Overview

Dataset statistics

Number of variables12
Number of observations1127
Missing cells436
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.4 KiB
Average record size in memory102.1 B

Variable types

Numeric5
Categorical3
Text4

Dataset

Description파일 다운로드
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
간략설명 has 436 (38.7%) missing valuesMissing
출판년도 is highly skewed (γ1 = -32.96457084)Skewed
도서ID has unique valuesUnique
도서이미지경로 has unique valuesUnique
페이지수 has 260 (23.1%) zerosZeros
판매량 has 200 (17.7%) zerosZeros

Reproduction

Analysis started2024-05-04 06:23:31.365909
Analysis finished2024-05-04 06:23:43.504750
Duration12.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서ID
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4729.1056
Minimum129
Maximum10475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-04T06:23:43.722889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129
5-th percentile215.3
Q12061.5
median4512
Q37362
95-th percentile9489
Maximum10475
Range10346
Interquartile range (IQR)5300.5

Descriptive statistics

Standard deviation3123.3446
Coefficient of variation (CV)0.66045144
Kurtosis-1.285091
Mean4729.1056
Median Absolute Deviation (MAD)2609
Skewness0.075134481
Sum5329702
Variance9755281.5
MonotonicityNot monotonic
2024-05-04T06:23:44.164219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263 1
 
0.1%
2829 1
 
0.1%
2823 1
 
0.1%
2824 1
 
0.1%
2825 1
 
0.1%
2826 1
 
0.1%
2827 1
 
0.1%
2828 1
 
0.1%
2830 1
 
0.1%
2821 1
 
0.1%
Other values (1117) 1117
99.1%
ValueCountFrequency (%)
129 1
0.1%
130 1
0.1%
133 1
0.1%
140 1
0.1%
142 1
0.1%
143 1
0.1%
145 1
0.1%
146 1
0.1%
147 1
0.1%
148 1
0.1%
ValueCountFrequency (%)
10475 1
0.1%
10455 1
0.1%
10435 1
0.1%
10415 1
0.1%
10396 1
0.1%
10395 1
0.1%
10377 1
0.1%
10376 1
0.1%
10375 1
0.1%
10355 1
0.1%

카테고리ID
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
103000000
445 
104000000
276 
101000000
196 
102000000
186 
105000000
 
24

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row103000000
2nd row103000000
3rd row103000000
4th row102000000
5th row101000000

Common Values

ValueCountFrequency (%)
103000000 445
39.5%
104000000 276
24.5%
101000000 196
17.4%
102000000 186
16.5%
105000000 24
 
2.1%

Length

2024-05-04T06:23:44.469255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:23:44.888958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
103000000 445
39.5%
104000000 276
24.5%
101000000 196
17.4%
102000000 186
16.5%
105000000 24
 
2.1%

카테고리명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
역사/사료
445 
연구/논문
276 
일반행정
196 
문화/관광
186 
통계
 
24

Length

Max length5
Median length5
Mean length4.7622005
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
역사/사료 445
39.5%
연구/논문 276
24.5%
일반행정 196
17.4%
문화/관광 186
16.5%
통계 24
 
2.1%

Length

2024-05-04T06:23:45.299232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:23:45.619234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
역사/사료 445
39.5%
연구/논문 276
24.5%
일반행정 196
17.4%
문화/관광 186
16.5%
통계 24
 
2.1%

도서명
Text

Distinct1121
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-04T06:23:46.333286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length40
Mean length17.935226
Min length3

Characters and Unicode

Total characters20213
Distinct characters692
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

Unique1115 ?
Unique (%)98.9%

Sample

1st row서울학연구12호
2nd row서울학연구11호
3rd row모두를위한세계
4th row웹레트로전시도록
5th row바꾸어요 희망으로 다섯번째제안
ValueCountFrequency (%)
서울시 110
 
3.0%
연구 86
 
2.3%
서울의 77
 
2.1%
서울 58
 
1.6%
한성부자료집(漢城府資料集 46
 
1.2%
39
 
1.1%
향토서울 36
 
1.0%
서울학연구 30
 
0.8%
위한 30
 
0.8%
및 29
 
0.8%
Other values (2306) 3143
85.3%
2024-05-04T06:23:47.890554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2588
 
12.8%
서 923
 
4.6%
울 744
 
3.7%
) 368
 
1.8%
( 368
 
1.8%
시 366
 
1.8%
사 334
 
1.7%
2 325
 
1.6%
0 297
 
1.5%
구 286
 
1.4%
Other values (682) 13614
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14198
70.2%
Space Separator 2588
 
12.8%
Decimal Number 1552
 
7.7%
Lowercase Letter 515
 
2.5%
Close Punctuation 369
 
1.8%
Open Punctuation 369
 
1.8%
Uppercase Letter 253
 
1.3%
Other Punctuation 230
 
1.1%
Dash Punctuation 92
 
0.5%
Math Symbol 18
 
0.1%
Other values (6) 29
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 923
 
6.5%
울 744
 
5.2%
시 366
 
2.6%
사 334
 
2.4%
구 286
 
2.0%
의 279
 
2.0%
제 258
 
1.8%
연 253
 
1.8%
한 214
 
1.5%
기 202
 
1.4%
Other values (587) 10339
72.8%
Uppercase Letter
ValueCountFrequency (%)
S 57
22.5%
G 23
 
9.1%
I 15
 
5.9%
D 15
 
5.9%
P 15
 
5.9%
E 14
 
5.5%
M 12
 
4.7%
R 11
 
4.3%
T 10
 
4.0%
U 10
 
4.0%
Other values (13) 71
28.1%
Lowercase Letter
ValueCountFrequency (%)
e 77
15.0%
o 63
12.2%
l 50
9.7%
i 36
 
7.0%
u 34
 
6.6%
n 34
 
6.6%
a 32
 
6.2%
t 30
 
5.8%
s 26
 
5.0%
r 25
 
4.9%
Other values (12) 108
21.0%
Other Punctuation
ValueCountFrequency (%)
: 85
37.0%
, 70
30.4%
. 28
 
12.2%
/ 16
 
7.0%
! 10
 
4.3%
· 7
 
3.0%
' 5
 
2.2%
? 3
 
1.3%
& 3
 
1.3%
… 1
 
0.4%
Other values (2) 2
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 325
20.9%
0 297
19.1%
1 284
18.3%
3 108
 
7.0%
5 105
 
6.8%
4 104
 
6.7%
6 103
 
6.6%
9 86
 
5.5%
7 86
 
5.5%
8 54
 
3.5%
Other Number
ValueCountFrequency (%)
⑤ 1
16.7%
④ 1
16.7%
③ 1
16.7%
② 1
16.7%
① 1
16.7%
⑥ 1
16.7%
Letter Number
ValueCountFrequency (%)
Ⅰ 8
53.3%
Ⅱ 4
26.7%
Ⅹ 1
 
6.7%
Ⅴ 1
 
6.7%
Ⅳ 1
 
6.7%
Math Symbol
ValueCountFrequency (%)
~ 13
72.2%
> 2
 
11.1%
< 2
 
11.1%
+ 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 368
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 368
99.7%
[ 1
 
0.3%
Modifier Symbol
ValueCountFrequency (%)
˙ 2
66.7%
` 1
33.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
“ 1
50.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
50.0%
” 1
50.0%
Space Separator
ValueCountFrequency (%)
2588
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13861
68.6%
Common 5232
 
25.9%
Latin 783
 
3.9%
Han 337
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 923
 
6.7%
울 744
 
5.4%
시 366
 
2.6%
사 334
 
2.4%
구 286
 
2.1%
의 279
 
2.0%
제 258
 
1.9%
연 253
 
1.8%
한 214
 
1.5%
기 202
 
1.5%
Other values (545) 10002
72.2%
Latin
ValueCountFrequency (%)
e 77
 
9.8%
o 63
 
8.0%
S 57
 
7.3%
l 50
 
6.4%
i 36
 
4.6%
u 34
 
4.3%
n 34
 
4.3%
a 32
 
4.1%
t 30
 
3.8%
s 26
 
3.3%
Other values (40) 344
43.9%
Common
ValueCountFrequency (%)
2588
49.5%
) 368
 
7.0%
( 368
 
7.0%
2 325
 
6.2%
0 297
 
5.7%
1 284
 
5.4%
3 108
 
2.1%
5 105
 
2.0%
4 104
 
2.0%
6 103
 
2.0%
Other values (35) 582
 
11.1%
Han
ValueCountFrequency (%)
資 50
14.8%
料 50
14.8%
集 49
14.5%
城 48
14.2%
府 48
14.2%
漢 48
14.2%
大 4
 
1.2%
小 3
 
0.9%
年 2
 
0.6%
市 2
 
0.6%
Other values (32) 33
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13859
68.6%
ASCII 5980
29.6%
CJK 336
 
1.7%
Number Forms 15
 
0.1%
None 7
 
< 0.1%
Enclosed Alphanum 6
 
< 0.1%
Punctuation 5
 
< 0.1%
Modifier Letters 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2588
43.3%
) 368
 
6.2%
( 368
 
6.2%
2 325
 
5.4%
0 297
 
5.0%
1 284
 
4.7%
3 108
 
1.8%
5 105
 
1.8%
4 104
 
1.7%
6 103
 
1.7%
Other values (67) 1330
22.2%
Hangul
ValueCountFrequency (%)
서 923
 
6.7%
울 744
 
5.4%
시 366
 
2.6%
사 334
 
2.4%
구 286
 
2.1%
의 279
 
2.0%
제 258
 
1.9%
연 253
 
1.8%
한 214
 
1.5%
기 202
 
1.5%
Other values (544) 10000
72.2%
CJK
ValueCountFrequency (%)
資 50
14.9%
料 50
14.9%
集 49
14.6%
城 48
14.3%
府 48
14.3%
漢 48
14.3%
大 4
 
1.2%
小 3
 
0.9%
年 2
 
0.6%
市 2
 
0.6%
Other values (31) 32
9.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 8
53.3%
Ⅱ 4
26.7%
Ⅹ 1
 
6.7%
Ⅴ 1
 
6.7%
Ⅳ 1
 
6.7%
None
ValueCountFrequency (%)
· 7
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
六 1
100.0%
Punctuation
ValueCountFrequency (%)
… 1
20.0%
‘ 1
20.0%
’ 1
20.0%
” 1
20.0%
“ 1
20.0%
Enclosed Alphanum
ValueCountFrequency (%)
⑤ 1
16.7%
④ 1
16.7%
③ 1
16.7%
② 1
16.7%
① 1
16.7%
⑥ 1
16.7%

발행기관
Text

Distinct180
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-04T06:23:48.549576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length7.6291038
Min length3

Characters and Unicode

Total characters8598
Distinct characters174
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)9.0%

Sample

1st row서울학연구소
2nd row서울학연구소
3rd row서울시립미술관
4th row서울시립미술관
5th row서울특별시
ValueCountFrequency (%)
시사편찬위원회 150
 
11.8%
서울역사박물관 125
 
9.9%
시정개발연구원 125
 
9.9%
서울시정개발연구원 102
 
8.1%
서울특별시 79
 
6.2%
서울학연구소 74
 
5.8%
한성백제박물관 62
 
4.9%
서울역사편찬원 62
 
4.9%
서울시사편찬위원회 31
 
2.4%
서울시립미술관 23
 
1.8%
Other values (160) 433
34.2%
2024-05-04T06:23:49.746940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 648
 
7.5%
서 545
 
6.3%
울 541
 
6.3%
원 524
 
6.1%
사 451
 
5.2%
관 347
 
4.0%
연 338
 
3.9%
구 335
 
3.9%
정 300
 
3.5%
찬 286
 
3.3%
Other values (164) 4283
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8435
98.1%
Space Separator 154
 
1.8%
Uppercase Letter 4
 
< 0.1%
Decimal Number 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 648
 
7.7%
서 545
 
6.5%
울 541
 
6.4%
원 524
 
6.2%
사 451
 
5.3%
관 347
 
4.1%
연 338
 
4.0%
구 335
 
4.0%
정 300
 
3.6%
찬 286
 
3.4%
Other values (154) 4120
48.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
H 1
25.0%
F 1
25.0%
T 1
25.0%
Decimal Number
ValueCountFrequency (%)
9 1
25.0%
1 1
25.0%
0 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
154
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8435
98.1%
Common 159
 
1.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 648
 
7.7%
서 545
 
6.5%
울 541
 
6.4%
원 524
 
6.2%
사 451
 
5.3%
관 347
 
4.1%
연 338
 
4.0%
구 335
 
4.0%
정 300
 
3.6%
찬 286
 
3.4%
Other values (154) 4120
48.8%
Common
ValueCountFrequency (%)
154
96.9%
9 1
 
0.6%
1 1
 
0.6%
0 1
 
0.6%
2 1
 
0.6%
/ 1
 
0.6%
Latin
ValueCountFrequency (%)
S 1
25.0%
H 1
25.0%
F 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8435
98.1%
ASCII 163
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 648
 
7.7%
서 545
 
6.5%
울 541
 
6.4%
원 524
 
6.2%
사 451
 
5.3%
관 347
 
4.1%
연 338
 
4.0%
구 335
 
4.0%
정 300
 
3.6%
찬 286
 
3.4%
Other values (154) 4120
48.8%
ASCII
ValueCountFrequency (%)
154
94.5%
S 1
 
0.6%
H 1
 
0.6%
F 1
 
0.6%
9 1
 
0.6%
1 1
 
0.6%
0 1
 
0.6%
2 1
 
0.6%
T 1
 
0.6%
/ 1
 
0.6%

판매여부
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
판매중
629 
품절
419 
절판
 
45
임시품절
 
34

Length

Max length4
Median length3
Mean length2.6184561
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
판매중 629
55.8%
품절 419
37.2%
절판 45
 
4.0%
임시품절 34
 
3.0%

Length

2024-05-04T06:23:50.211466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:23:50.612603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
판매중 629
55.8%
품절 419
37.2%
절판 45
 
4.0%
임시품절 34
 
3.0%

판매가
Real number (ℝ)

Distinct47
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11165.395
Minimum500
Maximum300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-04T06:23:51.283852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile3000
Q15000
median9000
Q312000
95-th percentile25490
Maximum300000
Range299500
Interquartile range (IQR)7000

Descriptive statistics

Standard deviation12730.294
Coefficient of variation (CV)1.1401562
Kurtosis264.82908
Mean11165.395
Median Absolute Deviation (MAD)4000
Skewness13.206615
Sum12583400
Variance1.6206038 × 108
MonotonicityNot monotonic
2024-05-04T06:23:51.825230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
10000 247
21.9%
5000 210
18.6%
8000 111
9.8%
7000 77
 
6.8%
20000 61
 
5.4%
15000 52
 
4.6%
3000 42
 
3.7%
9000 41
 
3.6%
6000 38
 
3.4%
12000 34
 
3.0%
Other values (37) 214
19.0%
ValueCountFrequency (%)
500 3
 
0.3%
1000 8
 
0.7%
1500 2
 
0.2%
2000 15
 
1.3%
2500 3
 
0.3%
3000 42
 
3.7%
3900 3
 
0.3%
4000 9
 
0.8%
5000 210
18.6%
5500 1
 
0.1%
ValueCountFrequency (%)
300000 1
 
0.1%
180000 1
 
0.1%
100000 1
 
0.1%
80000 1
 
0.1%
54000 1
 
0.1%
50000 3
 
0.3%
40000 1
 
0.1%
35000 13
1.2%
30000 30
2.7%
29000 1
 
0.1%

간략설명
Text

MISSING 

Distinct559
Distinct (%)80.9%
Missing436
Missing (%)38.7%
Memory size8.9 KiB
2024-05-04T06:23:53.005872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length253
Median length106
Mean length63.081042
Min length14

Characters and Unicode

Total characters43589
Distinct characters780
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

Unique522 ?
Unique (%)75.5%

Sample

1st row이 책은 3.1운동 100년 역사를 기념하여 서울시립미술관에서 전시한 모두를 위한 세계전의 전시 도록입니다 .
2nd row서울시립 북서울미술관 웹-레트로 전시도록입니다. 지난 30여년간 커뮤니케이션, 이미지 생산과 소비, 예술적 실천을 근본적으로 재조건화해온 월드와일드웹에 주목, 넷을 통해 시도되었던 새로운 미술들의 역사를 되짚어 봅니다.
3rd row서울시와 관련된 법령,제도 중 개선해야 할 과제들에 대한 문제점과 해결방안이 담겨있다.
4th row이 도록은 청계천박물관의 기획전 '백운동천 물길 굽이 돌아 구름밖으로'의 전시도록이다
5th row이 책은 한성백제박물관이 2018년 9월7일부터 12월2일까지 개최하는 2018 국제교류전 의 전시도록이다
ValueCountFrequency (%)
서울의 162
 
1.7%
등 87
 
0.9%
대한 74
 
0.8%
책이다 67
 
0.7%
및 61
 
0.7%
각 61
 
0.7%
담고 55
 
0.6%
내용을 55
 
0.6%
서울 53
 
0.6%
문화 53
 
0.6%
Other values (3967) 8602
92.2%
2024-05-04T06:23:54.616682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8652
 
19.8%
서 1063
 
2.4%
의 916
 
2.1%
. 710
 
1.6%
다 698
 
1.6%
한 684
 
1.6%
울 681
 
1.6%
이 619
 
1.4%
사 604
 
1.4%
시 603
 
1.4%
Other values (770) 28359
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30608
70.2%
Space Separator 8652
 
19.8%
Decimal Number 2021
 
4.6%
Other Punctuation 1306
 
3.0%
Open Punctuation 296
 
0.7%
Close Punctuation 296
 
0.7%
Uppercase Letter 106
 
0.2%
Lowercase Letter 98
 
0.2%
Math Symbol 93
 
0.2%
Initial Punctuation 37
 
0.1%
Other values (6) 76
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1063
 
3.5%
의 916
 
3.0%
다 698
 
2.3%
한 684
 
2.2%
울 681
 
2.2%
이 619
 
2.0%
사 604
 
2.0%
시 603
 
2.0%
을 557
 
1.8%
에 556
 
1.8%
Other values (686) 23627
77.2%
Lowercase Letter
ValueCountFrequency (%)
e 13
13.3%
o 12
12.2%
n 9
9.2%
a 9
9.2%
t 8
8.2%
i 7
7.1%
s 7
7.1%
r 7
7.1%
d 6
 
6.1%
l 4
 
4.1%
Other values (10) 16
16.3%
Uppercase Letter
ValueCountFrequency (%)
E 15
14.2%
S 13
12.3%
N 12
11.3%
I 10
9.4%
L 10
9.4%
M 8
7.5%
W 7
 
6.6%
U 5
 
4.7%
P 4
 
3.8%
G 4
 
3.8%
Other values (9) 18
17.0%
Decimal Number
ValueCountFrequency (%)
1 517
25.6%
2 324
16.0%
0 318
15.7%
9 149
 
7.4%
5 134
 
6.6%
4 132
 
6.5%
3 132
 
6.5%
6 126
 
6.2%
8 100
 
4.9%
7 89
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 710
54.4%
, 525
40.2%
· 44
 
3.4%
: 9
 
0.7%
" 8
 
0.6%
/ 6
 
0.5%
' 2
 
0.2%
． 1
 
0.1%
; 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 159
53.7%
《 54
 
18.2%
「 47
 
15.9%
『 23
 
7.8%
[ 12
 
4.1%
〈 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 159
53.7%
》 55
 
18.6%
」 47
 
15.9%
』 23
 
7.8%
] 12
 
4.1%
Math Symbol
ValueCountFrequency (%)
~ 52
55.9%
> 16
 
17.2%
< 16
 
17.2%
～ 5
 
5.4%
∼ 4
 
4.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 2
50.0%
Other Number
ValueCountFrequency (%)
⑥ 1
50.0%
① 1
50.0%
Space Separator
ValueCountFrequency (%)
8652
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 37
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Control
ValueCountFrequency (%)
16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30446
69.8%
Common 12773
29.3%
Latin 208
 
0.5%
Han 162
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1063
 
3.5%
의 916
 
3.0%
다 698
 
2.3%
한 684
 
2.2%
울 681
 
2.2%
이 619
 
2.0%
사 604
 
2.0%
시 603
 
2.0%
을 557
 
1.8%
에 556
 
1.8%
Other values (624) 23465
77.1%
Han
ValueCountFrequency (%)
史 10
 
6.2%
書 9
 
5.6%
年 8
 
4.9%
宗 8
 
4.9%
朝 8
 
4.9%
京 5
 
3.1%
溪 5
 
3.1%
料 5
 
3.1%
叢 5
 
3.1%
李 4
 
2.5%
Other values (52) 95
58.6%
Common
ValueCountFrequency (%)
8652
67.7%
. 710
 
5.6%
, 525
 
4.1%
1 517
 
4.0%
2 324
 
2.5%
0 318
 
2.5%
( 159
 
1.2%
) 159
 
1.2%
9 149
 
1.2%
5 134
 
1.0%
Other values (33) 1126
 
8.8%
Latin
ValueCountFrequency (%)
E 15
 
7.2%
S 13
 
6.2%
e 13
 
6.2%
N 12
 
5.8%
o 12
 
5.8%
I 10
 
4.8%
L 10
 
4.8%
n 9
 
4.3%
a 9
 
4.3%
M 8
 
3.8%
Other values (31) 97
46.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30403
69.7%
ASCII 12598
28.9%
None 300
 
0.7%
CJK 158
 
0.4%
Punctuation 73
 
0.2%
Compat Jamo 43
 
0.1%
CJK Compat Ideographs 4
 
< 0.1%
Math Operators 4
 
< 0.1%
Number Forms 4
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8652
68.7%
. 710
 
5.6%
, 525
 
4.2%
1 517
 
4.1%
2 324
 
2.6%
0 318
 
2.5%
( 159
 
1.3%
) 159
 
1.3%
9 149
 
1.2%
5 134
 
1.1%
Other values (57) 951
 
7.5%
Hangul
ValueCountFrequency (%)
서 1063
 
3.5%
의 916
 
3.0%
다 698
 
2.3%
한 684
 
2.2%
울 681
 
2.2%
이 619
 
2.0%
사 604
 
2.0%
시 603
 
2.0%
을 557
 
1.8%
에 556
 
1.8%
Other values (622) 23422
77.0%
None
ValueCountFrequency (%)
》 55
18.3%
《 54
18.0%
」 47
15.7%
「 47
15.7%
· 44
14.7%
『 23
7.7%
』 23
7.7%
～ 5
 
1.7%
． 1
 
0.3%
〈 1
 
0.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 42
97.7%
ㅗ 1
 
2.3%
Punctuation
ValueCountFrequency (%)
‘ 37
50.7%
’ 36
49.3%
CJK
ValueCountFrequency (%)
史 10
 
6.3%
書 9
 
5.7%
年 8
 
5.1%
宗 8
 
5.1%
朝 8
 
5.1%
京 5
 
3.2%
溪 5
 
3.2%
料 5
 
3.2%
叢 5
 
3.2%
錄 4
 
2.5%
Other values (51) 91
57.6%
CJK Compat Ideographs
ValueCountFrequency (%)
李 4
100.0%
Math Operators
ValueCountFrequency (%)
∼ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 2
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
⑥ 1
50.0%
① 1
50.0%

출판년도
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct37
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.9175
Minimum0
Maximum2019
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-04T06:23:55.342212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1998
Q12004
median2012
Q32015
95-th percentile2018
Maximum2019
Range2019
Interquartile range (IQR)11

Descriptive statistics

Standard deviation60.229175
Coefficient of variation (CV)0.029995842
Kurtosis1099.8808
Mean2007.9175
Median Absolute Deviation (MAD)5
Skewness-32.964571
Sum2262923
Variance3627.5536
MonotonicityNot monotonic
2024-05-04T06:23:55.903201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
2015 110
 
9.8%
2016 103
 
9.1%
2017 96
 
8.5%
2004 80
 
7.1%
2014 77
 
6.8%
2006 67
 
5.9%
2018 62
 
5.5%
2005 58
 
5.1%
2013 57
 
5.1%
2002 52
 
4.6%
Other values (27) 365
32.4%
ValueCountFrequency (%)
0 1
0.1%
1981 1
0.1%
1982 1
0.1%
1983 1
0.1%
1985 1
0.1%
1986 1
0.1%
1987 1
0.1%
1990 1
0.1%
1991 1
0.1%
1992 1
0.1%
ValueCountFrequency (%)
2019 12
 
1.1%
2018 62
5.5%
2017 96
8.5%
2016 103
9.1%
2015 110
9.8%
2014 77
6.8%
2013 57
5.1%
2012 50
4.4%
2011 35
 
3.1%
2010 15
 
1.3%

페이지수
Real number (ℝ)

ZEROS 

Distinct421
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.21029
Minimum0
Maximum2168
Zeros260
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-04T06:23:56.491390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q188
median184
Q3312
95-th percentile703.4
Maximum2168
Range2168
Interquartile range (IQR)224

Descriptive statistics

Standard deviation255.29552
Coefficient of variation (CV)1.0762413
Kurtosis10.627585
Mean237.21029
Median Absolute Deviation (MAD)117
Skewness2.5806854
Sum267336
Variance65175.8
MonotonicityNot monotonic
2024-05-04T06:23:56.980235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 260
 
23.1%
205 9
 
0.8%
200 8
 
0.7%
152 8
 
0.7%
180 8
 
0.7%
160 8
 
0.7%
128 8
 
0.7%
183 7
 
0.6%
260 7
 
0.6%
225 7
 
0.6%
Other values (411) 797
70.7%
ValueCountFrequency (%)
0 260
23.1%
1 2
 
0.2%
26 1
 
0.1%
41 1
 
0.1%
48 1
 
0.1%
51 1
 
0.1%
55 1
 
0.1%
59 1
 
0.1%
62 1
 
0.1%
63 1
 
0.1%
ValueCountFrequency (%)
2168 1
0.1%
1994 1
0.1%
1904 1
0.1%
1554 1
0.1%
1512 1
0.1%
1509 1
0.1%
1417 1
0.1%
1403 1
0.1%
1400 1
0.1%
1384 1
0.1%

도서이미지경로
Text

UNIQUE 

Distinct1127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-04T06:23:57.661636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length51
Mean length50.832298
Min length50

Characters and Unicode

Total characters57288
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

Unique1127 ?
Unique (%)100.0%

Sample

1st rowhttp://store.seoul.go.kr/images/goods/263_imgl.jpg
2nd rowhttp://store.seoul.go.kr/images/goods/262_imgl.jpg
3rd rowhttp://store.seoul.go.kr/images/goods/10475_imgl.jpg
4th rowhttp://store.seoul.go.kr/images/goods/10455_imgl.jpg
5th rowhttp://store.seoul.go.kr/images/goods/10435_imgl.jpg
ValueCountFrequency (%)
http://store.seoul.go.kr/images/goods/263_imgl.jpg 1
 
0.1%
http://store.seoul.go.kr/images/goods/2830_imgl.jpg 1
 
0.1%
http://store.seoul.go.kr/images/goods/2824_imgl.jpg 1
 
0.1%
http://store.seoul.go.kr/images/goods/2825_imgl.jpg 1
 
0.1%
http://store.seoul.go.kr/images/goods/2826_imgl.jpg 1
 
0.1%
http://store.seoul.go.kr/images/goods/2827_imgl.jpg 1
 
0.1%
http://store.seoul.go.kr/images/goods/2828_imgl.jpg 1
 
0.1%
http://store.seoul.go.kr/images/goods/2818_imgl.jpg 1
 
0.1%
http://store.seoul.go.kr/images/goods/2831_imgl.jpg 1
 
0.1%
http://store.seoul.go.kr/images/goods/2822_imgl.jpg 1
 
0.1%
Other values (1117) 1117
99.1%
2024-05-04T06:23:58.709461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5635
 
9.8%
o 5635
 
9.8%
g 5635
 
9.8%
s 4508
 
7.9%
. 4508
 
7.9%
e 3381
 
5.9%
t 3381
 
5.9%
m 2254
 
3.9%
p 2254
 
3.9%
r 2254
 
3.9%
Other values (20) 17843
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 40572
70.8%
Other Punctuation 11270
 
19.7%
Decimal Number 4319
 
7.5%
Connector Punctuation 1127
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 5635
13.9%
g 5635
13.9%
s 4508
11.1%
e 3381
8.3%
t 3381
8.3%
m 2254
 
5.6%
p 2254
 
5.6%
r 2254
 
5.6%
l 2254
 
5.6%
i 2254
 
5.6%
Other values (6) 6762
16.7%
Decimal Number
ValueCountFrequency (%)
2 661
15.3%
3 572
13.2%
5 508
11.8%
1 463
10.7%
7 429
9.9%
4 384
8.9%
9 370
8.6%
6 363
8.4%
8 337
7.8%
0 232
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 5635
50.0%
. 4508
40.0%
: 1127
 
10.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 40572
70.8%
Common 16716
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 5635
13.9%
g 5635
13.9%
s 4508
11.1%
e 3381
8.3%
t 3381
8.3%
m 2254
 
5.6%
p 2254
 
5.6%
r 2254
 
5.6%
l 2254
 
5.6%
i 2254
 
5.6%
Other values (6) 6762
16.7%
Common
ValueCountFrequency (%)
/ 5635
33.7%
. 4508
27.0%
_ 1127
 
6.7%
: 1127
 
6.7%
2 661
 
4.0%
3 572
 
3.4%
5 508
 
3.0%
1 463
 
2.8%
7 429
 
2.6%
4 384
 
2.3%
Other values (4) 1302
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5635
 
9.8%
o 5635
 
9.8%
g 5635
 
9.8%
s 4508
 
7.9%
. 4508
 
7.9%
e 3381
 
5.9%
t 3381
 
5.9%
m 2254
 
3.9%
p 2254
 
3.9%
r 2254
 
3.9%
Other values (20) 17843
31.1%

판매량
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.216504
Minimum0
Maximum2190
Zeros200
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-04T06:23:59.142545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q3100
95-th percentile113
Maximum2190
Range2190
Interquartile range (IQR)99

Descriptive statistics

Standard deviation106.57676
Coefficient of variation (CV)2.3570322
Kurtosis231.43062
Mean45.216504
Median Absolute Deviation (MAD)10
Skewness13.00339
Sum50959
Variance11358.605
MonotonicityNot monotonic
2024-05-04T06:23:59.570262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 200
17.7%
1 125
 
11.1%
100 94
 
8.3%
2 72
 
6.4%
101 53
 
4.7%
3 44
 
3.9%
5 36
 
3.2%
10 36
 
3.2%
102 35
 
3.1%
4 28
 
2.5%
Other values (120) 404
35.8%
ValueCountFrequency (%)
0 200
17.7%
1 125
11.1%
2 72
 
6.4%
3 44
 
3.9%
4 28
 
2.5%
5 36
 
3.2%
6 18
 
1.6%
7 13
 
1.2%
8 10
 
0.9%
9 8
 
0.7%
ValueCountFrequency (%)
2190 1
0.1%
1889 1
0.1%
937 1
0.1%
847 1
0.1%
507 1
0.1%
414 1
0.1%
411 1
0.1%
308 1
0.1%
302 1
0.1%
288 1
0.1%

Interactions

2024-05-04T06:23:40.874640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:34.223090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:36.084957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:37.679438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:39.268638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:41.208852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:34.773138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:36.358003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:38.066149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:39.585294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:41.623010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:35.076480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:36.684350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:38.356769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:39.937640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:42.061911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:35.399683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:37.099766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:38.664172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:40.324178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:42.340656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:35.710499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:37.363336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:38.975287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:23:40.584355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T06:23:59.898286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서ID카테고리ID카테고리명판매여부판매가출판년도페이지수판매량
도서ID1.0000.5700.5700.5860.1340.0910.2770.109
카테고리ID0.5701.0001.0000.4060.0840.0210.5150.055
카테고리명0.5701.0001.0000.4060.0840.0210.5150.055
판매여부0.5860.4060.4061.0000.1040.2060.2160.000
판매가0.1340.0840.0840.1041.0000.0000.2310.000
출판년도0.0910.0210.0210.2060.0001.0000.0000.000
페이지수0.2770.5150.5150.2160.2310.0001.0000.000
판매량0.1090.0550.0550.0000.0000.0000.0001.000
2024-05-04T06:24:00.296407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카테고리명카테고리ID판매여부
카테고리명1.0001.0000.342
카테고리ID1.0001.0000.342
판매여부0.3420.3421.000
2024-05-04T06:24:00.572582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서ID판매가출판년도페이지수판매량카테고리ID카테고리명판매여부
도서ID1.0000.2030.964-0.304-0.1540.2710.2710.390
판매가0.2031.0000.1770.129-0.0040.0560.0560.066
출판년도0.9640.1771.000-0.281-0.1350.0260.0260.137
페이지수-0.3040.129-0.2811.0000.0460.2380.2380.130
판매량-0.154-0.004-0.1350.0461.0000.0350.0350.000
카테고리ID0.2710.0560.0260.2380.0351.0001.0000.342
카테고리명0.2710.0560.0260.2380.0351.0001.0000.342
판매여부0.3900.0660.1370.1300.0000.3420.3421.000

Missing values

2024-05-04T06:23:42.714041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T06:23:43.291451image/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
0263103000000역사/사료서울학연구12호서울학연구소품절8000<NA>1998231http://store.seoul.go.kr/images/goods/263_imgl.jpg102
1262103000000역사/사료서울학연구11호서울학연구소품절8000<NA>1998339http://store.seoul.go.kr/images/goods/262_imgl.jpg103
210475103000000역사/사료모두를위한세계서울시립미술관판매중15000이 책은 3.1운동 100년 역사를 기념하여 서울시립미술관에서 전시한 모두를 위한 세계전의 전시 도록입니다 .2019128http://store.seoul.go.kr/images/goods/10475_imgl.jpg0
310455102000000문화/관광웹레트로전시도록서울시립미술관판매중20000서울시립 북서울미술관 웹-레트로 전시도록입니다. 지난 30여년간 커뮤니케이션, 이미지 생산과 소비, 예술적 실천을 근본적으로 재조건화해온 월드와일드웹에 주목, 넷을 통해 시도되었던 새로운 미술들의 역사를 되짚어 봅니다.20190http://store.seoul.go.kr/images/goods/10455_imgl.jpg1
410435101000000일반행정바꾸어요 희망으로 다섯번째제안서울특별시판매중5000서울시와 관련된 법령,제도 중 개선해야 할 과제들에 대한 문제점과 해결방안이 담겨있다.20180http://store.seoul.go.kr/images/goods/10435_imgl.jpg20
510415103000000역사/사료백운동천청계천박물관판매중8000이 도록은 청계천박물관의 기획전 '백운동천 물길 굽이 돌아 구름밖으로'의 전시도록이다20180http://store.seoul.go.kr/images/goods/10415_imgl.jpg30
610396103000000역사/사료한중교류의 관문 산동한성백제박물관판매중20000이 책은 한성백제박물관이 2018년 9월7일부터 12월2일까지 개최하는 2018 국제교류전 의 전시도록이다20180http://store.seoul.go.kr/images/goods/10396_imgl.jpg10
710395103000000역사/사료백제왕의 선물한성백제박물관판매중17000이 책은 2015년 12월29일부터 2016년 2월28일까지 한성백제박물관에서 개최하는 2015 특별전시회 의 전시도록이다20160http://store.seoul.go.kr/images/goods/10395_imgl.jpg10
810377103000000역사/사료영산강 옹관의 한성나들이한성백제박물관판매중20000이 책은 한성백제박물관이 2017년 12월21일부터 2018년 2월25일까지 개최하는 2017 선사고대기획전 의 전시도록이다20170http://store.seoul.go.kr/images/goods/10377_imgl.jpg10
910376103000000역사/사료가야 백제와만나다한성백제박물관판매중17000이책은 2017냔 3월30일부터 2017년5월28일까지 한성백제박물관에서 개최하는 2017 봄 백제문화 특별전 의 전시도록이다20170http://store.seoul.go.kr/images/goods/10376_imgl.jpg10
도서ID카테고리ID카테고리명도서명발행기관판매여부판매가간략설명출판년도페이지수도서이미지경로판매량
1117148103000000역사/사료서울육백년사 5시사편찬위원회품절15000<서울육백년사>는 서울 역사를 정치ㆍ경제ㆍ사회ㆍ문화 등 전반에 걸쳐 종합적이고 광범위하게 망라하여 체계적으로 서술한 책이다.19831358http://store.seoul.go.kr/images/goods/148_imgl.jpg111
1118147104000000연구/논문서울학 연구서설서울학연구소품절8000서울학이란 무엇이며, 어떻게 할 것인가에 대한 문제를 다룬 전문 연구서1994275http://store.seoul.go.kr/images/goods/147_imgl.jpg0
1119146103000000역사/사료서울육백년사 4시사편찬위원회품절15000<서울육백년사>는 서울 역사를 정치ㆍ경제ㆍ사회ㆍ문화 등 전반에 걸쳐 종합적이고 광범위하게 망라하여 체계적으로 서술한 책이다.19811305http://store.seoul.go.kr/images/goods/146_imgl.jpg119
1120145103000000역사/사료서울근현대사기행서울학연구소품절8000서울 근현대사를 주제별로 서술20040http://store.seoul.go.kr/images/goods/145_imgl.jpg113
1121143102000000문화/관광서울의 음식문화서울학연구소판매중8000서울의 전통음식을 영양학과 인류학적 관점으로 분석, 검토한 교양서1996314http://store.seoul.go.kr/images/goods/143_imgl.jpg112
1122142101000000일반행정2002 FIFA 월드컵 한국/일본 서울특별시 리포트 1509일의 대장정체육청소년과품절16000<NA>2003441http://store.seoul.go.kr/images/goods/142_imgl.jpg101
1123140102000000문화/관광서울의 경과곡서울학연구소임시품절6000조선시대 서울의 아름다운 자연의 모습과 이러한 자연과 삶이 일체화된 공간으로 조성되었던 팔경과 구곡을 시문, 회화 등을 통하여 실감있게 보여준다.20071994http://store.seoul.go.kr/images/goods/140_imgl.jpg116
1124133102000000문화/관광한강홍보엽서한강관리사업소절판500<NA>20040http://store.seoul.go.kr/images/goods/133_imgl.jpg103
1125130103000000역사/사료사진으로보는서울2 - 일제 침략 아래서의 서울시사편찬위원회판매중20000일제 식민통치의 실상과 독립운동, 파행적인 도시화의 진행과 시민생활의 변화 등을 총 470여 매의 사진을 통해 보여주면서, 이 시기 민족의 아픔과 고통의 역사를 사실적으로 알려준다.20020http://store.seoul.go.kr/images/goods/130_imgl.jpg154
1126129103000000역사/사료사진으로보는서울1 - 개항 이후 서울의 근대화와 그 시련시사편찬위원회판매중20000위기에 처한 구한말의 통치질서와 외세의 침략, 근대화의 추진과 갈등, 시민생활의 변화 등과 관련된 총 430여 매의 사진과 그 해설문이 수록되었다.20020http://store.seoul.go.kr/images/goods/129_imgl.jpg148