Overview

Dataset statistics

Number of variables12
Number of observations592
Missing cells83
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory59.1 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 (77.3%)Imbalance
간략설명 has 83 (14.0%) missing valuesMissing
도서ID has unique valuesUnique
도서명 has unique valuesUnique
도서이미지경로 has unique valuesUnique
페이지수 has 242 (40.9%) zerosZeros
판매량 has 59 (10.0%) zerosZeros

Reproduction

Analysis started2024-05-18 08:09:25.651750
Analysis finished2024-05-18 08:09:39.248315
Duration13.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서ID
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct592
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10282.671
Minimum149
Maximum15536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-18T17:09:39.608420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum149
5-th percentile4095.55
Q17267
median10865
Q313441
95-th percentile15125.55
Maximum15536
Range15387
Interquartile range (IQR)6174

Descriptive statistics

Standard deviation3686.9131
Coefficient of variation (CV)0.35855598
Kurtosis-0.74278094
Mean10282.671
Median Absolute Deviation (MAD)2932
Skewness-0.42633779
Sum6087341
Variance13593328
MonotonicityStrictly decreasing
2024-05-18T17:09:40.334540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15536 1
 
0.2%
8574 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 (582) 582
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 (%)
15536 1
0.2%
15516 1
0.2%
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%

카테고리ID
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
103000000
339 
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 339
57.3%
102000000 115
 
19.4%
101000000 66
 
11.1%
104000000 63
 
10.6%
105000000 9
 
1.5%

Length

2024-05-18T17:09:40.855950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T17:09:41.196731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
103000000 339
57.3%
102000000 115
 
19.4%
101000000 66
 
11.1%
104000000 63
 
10.6%
105000000 9
 
1.5%

카테고리명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
역사/사료
339 
문화/관광
115 
일반행정
66 
연구/논문
63 
통계
 
9

Length

Max length5
Median length5
Mean length4.8429054
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 339
57.3%
문화/관광 115
 
19.4%
일반행정 66
 
11.1%
연구/논문 63
 
10.6%
통계 9
 
1.5%

Length

2024-05-18T17:09:41.591287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T17:09:41.974694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
역사/사료 339
57.3%
문화/관광 115
 
19.4%
일반행정 66
 
11.1%
연구/논문 63
 
10.6%
통계 9
 
1.5%

도서명
Text

UNIQUE 

Distinct592
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-05-18T17:09:42.461910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length33
Mean length18.998311
Min length4

Characters and Unicode

Total characters11247
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

Unique592 ?
Unique (%)100.0%

Sample

1st row베트남 옥에오문화 바닷길로 연결된 부남과 백제
2nd row조선시대 서울의 유교 의례와 음악 : 서울역사중점연구 16
3rd row바닷길에서 찾은 보물 : 2024 선사고대기획전
4th row서울시 무형문화재(소목장) 창호
5th row서울시 무형문화재 제13호(매듭장)
ValueCountFrequency (%)
서울의 76
 
3.7%
서울 45
 
2.2%
42
 
2.1%
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 (1389) 1759
86.0%
2024-05-18T17:09:43.206026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1502
 
13.4%
서 553
 
4.9%
울 439
 
3.9%
사 290
 
2.6%
( 252
 
2.2%
) 250
 
2.2%
1 226
 
2.0%
2 224
 
2.0%
의 218
 
1.9%
제 175
 
1.6%
Other values (585) 7118
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7701
68.5%
Space Separator 1502
 
13.4%
Decimal Number 955
 
8.5%
Open Punctuation 252
 
2.2%
Close Punctuation 250
 
2.2%
Other Punctuation 208
 
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 553
 
7.2%
울 439
 
5.7%
사 290
 
3.8%
의 218
 
2.8%
제 175
 
2.3%
시 160
 
2.1%
기 141
 
1.8%
백 131
 
1.7%
문 119
 
1.5%
역 119
 
1.5%
Other values (502) 5356
69.5%
Uppercase Letter
ValueCountFrequency (%)
S 13
 
10.0%
N 12
 
9.2%
O 12
 
9.2%
U 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 (%)
1 226
23.7%
2 224
23.5%
0 155
16.2%
9 69
 
7.2%
4 59
 
6.2%
3 54
 
5.7%
6 51
 
5.3%
5 43
 
4.5%
7 41
 
4.3%
8 33
 
3.5%
Other Punctuation
ValueCountFrequency (%)
: 95
45.7%
, 67
32.2%
/ 14
 
6.7%
' 10
 
4.8%
. 8
 
3.8%
! 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%
Ⅴ 1
 
12.5%
Ⅳ 1
 
12.5%
Ⅷ 1
 
12.5%
Other Number
ValueCountFrequency (%)
③ 1
20.0%
② 1
20.0%
⑥ 1
20.0%
⑤ 1
20.0%
④ 1
20.0%
Space Separator
ValueCountFrequency (%)
1502
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%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7674
68.2%
Common 3229
28.7%
Latin 317
 
2.8%
Han 27
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 553
 
7.2%
울 439
 
5.7%
사 290
 
3.8%
의 218
 
2.8%
제 175
 
2.3%
시 160
 
2.1%
기 141
 
1.8%
백 131
 
1.7%
문 119
 
1.6%
역 119
 
1.6%
Other values (482) 5329
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%
r 12
 
3.8%
N 12
 
3.8%
O 12
 
3.8%
Other values (40) 167
52.7%
Common
ValueCountFrequency (%)
1502
46.5%
( 252
 
7.8%
) 250
 
7.7%
1 226
 
7.0%
2 224
 
6.9%
0 155
 
4.8%
: 95
 
2.9%
9 69
 
2.1%
, 67
 
2.1%
4 59
 
1.8%
Other values (23) 330
 
10.2%
Han
ValueCountFrequency (%)
料 2
 
7.4%
城 2
 
7.4%
資 2
 
7.4%
府 2
 
7.4%
年 2
 
7.4%
漢 2
 
7.4%
集 2
 
7.4%
上 1
 
3.7%
無 1
 
3.7%
垢 1
 
3.7%
Other values (10) 10
37.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7673
68.2%
ASCII 3531
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 (%)
1502
42.5%
( 252
 
7.1%
) 250
 
7.1%
1 226
 
6.4%
2 224
 
6.3%
0 155
 
4.4%
: 95
 
2.7%
9 69
 
2.0%
, 67
 
1.9%
4 59
 
1.7%
Other values (61) 632
17.9%
Hangul
ValueCountFrequency (%)
서 553
 
7.2%
울 439
 
5.7%
사 290
 
3.8%
의 218
 
2.8%
제 175
 
2.3%
시 160
 
2.1%
기 141
 
1.8%
백 131
 
1.7%
문 119
 
1.6%
역 119
 
1.6%
Other values (481) 5328
69.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
37.5%
Ⅰ 2
25.0%
Ⅴ 1
 
12.5%
Ⅳ 1
 
12.5%
Ⅷ 1
 
12.5%
CJK
ValueCountFrequency (%)
料 2
 
8.0%
城 2
 
8.0%
資 2
 
8.0%
府 2
 
8.0%
年 2
 
8.0%
漢 2
 
8.0%
集 2
 
8.0%
上 1
 
4.0%
無 1
 
4.0%
垢 1
 
4.0%
Other values (8) 8
32.0%
CJK Compat Ideographs
ValueCountFrequency (%)
六 1
50.0%
笠 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
③ 1
20.0%
② 1
20.0%
⑥ 1
20.0%
⑤ 1
20.0%
④ 1
20.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

발행기관
Text

Distinct97
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-05-18T17:09:43.623341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length7
Mean length7.8108108
Min length3

Characters and Unicode

Total characters4624
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 (%)10.1%

Sample

1st row한성백제박물관
2nd row서울역사편찬원
3rd row한성백제박물관
4th row서울특별시
5th row서울특별시
ValueCountFrequency (%)
서울역사편찬원 143
20.5%
서울역사박물관 131
18.7%
서울특별시 80
11.4%
한성백제박물관 78
11.2%
시사편찬위원회 30
 
4.3%
시사편찬과 22
 
3.1%
서울시립미술관 18
 
2.6%
서울시사편찬위원회 14
 
2.0%
서울특별시사편찬위원 11
 
1.6%
청계천박물관 11
 
1.6%
Other values (87) 161
23.0%
2024-05-18T17:09:44.501923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 433
 
9.4%
울 430
 
9.3%
사 376
 
8.1%
관 283
 
6.1%
역 279
 
6.0%
시 241
 
5.2%
물 235
 
5.1%
박 232
 
5.0%
편 228
 
4.9%
찬 228
 
4.9%
Other values (111) 1659
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4505
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 433
 
9.6%
울 430
 
9.5%
사 376
 
8.3%
관 283
 
6.3%
역 279
 
6.2%
시 241
 
5.3%
물 235
 
5.2%
박 232
 
5.1%
편 228
 
5.1%
찬 228
 
5.1%
Other values (104) 1540
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 4505
97.4%
Common 119
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 433
 
9.6%
울 430
 
9.5%
사 376
 
8.3%
관 283
 
6.3%
역 279
 
6.2%
시 241
 
5.3%
물 235
 
5.2%
박 232
 
5.1%
편 228
 
5.1%
찬 228
 
5.1%
Other values (104) 1540
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 4505
97.4%
ASCII 119
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 433
 
9.6%
울 430
 
9.5%
사 376
 
8.3%
관 283
 
6.3%
역 279
 
6.2%
시 241
 
5.3%
물 235
 
5.2%
박 232
 
5.1%
편 228
 
5.1%
찬 228
 
5.1%
Other values (104) 1540
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 size4.8 KiB
판매중
549 
절판
 
31
임시품절
 
9
품절
 
3

Length

Max length4
Median length3
Mean length2.9577703
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
판매중 549
92.7%
절판 31
 
5.2%
임시품절 9
 
1.5%
품절 3
 
0.5%

Length

2024-05-18T17:09:44.776654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T17:09:45.072973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
판매중 549
92.7%
절판 31
 
5.2%
임시품절 9
 
1.5%
품절 3
 
0.5%

판매가
Real number (ℝ)

Distinct39
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15143.919
Minimum2000
Maximum300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-18T17:09:45.391697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile5000
Q110000
median10000
Q318625
95-th percentile30000
Maximum300000
Range298000
Interquartile range (IQR)8625

Descriptive statistics

Standard deviation16039.475
Coefficient of variation (CV)1.0591364
Kurtosis187.77133
Mean15143.919
Median Absolute Deviation (MAD)4000
Skewness11.741708
Sum8965200
Variance2.5726477 × 108
MonotonicityNot monotonic
2024-05-18T17:09:45.796933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10000 215
36.3%
15000 54
 
9.1%
20000 52
 
8.8%
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 215
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 

Distinct493
Distinct (%)96.9%
Missing83
Missing (%)14.0%
Memory size4.8 KiB
2024-05-18T17:09:46.353028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length410
Median length166
Mean length84.585462
Min length6

Characters and Unicode

Total characters43054
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

Unique482 ?
Unique (%)94.7%

Sample

1st row조선시대 서울 곳곳에서 행해진 유교 의례와 함께 연주된 음악의 역사성을 규명한 연구서
2nd row서울에 남아 있는 비석, 바위 글씨의 유래와 역사적 의미를 정리한 대중 역사서
3rd 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
4th 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.
5th 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.
ValueCountFrequency (%)
서울의 99
 
1.1%
대한 91
 
1.0%
있습니다 67
 
0.7%
있는 65
 
0.7%
서울 65
 
0.7%
이 59
 
0.6%
및 59
 
0.6%
수 58
 
0.6%
내용을 49
 
0.5%
담고 48
 
0.5%
Other values (5069) 8577
92.9%
2024-05-18T17:09:47.474935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8962
 
20.8%
의 913
 
2.1%
서 799
 
1.9%
이 720
 
1.7%
다 676
 
1.6%
시 612
 
1.4%
한 612
 
1.4%
. 580
 
1.3%
을 545
 
1.3%
에 539
 
1.3%
Other values (817) 28096
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30142
70.0%
Space Separator 8962
 
20.8%
Decimal Number 1615
 
3.8%
Other Punctuation 1306
 
3.0%
Lowercase Letter 530
 
1.2%
Open Punctuation 131
 
0.3%
Close Punctuation 131
 
0.3%
Uppercase Letter 76
 
0.2%
Math Symbol 46
 
0.1%
Initial Punctuation 37
 
0.1%
Other values (6) 78
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 913
 
3.0%
서 799
 
2.7%
이 720
 
2.4%
다 676
 
2.2%
시 612
 
2.0%
한 612
 
2.0%
을 545
 
1.8%
에 539
 
1.8%
사 512
 
1.7%
기 506
 
1.7%
Other values (726) 23708
78.7%
Lowercase Letter
ValueCountFrequency (%)
e 57
10.8%
n 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%
D 6
 
7.9%
G 6
 
7.9%
T 5
 
6.6%
P 5
 
6.6%
U 5
 
6.6%
C 4
 
5.3%
B 3
 
3.9%
H 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%
Open Punctuation
ValueCountFrequency (%)
( 77
58.8%
《 27
 
20.6%
『 14
 
10.7%
「 9
 
6.9%
[ 4
 
3.1%
Close 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%
Initial Punctuation
ValueCountFrequency (%)
‘ 34
91.9%
“ 3
 
8.1%
Final Punctuation
ValueCountFrequency (%)
’ 34
91.9%
” 3
 
8.1%
Other Number
ValueCountFrequency (%)
⑥ 1
50.0%
① 1
50.0%
Space Separator
ValueCountFrequency (%)
8962
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 30034
69.8%
Common 12306
28.6%
Latin 606
 
1.4%
Han 108
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 913
 
3.0%
서 799
 
2.7%
이 720
 
2.4%
다 676
 
2.3%
시 612
 
2.0%
한 612
 
2.0%
을 545
 
1.8%
에 539
 
1.8%
사 512
 
1.7%
기 506
 
1.7%
Other values (671) 23600
78.6%
Han
ValueCountFrequency (%)
史 7
 
6.5%
京 6
 
5.6%
城 4
 
3.7%
宗 4
 
3.7%
成 4
 
3.7%
朝 4
 
3.7%
年 4
 
3.7%
淸 4
 
3.7%
溪 4
 
3.7%
府 3
 
2.8%
Other values (45) 64
59.3%
Common
ValueCountFrequency (%)
8962
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 (%)
e 57
 
9.4%
n 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 30026
69.7%
ASCII 12732
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 (%)
8962
70.4%
. 580
 
4.6%
, 528
 
4.1%
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 913
 
3.0%
서 799
 
2.7%
이 720
 
2.4%
다 676
 
2.3%
시 612
 
2.0%
한 612
 
2.0%
을 545
 
1.8%
에 539
 
1.8%
사 512
 
1.7%
기 506
 
1.7%
Other values (667) 23592
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%
城 4
 
3.9%
宗 4
 
3.9%
成 4
 
3.9%
朝 4
 
3.9%
年 4
 
3.9%
淸 4
 
3.9%
溪 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 (%)
⑥ 1
50.0%
① 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%
Mean2017.3581
Minimum1990
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-18T17:09:47.870950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1990
5-th percentile2009.55
Q12015
median2018
Q32021
95-th percentile2023
Maximum2024
Range34
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.5568567
Coefficient of variation (CV)0.0022588239
Kurtosis4.0465915
Mean2017.3581
Median Absolute Deviation (MAD)3
Skewness-1.4591195
Sum1194276
Variance20.764943
MonotonicityNot monotonic
2024-05-18T17:09:48.282233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2021 60
10.1%
2019 57
9.6%
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) 94
15.9%
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 4
 
0.7%
2023 52
8.8%
2022 48
8.1%
2021 60
10.1%
2020 55
9.3%
2019 57
9.6%
2018 48
8.1%
2017 43
7.3%
2016 49
8.3%
2015 40
6.8%

페이지수
Real number (ℝ)

ZEROS 

Distinct238
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.125
Minimum0
Maximum1904
Zeros242
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-18T17:09:48.684913image/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 deviation237.45312
Coefficient of variation (CV)1.2295307
Kurtosis10.73258
Mean193.125
Median Absolute Deviation (MAD)160
Skewness2.4571624
Sum114330
Variance56383.984
MonotonicityNot monotonic
2024-05-18T17:09:49.150903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 242
40.9%
180 5
 
0.8%
160 5
 
0.8%
546 5
 
0.8%
135 4
 
0.7%
239 4
 
0.7%
153 4
 
0.7%
253 4
 
0.7%
200 4
 
0.7%
255 4
 
0.7%
Other values (228) 311
52.5%
ValueCountFrequency (%)
0 242
40.9%
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 

Distinct592
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-05-18T17:09:49.771573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length52
Mean length51.54223
Min length50

Characters and Unicode

Total characters30513
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

Unique592 ?
Unique (%)100.0%

Sample

1st rowhttp://store.seoul.go.kr/images/goods/15536_imgl.jpg
2nd rowhttp://store.seoul.go.kr/images/goods/15516_imgl.jpg
3rd rowhttp://store.seoul.go.kr/images/goods/15496_imgl.jpg
4th rowhttp://store.seoul.go.kr/images/goods/15477_imgl.jpg
5th rowhttp://store.seoul.go.kr/images/goods/15476_imgl.jpg
ValueCountFrequency (%)
http://store.seoul.go.kr/images/goods/15536_imgl.jpg 1
 
0.2%
http://store.seoul.go.kr/images/goods/8714_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%
http://store.seoul.go.kr/images/goods/8357_imgl.jpg 1
 
0.2%
Other values (582) 582
98.3%
2024-05-18T17:09:50.945361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2960
 
9.7%
o 2960
 
9.7%
g 2960
 
9.7%
s 2368
 
7.8%
. 2368
 
7.8%
e 1776
 
5.8%
t 1776
 
5.8%
m 1184
 
3.9%
p 1184
 
3.9%
r 1184
 
3.9%
Other values (20) 9793
32.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21312
69.8%
Other Punctuation 5920
 
19.4%
Decimal Number 2689
 
8.8%
Connector Punctuation 592
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2960
13.9%
g 2960
13.9%
s 2368
11.1%
e 1776
8.3%
t 1776
8.3%
m 1184
 
5.6%
p 1184
 
5.6%
r 1184
 
5.6%
l 1184
 
5.6%
i 1184
 
5.6%
Other values (6) 3552
16.7%
Decimal Number
ValueCountFrequency (%)
1 595
22.1%
6 314
11.7%
5 297
11.0%
3 283
10.5%
7 264
9.8%
4 230
 
8.6%
9 229
 
8.5%
2 205
 
7.6%
8 159
 
5.9%
0 113
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 2960
50.0%
. 2368
40.0%
: 592
 
10.0%
Connector Punctuation
ValueCountFrequency (%)
_ 592
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21312
69.8%
Common 9201
30.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2960
13.9%
g 2960
13.9%
s 2368
11.1%
e 1776
8.3%
t 1776
8.3%
m 1184
 
5.6%
p 1184
 
5.6%
r 1184
 
5.6%
l 1184
 
5.6%
i 1184
 
5.6%
Other values (6) 3552
16.7%
Common
ValueCountFrequency (%)
/ 2960
32.2%
. 2368
25.7%
1 595
 
6.5%
_ 592
 
6.4%
: 592
 
6.4%
6 314
 
3.4%
5 297
 
3.2%
3 283
 
3.1%
7 264
 
2.9%
4 230
 
2.5%
Other values (4) 706
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30513
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2960
 
9.7%
o 2960
 
9.7%
g 2960
 
9.7%
s 2368
 
7.8%
. 2368
 
7.8%
e 1776
 
5.8%
t 1776
 
5.8%
m 1184
 
3.9%
p 1184
 
3.9%
r 1184
 
3.9%
Other values (20) 9793
32.1%

판매량
Real number (ℝ)

ZEROS 

Distinct111
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.211149
Minimum0
Maximum1542
Zeros59
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-05-18T17:09:51.642622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12.5
Q329
95-th percentile109
Maximum1542
Range1542
Interquartile range (IQR)25

Descriptive statistics

Standard deviation85.003002
Coefficient of variation (CV)2.723482
Kurtosis192.98299
Mean31.211149
Median Absolute Deviation (MAD)10.5
Skewness12.208123
Sum18477
Variance7225.5103
MonotonicityNot monotonic
2024-05-18T17:09:52.211527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
 
10.0%
1 39
 
6.6%
2 25
 
4.2%
3 21
 
3.5%
9 21
 
3.5%
6 19
 
3.2%
7 19
 
3.2%
11 18
 
3.0%
5 17
 
2.9%
4 17
 
2.9%
Other values (101) 337
56.9%
ValueCountFrequency (%)
0 59
10.0%
1 39
6.6%
2 25
4.2%
3 21
 
3.5%
4 17
 
2.9%
5 17
 
2.9%
6 19
 
3.2%
7 19
 
3.2%
8 16
 
2.7%
9 21
 
3.5%
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%
208 1
0.2%
201 1
0.2%
190 1
0.2%

Interactions

2024-05-18T17:09:35.247110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:28.950388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:30.649573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:32.085654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:33.856086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:35.549395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:29.331253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:30.938720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:32.600983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:34.138386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:35.835044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:29.661578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:31.207879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:32.898898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:34.412249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:36.183550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:30.015998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:31.446570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:33.185222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:34.693979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:36.795845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:30.399991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:31.817703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:33.465555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:09:34.937492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T17:09:52.536800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서ID카테고리ID카테고리명발행기관판매여부판매가출판년도페이지수판매량
도서ID1.0000.4490.4490.8750.2200.5240.8530.5160.045
카테고리ID0.4491.0001.0000.8450.0450.0000.2460.4970.116
카테고리명0.4491.0001.0000.8450.0450.0000.2460.4970.116
발행기관0.8750.8450.8451.0000.6240.9130.8710.7490.564
판매여부0.2200.0450.0450.6241.0000.0880.6540.0000.016
판매가0.5240.0000.0000.9130.0881.0000.3580.0000.000
출판년도0.8530.2460.2460.8710.6540.3581.0000.4350.000
페이지수0.5160.4970.4970.7490.0000.0000.4351.0000.000
판매량0.0450.1160.1160.5640.0160.0000.0000.0001.000
2024-05-18T17:09:52.863527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카테고리명카테고리ID판매여부
카테고리명1.0001.0000.036
카테고리ID1.0001.0000.036
판매여부0.0360.0361.000
2024-05-18T17:09:53.129560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서ID판매가출판년도페이지수판매량카테고리ID카테고리명판매여부
도서ID1.0000.0010.801-0.191-0.1240.2020.2020.165
판매가0.0011.0000.0090.0470.0080.0000.0000.072
출판년도0.8010.0091.000-0.0940.1250.1480.1480.337
페이지수-0.1910.047-0.0941.0000.0120.2280.2280.000
판매량-0.1240.0080.1250.0121.0000.0440.0440.013
카테고리ID0.2020.0000.1480.2280.0441.0001.0000.036
카테고리명0.2020.0000.1480.2280.0441.0001.0000.036
판매여부0.1650.0720.3370.0000.0130.0360.0361.000

Missing values

2024-05-18T17:09:37.797517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T17:09:38.904949image/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
015536103000000역사/사료베트남 옥에오문화 바닷길로 연결된 부남과 백제한성백제박물관판매중20000<NA>2019231http://store.seoul.go.kr/images/goods/15536_imgl.jpg0
115516103000000역사/사료조선시대 서울의 유교 의례와 음악 : 서울역사중점연구 16서울역사편찬원판매중10000조선시대 서울 곳곳에서 행해진 유교 의례와 함께 연주된 음악의 역사성을 규명한 연구서2024319http://store.seoul.go.kr/images/goods/15516_imgl.jpg1
215496103000000역사/사료바닷길에서 찾은 보물 : 2024 선사고대기획전한성백제박물관판매중20000<NA>2024175http://store.seoul.go.kr/images/goods/15496_imgl.jpg3
315477103000000역사/사료서울시 무형문화재(소목장) 창호서울특별시판매중10000<NA>2023158http://store.seoul.go.kr/images/goods/15477_imgl.jpg0
415476103000000역사/사료서울시 무형문화재 제13호(매듭장)서울특별시판매중10000<NA>2023243http://store.seoul.go.kr/images/goods/15476_imgl.jpg18
515457103000000역사/사료백제의 한강유역 회복과 고구려 신라(백제학연구총서 쟁점백제사23)한성백제박물관판매중10000<NA>2023336http://store.seoul.go.kr/images/goods/15457_imgl.jpg5
615456103000000역사/사료돌에 새긴 서울사(서울역사강좌17)서울역사편찬원판매중10000서울에 남아 있는 비석, 바위 글씨의 유래와 역사적 의미를 정리한 대중 역사서2024274http://store.seoul.go.kr/images/goods/15456_imgl.jpg17
715439102000000문화/관광그때 그 서울서울역사박물관판매중17000<NA>2023158http://store.seoul.go.kr/images/goods/15439_imgl.jpg26
815438105000000통계2023서울통계연보서울특별시판매중15000<NA>2023711http://store.seoul.go.kr/images/goods/15438_imgl.jpg0
915437101000000일반행정2024 서울특별시 도시계획위원회 매뉴얼 2.심의기준서울특별시판매중6000<NA>2024553http://store.seoul.go.kr/images/goods/15437_imgl.jpg41
도서ID카테고리ID카테고리명도서명발행기관판매여부판매가간략설명출판년도페이지수도서이미지경로판매량
5821841103000000역사/사료서울인구사(서울역사총서5)시사편찬위원회판매중25000서울의 인구 변동 및 구성에 대한 내용을 정리하여 발간한다.20051417http://store.seoul.go.kr/images/goods/1841_imgl.jpg16
5831581101000000일반행정서울시전문시방서프로그램기술심사담당관절판300000서울특별시 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
5841442103000000역사/사료서울의 성곽(내고향서울4)서울시사편찬위원회판매중5000서울 지역에 있었던 성곽의 역사적 변화와 일화 등을 수록하였다.2004479http://store.seoul.go.kr/images/goods/1442_imgl.jpg19
5851142103000000역사/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
5861141103000000역사/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
587729102000000문화/관광서울역사박물관 600년 서울을 담다: 소도록(국문)서울역사박물관판매중12000서울역사박물관의 상설전시 내용을 소개하는 소도록 국문판이다.2014153http://store.seoul.go.kr/images/goods/729_imgl.jpg3
588294103000000역사/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
589243103000000역사/사료준천사실ㆍ주교지남(서울사료총서 8)시사편찬위원회절판5000준천사실ㆍ주교지남은 제8권으로 발간되었다.2001269http://store.seoul.go.kr/images/goods/243_imgl.jpg126
590152103000000역사/사료서울육백년사(민속편)시사편찬위원회판매중10000서울 역사를 정치ㆍ경제ㆍ사회ㆍ문화 등 전반에 걸쳐 종합적이고 광범위하게 망라하여 체계적으로 서술한 책이다.19901509http://store.seoul.go.kr/images/goods/152_imgl.jpg109
591149101000000일반행정서울의 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