Overview

Dataset statistics

Number of variables11
Number of observations104
Missing cells7
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory93.3 B

Variable types

Numeric4
Text4
Categorical3

Dataset

Description인천광역시 역사자료관에서 인천의 역사·문화 속에서 한국 최초이자 인천 최고가 되는 사실들을 정리하여 발행한 자료이며, 스마트GIS 위에 지도기반으로 정보를 제공하기 위해 재가공한 자료입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15034390&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 발생년도 and 1 other fieldsHigh correlation
발생년도 is highly overall correlated with 연번High correlation
X좌표 is highly overall correlated with 지역High correlation
Y좌표 is highly overall correlated with 지역High correlation
시대 is highly overall correlated with 연번High correlation
지역 is highly overall correlated with X좌표 and 1 other fieldsHigh correlation
발생년도 has 6 (5.8%) missing valuesMissing
콘텐츠명 has unique valuesUnique
스마트GIS 링크 has unique valuesUnique
X좌표 has unique valuesUnique
Y좌표 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:04:36.098136
Analysis finished2024-03-18 03:04:38.077831
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.115385
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-18T12:04:38.144173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.15
Q126.75
median52.5
Q378.25
95-th percentile96.85
Maximum100
Range99
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation29.591165
Coefficient of variation (CV)0.56780095
Kurtosis-1.2412318
Mean52.115385
Median Absolute Deviation (MAD)26
Skewness-0.050031296
Sum5420
Variance875.63704
MonotonicityIncreasing
2024-03-18T12:04:38.257961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 3
 
2.9%
97 3
 
2.9%
1 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
86.5%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
 
1.0%
99 1
 
1.0%
98 1
 
1.0%
97 3
2.9%
96 1
 
1.0%
95 1
 
1.0%
94 1
 
1.0%
93 1
 
1.0%
92 1
 
1.0%
91 1
 
1.0%

콘텐츠명
Text

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-03-18T12:04:38.496191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length15.336538
Min length7

Characters and Unicode

Total characters1595
Distinct characters314
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)100.0%

Sample

1st row강화 부근리 지석묘
2nd row인천의 발상지 문학산성
3rd row첫 번째 국제항 능허대(凌虛臺)
4th row가장 오래된 절 전등사
5th row남한 유일의 단군 관련 공간 참성단
ValueCountFrequency (%)
최초의 8
 
2.0%
인천 8
 
2.0%
시작 7
 
1.8%
효시 6
 
1.5%
유일의 5
 
1.3%
우리 4
 
1.0%
출발 4
 
1.0%
하늘로 3
 
0.8%
하나의 3
 
0.8%
미래 3
 
0.8%
Other values (320) 347
87.2%
2024-03-18T12:04:38.996132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
 
18.4%
의 57
 
3.6%
인 48
 
3.0%
천 34
 
2.1%
시 23
 
1.4%
대 22
 
1.4%
도 21
 
1.3%
제 19
 
1.2%
기 19
 
1.2%
지 18
 
1.1%
Other values (304) 1040
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1265
79.3%
Space Separator 294
 
18.4%
Decimal Number 19
 
1.2%
Dash Punctuation 6
 
0.4%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 57
 
4.5%
인 48
 
3.8%
천 34
 
2.7%
시 23
 
1.8%
대 22
 
1.7%
도 21
 
1.7%
제 19
 
1.5%
기 19
 
1.5%
지 18
 
1.4%
공 17
 
1.3%
Other values (291) 987
78.0%
Decimal Number
ValueCountFrequency (%)
2 4
21.1%
6 3
15.8%
1 3
15.8%
5 3
15.8%
3 2
10.5%
0 2
10.5%
7 1
 
5.3%
8 1
 
5.3%
Space Separator
ValueCountFrequency (%)
294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1258
78.9%
Common 330
 
20.7%
Han 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 57
 
4.5%
인 48
 
3.8%
천 34
 
2.7%
시 23
 
1.8%
대 22
 
1.7%
도 21
 
1.7%
제 19
 
1.5%
기 19
 
1.5%
지 18
 
1.4%
공 17
 
1.4%
Other values (284) 980
77.9%
Common
ValueCountFrequency (%)
294
89.1%
- 6
 
1.8%
( 4
 
1.2%
) 4
 
1.2%
2 4
 
1.2%
6 3
 
0.9%
. 3
 
0.9%
1 3
 
0.9%
5 3
 
0.9%
3 2
 
0.6%
Other values (3) 4
 
1.2%
Han
ValueCountFrequency (%)
凌 1
14.3%
虛 1
14.3%
臺 1
14.3%
御 1
14.3%
鄕 1
14.3%
禮 1
14.3%
砲 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1258
78.9%
ASCII 330
 
20.7%
CJK 5
 
0.3%
CJK Compat Ideographs 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
294
89.1%
- 6
 
1.8%
( 4
 
1.2%
) 4
 
1.2%
2 4
 
1.2%
6 3
 
0.9%
. 3
 
0.9%
1 3
 
0.9%
5 3
 
0.9%
3 2
 
0.6%
Other values (3) 4
 
1.2%
Hangul
ValueCountFrequency (%)
의 57
 
4.5%
인 48
 
3.8%
천 34
 
2.7%
시 23
 
1.8%
대 22
 
1.7%
도 21
 
1.7%
제 19
 
1.5%
기 19
 
1.5%
지 18
 
1.4%
공 17
 
1.4%
Other values (284) 980
77.9%
CJK Compat Ideographs
ValueCountFrequency (%)
凌 1
50.0%
禮 1
50.0%
CJK
ValueCountFrequency (%)
虛 1
20.0%
臺 1
20.0%
御 1
20.0%
鄕 1
20.0%
砲 1
20.0%

주소
Text

Distinct95
Distinct (%)92.2%
Missing1
Missing (%)1.0%
Memory size964.0 B
2024-03-18T12:04:39.569551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length17.543689
Min length7

Characters and Unicode

Total characters1807
Distinct characters110
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

Unique88 ?
Unique (%)85.4%

Sample

1st row인천광역시 강화군 하점면 부근리 317
2nd row인천광역시 남구 문학동 산27-1
3rd row인천광역시 연수구 옥련동 194-54
4th row인천광역시 강화군 길상면 온수리 635
5th row인천광역시 강화군 화도면 문산리 산42-1
ValueCountFrequency (%)
인천광역시 100
24.2%
중구 56
 
13.6%
강화군 13
 
3.1%
전동 10
 
2.4%
동구 8
 
1.9%
연수구 8
 
1.9%
내동 7
 
1.7%
남구 7
 
1.7%
북성동1가 5
 
1.2%
경동 5
 
1.2%
Other values (158) 194
47.0%
2024-03-18T12:04:39.998315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
17.2%
인 106
 
5.9%
천 106
 
5.9%
역 103
 
5.7%
광 100
 
5.5%
시 100
 
5.5%
동 92
 
5.1%
구 86
 
4.8%
1 71
 
3.9%
- 65
 
3.6%
Other values (100) 668
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1119
61.9%
Decimal Number 311
 
17.2%
Space Separator 310
 
17.2%
Dash Punctuation 65
 
3.6%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 106
 
9.5%
천 106
 
9.5%
역 103
 
9.2%
광 100
 
8.9%
시 100
 
8.9%
동 92
 
8.2%
구 86
 
7.7%
중 61
 
5.5%
가 26
 
2.3%
화 22
 
2.0%
Other values (86) 317
28.3%
Decimal Number
ValueCountFrequency (%)
1 71
22.8%
2 53
17.0%
3 43
13.8%
5 27
 
8.7%
7 23
 
7.4%
4 21
 
6.8%
6 21
 
6.8%
0 20
 
6.4%
9 17
 
5.5%
8 15
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1119
61.9%
Common 686
38.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 106
 
9.5%
천 106
 
9.5%
역 103
 
9.2%
광 100
 
8.9%
시 100
 
8.9%
동 92
 
8.2%
구 86
 
7.7%
중 61
 
5.5%
가 26
 
2.3%
화 22
 
2.0%
Other values (86) 317
28.3%
Common
ValueCountFrequency (%)
310
45.2%
1 71
 
10.3%
- 65
 
9.5%
2 53
 
7.7%
3 43
 
6.3%
5 27
 
3.9%
7 23
 
3.4%
4 21
 
3.1%
6 21
 
3.1%
0 20
 
2.9%
Other values (2) 32
 
4.7%
Latin
ValueCountFrequency (%)
J 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1119
61.9%
ASCII 688
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
45.1%
1 71
 
10.3%
- 65
 
9.4%
2 53
 
7.7%
3 43
 
6.2%
5 27
 
3.9%
7 23
 
3.3%
4 21
 
3.1%
6 21
 
3.1%
0 20
 
2.9%
Other values (4) 34
 
4.9%
Hangul
ValueCountFrequency (%)
인 106
 
9.5%
천 106
 
9.5%
역 103
 
9.2%
광 100
 
8.9%
시 100
 
8.9%
동 92
 
8.2%
구 86
 
7.7%
중 61
 
5.5%
가 26
 
2.3%
화 22
 
2.0%
Other values (86) 317
28.3%

구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
최초
68 
최고
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row최초
2nd row최고
3rd row최초
4th row최초
5th row최초

Common Values

ValueCountFrequency (%)
최초 68
65.4%
최고 36
34.6%

Length

2024-03-18T12:04:40.111200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:04:40.187690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
최초 68
65.4%
최고 36
34.6%

시대
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
조선 시대
55 
대한민국
17 
조선 이전
12 
일제 강점기
9 
일제 강점기(임시정부)
8 

Length

Max length12
Median length5
Mean length5.4326923
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조선 이전
2nd row조선 이전
3rd row조선 이전
4th row조선 이전
5th row조선 이전

Common Values

ValueCountFrequency (%)
조선 시대 55
52.9%
대한민국 17
 
16.3%
조선 이전 12
 
11.5%
일제 강점기 9
 
8.7%
일제 강점기(임시정부) 8
 
7.7%
해방공간 3
 
2.9%

Length

2024-03-18T12:04:40.286002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:04:40.403772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조선 67
35.6%
시대 55
29.3%
대한민국 17
 
9.0%
일제 17
 
9.0%
이전 12
 
6.4%
강점기 9
 
4.8%
강점기(임시정부 8
 
4.3%
해방공간 3
 
1.6%

발생년도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct60
Distinct (%)61.2%
Missing6
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean1829.6939
Minimum372
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-18T12:04:40.510782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum372
5-th percentile1259.5
Q11885.25
median1901
Q31920
95-th percentile2003
Maximum2013
Range1641
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation275.4627
Coefficient of variation (CV)0.15055125
Kurtosis15.33804
Mean1829.6939
Median Absolute Deviation (MAD)17
Skewness-3.7151075
Sum179310
Variance75879.699
MonotonicityNot monotonic
2024-03-18T12:04:40.628813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1899 4
 
3.8%
1903 4
 
3.8%
1884 4
 
3.8%
1883 4
 
3.8%
1920 3
 
2.9%
1905 3
 
2.9%
1950 3
 
2.9%
2003 3
 
2.9%
1888 2
 
1.9%
1907 2
 
1.9%
Other values (50) 66
63.5%
(Missing) 6
 
5.8%
ValueCountFrequency (%)
372 1
1.0%
381 1
1.0%
1232 2
1.9%
1234 1
1.0%
1264 2
1.9%
1289 1
1.0%
1389 1
1.0%
1392 1
1.0%
1768 1
1.0%
1782 1
1.0%
ValueCountFrequency (%)
2013 1
 
1.0%
2012 1
 
1.0%
2009 1
 
1.0%
2003 3
2.9%
2001 1
 
1.0%
1968 1
 
1.0%
1963 1
 
1.0%
1962 1
 
1.0%
1957 1
 
1.0%
1956 2
1.9%

지역
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size964.0 B
중구
57 
강화군
13 
연수구
8 
동구
8 
남구
7 
Other values (5)
11 

Length

Max length4
Median length2
Mean length2.3076923
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row강화군
2nd row남구
3rd row연수구
4th row강화군
5th row강화군

Common Values

ValueCountFrequency (%)
중구 57
54.8%
강화군 13
 
12.5%
연수구 8
 
7.7%
동구 8
 
7.7%
남구 7
 
6.7%
해당없음 3
 
2.9%
서구 3
 
2.9%
옹진군 2
 
1.9%
부평구 2
 
1.9%
남동구 1
 
1.0%

Length

2024-03-18T12:04:40.800096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:04:40.928045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 57
54.8%
강화군 13
 
12.5%
연수구 8
 
7.7%
동구 8
 
7.7%
남구 7
 
6.7%
해당없음 3
 
2.9%
서구 3
 
2.9%
옹진군 2
 
1.9%
부평구 2
 
1.9%
남동구 1
 
1.0%

스마트GIS 링크
Text

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-03-18T12:04:41.218248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length99
Mean length99
Min length99

Characters and Unicode

Total characters10296
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)100.0%

Sample

1st rowhttp://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4787f
2nd rowhttp://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4788f
3rd rowhttp://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4789f
4th rowhttp://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4790f
5th rowhttp://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4791f
ValueCountFrequency (%)
http://icloud.incheon.go.kr/arcgis/apps/mapseries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4787f 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/apps/mapseries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4788f 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/apps/mapseries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4863f 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/apps/mapseries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4862f 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/apps/mapseries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4861f 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/apps/mapseries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4860f 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/apps/mapseries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4859f 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/apps/mapseries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4858f 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/apps/mapseries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4857f 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/apps/mapseries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4856f 1
 
1.0%
Other values (94) 94
90.4%
2024-03-18T12:04:41.597366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
c 728
 
7.1%
p 624
 
6.1%
/ 624
 
6.1%
i 624
 
6.1%
a 624
 
6.1%
d 520
 
5.1%
0 437
 
4.2%
. 416
 
4.0%
b 416
 
4.0%
e 416
 
4.0%
Other values (27) 4867
47.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6864
66.7%
Decimal Number 1872
 
18.2%
Other Punctuation 1248
 
12.1%
Uppercase Letter 208
 
2.0%
Math Symbol 104
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 728
 
10.6%
p 624
 
9.1%
i 624
 
9.1%
a 624
 
9.1%
d 520
 
7.6%
b 416
 
6.1%
e 416
 
6.1%
h 312
 
4.5%
r 312
 
4.5%
t 312
 
4.5%
Other values (10) 1976
28.8%
Decimal Number
ValueCountFrequency (%)
0 437
23.3%
4 332
17.7%
5 332
17.7%
8 323
17.3%
6 228
12.2%
3 124
 
6.6%
7 34
 
1.8%
9 22
 
1.2%
1 20
 
1.1%
2 20
 
1.1%
Other Punctuation
ValueCountFrequency (%)
/ 624
50.0%
. 416
33.3%
: 104
 
8.3%
? 104
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
S 104
50.0%
M 104
50.0%
Math Symbol
ValueCountFrequency (%)
= 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7072
68.7%
Common 3224
31.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
c 728
 
10.3%
p 624
 
8.8%
i 624
 
8.8%
a 624
 
8.8%
d 520
 
7.4%
b 416
 
5.9%
e 416
 
5.9%
h 312
 
4.4%
r 312
 
4.4%
t 312
 
4.4%
Other values (12) 2184
30.9%
Common
ValueCountFrequency (%)
/ 624
19.4%
0 437
13.6%
. 416
12.9%
4 332
10.3%
5 332
10.3%
8 323
10.0%
6 228
 
7.1%
3 124
 
3.8%
: 104
 
3.2%
= 104
 
3.2%
Other values (5) 200
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
c 728
 
7.1%
p 624
 
6.1%
/ 624
 
6.1%
i 624
 
6.1%
a 624
 
6.1%
d 520
 
5.1%
0 437
 
4.2%
. 416
 
4.0%
b 416
 
4.0%
e 416
 
4.0%
Other values (27) 4867
47.3%

사진 링크
Text

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-03-18T12:04:41.812696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length99
Mean length99
Min length99

Characters and Unicode

Total characters10296
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)97.1%

Sample

1st rowhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/2d12d0fb337c4d08905fbfb64814925b/data
2nd rowhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/e99606e9bb53487e80916c6bb1a248ca/data
3rd rowhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/67fff4bbdcac4e07b3e3a18867f64d10/data
4th rowhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/7f0b4c2e26564d90aed072d5649d9baa/data
5th rowhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/e99f33ad03a14ce58007dbddb701e4bf/data
ValueCountFrequency (%)
http://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/1edd68fc029240dc85454f43149e82bb/data 3
 
2.9%
http://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/392f0f9ea2a4403a8972edd5e5fabfae/data 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/e765ebe2849a46dd92dc5191f798b1ae/data 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/3ed5456fbbb642aa903a8a2c6f6b2f4b/data 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/51a51a42ef00401a93123573b7cd7563/data 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/3bd5befab4d9495caf6ba79617b75fd4/data 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/8f687241599d40afb7129ded69b77bc7/data 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/28727cec5edb42a185f243829b391855/data 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/b68c9317140c4c1492a8e98004451133/data 1
 
1.0%
http://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/a43d15c56af34293bb1014357998011e/data 1
 
1.0%
Other values (92) 92
88.5%
2024-03-18T12:04:42.181219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 936
 
9.1%
t 728
 
7.1%
a 623
 
6.1%
e 614
 
6.0%
c 602
 
5.8%
n 520
 
5.1%
i 520
 
5.1%
d 418
 
4.1%
r 416
 
4.0%
s 416
 
4.0%
Other values (22) 4503
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6860
66.6%
Decimal Number 2084
 
20.2%
Other Punctuation 1352
 
13.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 728
10.6%
a 623
 
9.1%
e 614
 
9.0%
c 602
 
8.8%
n 520
 
7.6%
i 520
 
7.6%
d 418
 
6.1%
r 416
 
6.1%
s 416
 
6.1%
o 416
 
6.1%
Other values (9) 1587
23.1%
Decimal Number
ValueCountFrequency (%)
4 292
14.0%
9 226
10.8%
0 218
10.5%
8 215
10.3%
7 214
10.3%
3 191
9.2%
6 189
9.1%
2 188
9.0%
5 181
8.7%
1 170
8.2%
Other Punctuation
ValueCountFrequency (%)
/ 936
69.2%
. 312
 
23.1%
: 104
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 6860
66.6%
Common 3436
33.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 728
10.6%
a 623
 
9.1%
e 614
 
9.0%
c 602
 
8.8%
n 520
 
7.6%
i 520
 
7.6%
d 418
 
6.1%
r 416
 
6.1%
s 416
 
6.1%
o 416
 
6.1%
Other values (9) 1587
23.1%
Common
ValueCountFrequency (%)
/ 936
27.2%
. 312
 
9.1%
4 292
 
8.5%
9 226
 
6.6%
0 218
 
6.3%
8 215
 
6.3%
7 214
 
6.2%
3 191
 
5.6%
6 189
 
5.5%
2 188
 
5.5%
Other values (3) 455
13.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 936
 
9.1%
t 728
 
7.1%
a 623
 
6.1%
e 614
 
6.0%
c 602
 
5.8%
n 520
 
5.1%
i 520
 
5.1%
d 418
 
4.1%
r 416
 
4.0%
s 416
 
4.0%
Other values (22) 4503
43.7%

X좌표
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162697.68
Minimum-6464.2634
Maximum175102.76
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)1.0%
Memory size1.0 KiB
2024-03-18T12:04:42.301612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6464.2634
5-th percentile149856.66
Q1165832.42
median166707.04
Q3167533.95
95-th percentile171715.13
Maximum175102.76
Range181567.02
Interquartile range (IQR)1701.5238

Descriptive statistics

Standard deviation19473.168
Coefficient of variation (CV)0.11968928
Kurtosis58.137303
Mean162697.68
Median Absolute Deviation (MAD)865.03775
Skewness-7.1301245
Sum16920558
Variance3.7920428 × 108
MonotonicityNot monotonic
2024-03-18T12:04:42.424616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150373.8326 1
 
1.0%
166144.3294 1
 
1.0%
164806.7229 1
 
1.0%
167979.842 1
 
1.0%
167476.922 1
 
1.0%
167966.0289 1
 
1.0%
164797.5177 1
 
1.0%
169688.1269 1
 
1.0%
166079.6164 1
 
1.0%
166281.4778 1
 
1.0%
Other values (94) 94
90.4%
ValueCountFrequency (%)
-6464.2634 1
1.0%
85257.669 1
1.0%
138080.3794 1
1.0%
149648.8734 1
1.0%
149657.2248 1
1.0%
149765.3928 1
1.0%
150373.8326 1
1.0%
151253.1173 1
1.0%
151555.4922 1
1.0%
153915.2695 1
1.0%
ValueCountFrequency (%)
175102.7566 1
1.0%
174784.1593 1
1.0%
174735.3597 1
1.0%
172666.6415 1
1.0%
171985.1685 1
1.0%
171721.047 1
1.0%
171681.5945 1
1.0%
171104.9325 1
1.0%
170190.4146 1
1.0%
169688.1269 1
1.0%

Y좌표
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean544896.61
Minimum528900.43
Maximum594683.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-18T12:04:42.552937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum528900.43
5-th percentile535211.69
Q1541286.56
median541652.15
Q3542254.53
95-th percentile571882.24
Maximum594683.88
Range65783.454
Interquartile range (IQR)967.97397

Descriptive statistics

Standard deviation10858.81
Coefficient of variation (CV)0.019928203
Kurtosis5.1364298
Mean544896.61
Median Absolute Deviation (MAD)492.87655
Skewness2.2204384
Sum56669248
Variance1.1791376 × 108
MonotonicityNot monotonic
2024-03-18T12:04:42.666473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
574981.0105 1
 
1.0%
541754.5982 1
 
1.0%
542132.6702 1
 
1.0%
540773.2506 1
 
1.0%
541899.6671 1
 
1.0%
541610.5997 1
 
1.0%
540852.1713 1
 
1.0%
538990.4625 1
 
1.0%
541640.2026 1
 
1.0%
542249.2622 1
 
1.0%
Other values (94) 94
90.4%
ValueCountFrequency (%)
528900.4286 1
1.0%
532432.822 1
1.0%
532817.0948 1
1.0%
533014.0134 1
1.0%
533093.2206 1
1.0%
535134.8748 1
1.0%
535646.9812 1
1.0%
535981.317 1
1.0%
536224.08 1
1.0%
536804.1525 1
1.0%
ValueCountFrequency (%)
594683.8828 1
1.0%
575103.3798 1
1.0%
574981.0105 1
1.0%
572515.8292 1
1.0%
572233.5134 1
1.0%
572094.2949 1
1.0%
570680.592 1
1.0%
568917.0167 1
1.0%
566360.8962 1
1.0%
563782.5286 1
1.0%

Interactions

2024-03-18T12:04:37.454241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:36.571791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:36.847063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:37.143029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:37.521237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:36.631118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:36.917152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:37.215312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:37.590466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:36.698005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:36.990164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:37.297467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:37.667852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:36.774583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:37.068536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:37.377107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:04:42.752942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주소구분시대발생년도지역X좌표Y좌표
연번1.0000.6400.1850.8770.8020.7160.5430.560
주소0.6401.0000.5100.9911.0001.0001.0001.000
구분0.1850.5101.0000.0000.2600.3580.2220.000
시대0.8770.9910.0001.0000.5850.6000.4580.607
발생년도0.8021.0000.2600.5851.0000.8090.5730.764
지역0.7161.0000.3580.6000.8091.0000.8680.796
X좌표0.5431.0000.2220.4580.5730.8681.0000.930
Y좌표0.5601.0000.0000.6070.7640.7960.9301.000
2024-03-18T12:04:42.866337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시대지역구분
시대1.0000.3610.000
지역0.3611.0000.262
구분0.0000.2621.000
2024-03-18T12:04:42.983186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발생년도X좌표Y좌표구분시대지역
연번1.0000.9820.336-0.2110.1330.6960.292
발생년도0.9821.0000.321-0.1860.3190.4450.453
X좌표0.3360.3211.000-0.4730.1710.2480.595
Y좌표-0.211-0.186-0.4731.0000.0000.3350.507
구분0.1330.3190.1710.0001.0000.0000.262
시대0.6960.4450.2480.3350.0001.0000.361
지역0.2920.4530.5950.5070.2620.3611.000

Missing values

2024-03-18T12:04:37.809414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:04:37.946913image/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.
2024-03-18T12:04:38.039667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번콘텐츠명주소구분시대발생년도지역스마트GIS 링크사진 링크X좌표Y좌표
01강화 부근리 지석묘인천광역시 강화군 하점면 부근리 317최초조선 이전<NA>강화군http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4787fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/2d12d0fb337c4d08905fbfb64814925b/data150373.8326574981.0105
12인천의 발상지 문학산성인천광역시 남구 문학동 산27-1최고조선 이전<NA>남구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4788fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/e99606e9bb53487e80916c6bb1a248ca/data171681.5945537000.3512
23첫 번째 국제항 능허대(凌虛臺)인천광역시 연수구 옥련동 194-54최초조선 이전372연수구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4789fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/67fff4bbdcac4e07b3e3a18867f64d10/data168423.1218535981.317
34가장 오래된 절 전등사인천광역시 강화군 길상면 온수리 635최초조선 이전381강화군http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4790fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/7f0b4c2e26564d90aed072d5649d9baa/data154534.2014559384.3503
45남한 유일의 단군 관련 공간 참성단인천광역시 강화군 화도면 문산리 산42-1최초조선 이전1264강화군http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4791fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/e99f33ad03a14ce58007dbddb701e4bf/data149648.8734557486.9643
56개천대제와 성화 채화 마니산인천광역시 강화군 화도면 문산리최초조선 이전1264강화군http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4792fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/bb58ab6424af4130a588efc8a7490395/data149657.2248557480.3029
6713세기 간척의 시대를 연 강화도인천광역시 강화군 불은면 삼성리최초조선 이전<NA>강화군http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4793fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/7ee91b2b37bd4cda9992a5b7dfc99994/data151253.1173566360.8962
78왕도의 공간 유일의 7대 어향(御鄕)인천광역시 연수구 연수동 647-0최고조선 이전1389연수구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4794fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/9bf5cd228aba4e9093706e9aa1ba8fa2/data172666.6415535134.8748
89최초의 금속활자로 찍은 상정고금예문인천광역시 강화군 길상면 길직리 산32-2최초조선 이전1234강화군http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4795fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/2b9887eff3314636938b6f756b10a623/data154524.6546563297.4625
910가장 오래된 대장경 팔만대장경인천광역시 강화군 선원면 지산리 692-5최초조선 이전1232강화군http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4796fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/f9c8c21279ae4e72b5f7ffb358b8f707/data155240.2254568917.0167
연번콘텐츠명주소구분시대발생년도지역스마트GIS 링크사진 링크X좌표Y좌표
9493굴다리에서 시작된 지하도상가인천광역시 중구 인현동 동인천역앞최초대한민국1963중구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4881fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/bf97287f04ab4c0da4e4c1a53c3edc3c/data167359.2721541889.3681
9594고속도로의 효시 경인고속도로인천광역시 서구 가정동 341-15최초대한민국1968서구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4882fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/53b89ce0094846b6b8eb6e4644d7d5c8/data171985.1685547424.6799
9695매콤 달콤한 쫄면인천광역시 중구 경동 96-11최고대한민국<NA>중구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4883fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/333fb33fc6414e38901c9ae530ae0274/data167610.2092541559.6552
9796하늘로 세계로 인천국제공항인천광역시 중구 공항로 271 인천국제공항역최고대한민국2001중구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4884fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/0be12a898b5044abb5903639ef26c6cd/data151555.4922538811.505
9897인천 또 하나의 미래 경제자유구역-송도인천광역시 연수구 송도동 22-26최초대한민국2003연수구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4885fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/c88375bca70045c999209cbb360fa9c1/data168525.4431532817.0948
9997인천 또 하나의 미래 경제자유구역-영종인천광역시 중구 운서동 2787-1최초대한민국2003중구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4886fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/01757985e7e64a3ba0f4d58726116ad1/data154549.3074543990.8531
10097인천 또 하나의 미래 경제자유구역-청라인천광역시 서구 경서동 947-2최초대한민국2003서구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4887fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/c9108bbbb74e4ba098da6db7f2791435/data167672.3891548786.2488
10198동북아 경제 인프라 인천대교인천광역시 연수구 송도동 연수JC최고대한민국2009연수구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4888fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/8da4d76f744c43f68067a552434d345b/data160767.7161535646.9812
10299최초로 유치한 국제기구 녹색기후기금인천광역시 연수구 송도동 24-4최초대한민국2013연수구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4889fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/9c35f3817cef4c41a34f63b84e62ea8e/data167594.4435533093.2206
103100하늘로 하늘로 동북아무역타워인천광역시 연수구 송도동 54-0최고대한민국2012연수구http://icloud.incheon.go.kr/arcgis/apps/MapSeries/index.html?appid=b8d56cb0c6b54cc580d0fb0a34a4890fhttp://icloud.incheon.go.kr/arcgis/sharing/rest/content/items/71d4c17260da4012aa3bdc8f18b546ba/data168499.4655532432.822