr/images/goods/1841_imgl.jpg16
5811581101000000일반행정서울시전문시방서프로그램기술심사담당관절판300000서울특별시 전문시방서의 방대한 내용을 공사시방서 작성 시 손쉽게 편집,작성할 수 있도옥 최신운영체제인 Windows XP환경 및 한글2002에서도 운용될 수 있도록 성능개선한 활용프로그램20040http://store.seoul.go.kr/images/goods/1581_imgl.jpg10
5821442103000000역사/사료서울의 성곽(내고향서울4)서울시사편찬위원회판매중5000서울 지역에 있었던 성곽의 역사적 변화와 일화 등을 수록하였다.2004479http://store.seoul.go.kr/images/goods/1442_imgl.jpg19
5831142103000000역사/사료한성부자료집(漢城府資料集) 제16권서울특별시사편찬위원회판매중10000본자료집은 세종대왕기념사업회에서 번역한 《朝鮮王朝實錄》에서 成宗21年(1490)~成宗25年(1494)까지의 서울관계 사료를 발췌하고, 국사편찬위원회에서 영인한 원문을 발췌, 수록하였다.2004685http://store.seoul.go.kr/images/goods/1142_imgl.jpg1
5841141103000000역사/사료한성부자료집(漢城府資料集) 제15권서울특별시사편찬위원회판매중10000본자료집은 세종대왕기념사업회에서 번역한 《朝鮮王朝實錄》에서 成宗15年(1484)~成宗20年(1489)까지의 서울관계 사료를 발췌하고, 국사편찬위원회에서 영인한 원문을 발췌, 수록하였다.2004719http://store.seoul.go.kr/images/goods/1141_imgl.jpg1
585729102000000문화/관광서울역사박물관 600년 서울을 담다: 소도록(국문)서울역사박물관판매중12000서울역사박물관의 상설전시 내용을 소개하는 소도록 국문판이다.2014153http://store.seoul.go.kr/images/goods/729_imgl.jpg3
586294103000000역사/사료서울의 문화재 5권세트시사편찬판매중1000002001년 12월 31일 현재 서울에 분포되어 있는 국가 지정문화재 676점과 서울특별시 지정문화재 211점 등 총 887점에 대한 내용이 정리되어 있다.20030http://store.seoul.go.kr/images/goods/294_imgl.jpg106
587243103000000역사/사료준천사실ㆍ주교지남(서울사료총서 8)시사편찬위원회절판5000준천사실ㆍ주교지남은 제8권으로 발간되었다.2001269http://store.seoul.go.kr/images/goods/243_imgl.jpg126
588152103000000역사/사료서울육백년사(민속편)시사편찬위원회판매중10000서울 역사를 정치ㆍ경제ㆍ사회ㆍ문화 등 전반에 걸쳐 종합적이고 광범위하게 망라하여 체계적으로 서술한 책이다.19901509http://store.seoul.go.kr/images/goods/152_imgl.jpg109
589149101000000일반행정서울의 경관변화서울학연구소품절6000조선왕조의 개창으로 서울이 수도가 된 이래 현대에 이르기까지 서울의 경관변화 과정을 그 원인과 배경에 주목하여 정리한 전문연구서1994249http://store.seoul.go.kr/images/goods/149_imgl.jpg130