Overview

Dataset statistics

Number of variables14
Number of observations3070
Missing cells257
Missing cells (%)0.6%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory344.9 KiB
Average record size in memory115.0 B

Variable types

Numeric2
Categorical3
Text9

Dataset

Description국립자연휴양림관리소의 휴양림명, 객실내외구분, 사업년도,사업내역, 상품명, 사업명, 공종, 계약업체, 계약일자, 착공일자, 준공일자 등의 공사 이력 정보를 제공합니다.
Author산림청 국립자연휴양림관리소
URLhttps://www.data.go.kr/data/15113553/fileData.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
내외구분코드 is highly overall correlated with 휴양림명 and 1 other fieldsHigh correlation
내외구분명 is highly overall correlated with 휴양림명 and 1 other fieldsHigh correlation
휴양림아이디 is highly overall correlated with 휴양림명High correlation
휴양림명 is highly overall correlated with 휴양림아이디 and 2 other fieldsHigh correlation
상품명 has 257 (8.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:00:35.119958
Analysis finished2023-12-12 16:00:37.362526
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

휴양림아이디
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.76482
Minimum101
Maximum302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2023-12-13T01:00:37.426493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1103
median182
Q3196
95-th percentile300
Maximum302
Range201
Interquartile range (IQR)93

Descriptive statistics

Standard deviation61.458302
Coefficient of variation (CV)0.36416536
Kurtosis-0.34140745
Mean168.76482
Median Absolute Deviation (MAD)41
Skewness0.62561898
Sum518108
Variance3777.1229
MonotonicityNot monotonic
2023-12-13T01:00:37.560211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
103 371
 
12.1%
300 293
 
9.5%
101 256
 
8.3%
102 243
 
7.9%
141 235
 
7.7%
190 147
 
4.8%
182 146
 
4.8%
187 119
 
3.9%
220 112
 
3.6%
201 109
 
3.6%
Other values (32) 1039
33.8%
ValueCountFrequency (%)
101 256
8.3%
102 243
7.9%
103 371
12.1%
104 65
 
2.1%
105 35
 
1.1%
106 9
 
0.3%
107 14
 
0.5%
108 43
 
1.4%
109 4
 
0.1%
110 33
 
1.1%
ValueCountFrequency (%)
302 2
 
0.1%
301 16
 
0.5%
300 293
9.5%
245 29
 
0.9%
243 5
 
0.2%
242 26
 
0.8%
224 2
 
0.1%
223 4
 
0.1%
222 6
 
0.2%
220 112
 
3.6%

휴양림명
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
산음 자연휴양림
371 
상당산성 자연휴양림
293 
유명산 자연휴양림
256 
용대 자연휴양림
243 
덕유산 자연휴양림
235 
Other values (37)
1672 

Length

Max length10
Median length9
Mean length8.862215
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유명산 자연휴양림
2nd row유명산 자연휴양림
3rd row유명산 자연휴양림
4th row유명산 자연휴양림
5th row유명산 자연휴양림

Common Values

ValueCountFrequency (%)
산음 자연휴양림 371
 
12.1%
상당산성 자연휴양림 293
 
9.5%
유명산 자연휴양림 256
 
8.3%
용대 자연휴양림 243
 
7.9%
덕유산 자연휴양림 235
 
7.7%
지리산 자연휴양림 147
 
4.8%
칠보산 자연휴양림 146
 
4.8%
희리산 자연휴양림 119
 
3.9%
용현 자연휴양림 112
 
3.6%
진도 자연휴양림 109
 
3.6%
Other values (32) 1039
33.8%

Length

2023-12-13T01:00:37.722368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자연휴양림 3050
49.8%
산음 371
 
6.1%
상당산성 293
 
4.8%
유명산 256
 
4.2%
용대 243
 
4.0%
덕유산 235
 
3.8%
지리산 147
 
2.4%
칠보산 146
 
2.4%
희리산 119
 
1.9%
용현 112
 
1.8%
Other values (34) 1152
 
18.8%

내외구분코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
1
1625 
2
1445 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 1625
52.9%
2 1445
47.1%

Length

2023-12-13T01:00:37.837259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:37.924634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1625
52.9%
2 1445
47.1%

내외구분명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
객실내
1625 
객실외
1445 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
객실내 1625
52.9%
객실외 1445
47.1%

Length

2023-12-13T01:00:38.030217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:00:38.123577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
객실내 1625
52.9%
객실외 1445
47.1%

사업년도
Real number (ℝ)

Distinct25
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.927
Minimum1995
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2023-12-13T01:00:38.222945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1995
5-th percentile2014
Q12017
median2020
Q32021
95-th percentile2022
Maximum2023
Range28
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8463221
Coefficient of variation (CV)0.0014098192
Kurtosis9.3171545
Mean2018.927
Median Absolute Deviation (MAD)2
Skewness-1.8974688
Sum6198106
Variance8.1015497
MonotonicityNot monotonic
2023-12-13T01:00:38.340353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2022 569
18.5%
2021 517
16.8%
2020 447
14.6%
2017 373
12.1%
2019 363
11.8%
2018 283
9.2%
2015 193
 
6.3%
2016 138
 
4.5%
2014 79
 
2.6%
2013 68
 
2.2%
Other values (15) 40
 
1.3%
ValueCountFrequency (%)
1995 3
0.1%
1997 1
 
< 0.1%
1998 1
 
< 0.1%
1999 1
 
< 0.1%
2000 1
 
< 0.1%
2001 1
 
< 0.1%
2002 2
0.1%
2005 2
0.1%
2006 1
 
< 0.1%
2007 2
0.1%
ValueCountFrequency (%)
2023 8
 
0.3%
2022 569
18.5%
2021 517
16.8%
2020 447
14.6%
2019 363
11.8%
2018 283
9.2%
2017 373
12.1%
2016 138
 
4.5%
2015 193
 
6.3%
2014 79
 
2.6%

사업내역
Text

Distinct1676
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2023-12-13T01:00:38.664662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length39
Mean length17.669381
Min length2

Characters and Unicode

Total characters54245
Distinct characters493
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1530 ?
Unique (%)49.8%

Sample

1st row항산화왁스 도색
2nd row하이브리드 가로등 설치사업
3rd row관정모터 교체
4th row통신케이블 매설공사
5th row전기용량 증설
ValueCountFrequency (%)
및 408
 
3.7%
교체 317
 
2.9%
설치 314
 
2.9%
공사 269
 
2.5%
데이터 252
 
2.3%
미집계 252
 
2.3%
숲속의집 245
 
2.2%
상당산성자연휴양림 193
 
1.8%
휴양관 161
 
1.5%
리모델링 160
 
1.5%
Other values (1884) 8386
76.5%
2023-12-13T01:00:39.630363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8224
 
15.2%
사 1868
 
3.4%
공 1362
 
2.5%
설 1180
 
2.2%
수 1007
 
1.9%
보 952
 
1.8%
( 948
 
1.7%
) 946
 
1.7%
양 946
 
1.7%
휴 944
 
1.7%
Other values (483) 35868
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40632
74.9%
Space Separator 8224
 
15.2%
Decimal Number 2370
 
4.4%
Open Punctuation 951
 
1.8%
Close Punctuation 948
 
1.7%
Other Punctuation 463
 
0.9%
Uppercase Letter 309
 
0.6%
Control 104
 
0.2%
Lowercase Letter 88
 
0.2%
Dash Punctuation 70
 
0.1%
Other values (4) 86
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1868
 
4.6%
공 1362
 
3.4%
설 1180
 
2.9%
수 1007
 
2.5%
보 952
 
2.3%
양 946
 
2.3%
휴 944
 
2.3%
관 863
 
2.1%
림 813
 
2.0%
산 783
 
1.9%
Other values (430) 29914
73.6%
Uppercase Letter
ValueCountFrequency (%)
C 69
22.3%
D 46
14.9%
L 40
12.9%
E 39
12.6%
T 34
11.0%
V 32
10.4%
H 9
 
2.9%
S 6
 
1.9%
W 6
 
1.9%
A 6
 
1.9%
Other values (7) 22
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 835
35.2%
1 601
25.4%
0 450
19.0%
9 86
 
3.6%
8 84
 
3.5%
6 74
 
3.1%
4 71
 
3.0%
3 58
 
2.4%
5 56
 
2.4%
7 55
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
w 23
26.1%
k 23
26.1%
c 17
19.3%
m 10
11.4%
t 7
 
8.0%
v 7
 
8.0%
s 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 415
89.6%
. 25
 
5.4%
: 16
 
3.5%
/ 6
 
1.3%
* 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
→ 24
66.7%
> 11
30.6%
~ 1
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 948
99.7%
[ 3
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 946
99.8%
] 2
 
0.2%
Other Symbol
ValueCountFrequency (%)
㎡ 13
76.5%
㎥ 4
 
23.5%
Space Separator
ValueCountFrequency (%)
8224
100.0%
Control
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 32
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40632
74.9%
Common 13216
 
24.4%
Latin 397
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1868
 
4.6%
공 1362
 
3.4%
설 1180
 
2.9%
수 1007
 
2.5%
보 952
 
2.3%
양 946
 
2.3%
휴 944
 
2.3%
관 863
 
2.1%
림 813
 
2.0%
산 783
 
1.9%
Other values (430) 29914
73.6%
Common
ValueCountFrequency (%)
8224
62.2%
( 948
 
7.2%
) 946
 
7.2%
2 835
 
6.3%
1 601
 
4.5%
0 450
 
3.4%
, 415
 
3.1%
104
 
0.8%
9 86
 
0.7%
8 84
 
0.6%
Other values (19) 523
 
4.0%
Latin
ValueCountFrequency (%)
C 69
17.4%
D 46
11.6%
L 40
10.1%
E 39
9.8%
T 34
8.6%
V 32
8.1%
w 23
 
5.8%
k 23
 
5.8%
c 17
 
4.3%
m 10
 
2.5%
Other values (14) 64
16.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40632
74.9%
ASCII 13571
 
25.0%
Arrows 24
 
< 0.1%
CJK Compat 17
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8224
60.6%
( 948
 
7.0%
) 946
 
7.0%
2 835
 
6.2%
1 601
 
4.4%
0 450
 
3.3%
, 415
 
3.1%
104
 
0.8%
9 86
 
0.6%
8 84
 
0.6%
Other values (39) 878
 
6.5%
Hangul
ValueCountFrequency (%)
사 1868
 
4.6%
공 1362
 
3.4%
설 1180
 
2.9%
수 1007
 
2.5%
보 952
 
2.3%
양 946
 
2.3%
휴 944
 
2.3%
관 863
 
2.1%
림 813
 
2.0%
산 783
 
1.9%
Other values (430) 29914
73.6%
Arrows
ValueCountFrequency (%)
→ 24
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 13
76.5%
㎥ 4
 
23.5%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

상품아이디
Text

Distinct387
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2023-12-13T01:00:39.931150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length10.027687
Min length3

Characters and Unicode

Total characters30785
Distinct characters18
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)4.1%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
해당없음 1533
49.9%
etc 257
 
8.4%
g03000100100600008 9
 
0.3%
g03000100100600007 9
 
0.3%
g03000100100600006 9
 
0.3%
g03000100200300069 9
 
0.3%
g01030100100700174 9
 
0.3%
g01020100200300063 8
 
0.3%
g03000100200400074 8
 
0.3%
g03000100200400073 8
 
0.3%
Other values (377) 1211
39.4%
2023-12-13T01:00:40.372643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12632
41.0%
1 3825
 
12.4%
3 1588
 
5.2%
당 1533
 
5.0%
해 1533
 
5.0%
음 1533
 
5.0%
없 1533
 
5.0%
2 1378
 
4.5%
G 1280
 
4.2%
4 873
 
2.8%
Other values (8) 3077
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22602
73.4%
Other Letter 6132
 
19.9%
Uppercase Letter 2051
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12632
55.9%
1 3825
 
16.9%
3 1588
 
7.0%
2 1378
 
6.1%
4 873
 
3.9%
8 762
 
3.4%
7 462
 
2.0%
9 410
 
1.8%
5 373
 
1.7%
6 299
 
1.3%
Other Letter
ValueCountFrequency (%)
당 1533
25.0%
해 1533
25.0%
음 1533
25.0%
없 1533
25.0%
Uppercase Letter
ValueCountFrequency (%)
G 1280
62.4%
T 257
 
12.5%
C 257
 
12.5%
E 257
 
12.5%

Most occurring scripts

ValueCountFrequency (%)
Common 22602
73.4%
Hangul 6132
 
19.9%
Latin 2051
 
6.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12632
55.9%
1 3825
 
16.9%
3 1588
 
7.0%
2 1378
 
6.1%
4 873
 
3.9%
8 762
 
3.4%
7 462
 
2.0%
9 410
 
1.8%
5 373
 
1.7%
6 299
 
1.3%
Hangul
ValueCountFrequency (%)
당 1533
25.0%
해 1533
25.0%
음 1533
25.0%
없 1533
25.0%
Latin
ValueCountFrequency (%)
G 1280
62.4%
T 257
 
12.5%
C 257
 
12.5%
E 257
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24653
80.1%
Hangul 6132
 
19.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12632
51.2%
1 3825
 
15.5%
3 1588
 
6.4%
2 1378
 
5.6%
G 1280
 
5.2%
4 873
 
3.5%
8 762
 
3.1%
7 462
 
1.9%
9 410
 
1.7%
5 373
 
1.5%
Other values (4) 1070
 
4.3%
Hangul
ValueCountFrequency (%)
당 1533
25.0%
해 1533
25.0%
음 1533
25.0%
없 1533
25.0%

상품명
Text

MISSING 

Distinct370
Distinct (%)13.2%
Missing257
Missing (%)8.4%
Memory size24.1 KiB
2023-12-13T01:00:40.645226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length4
Mean length5.7465339
Min length2

Characters and Unicode

Total characters16165
Distinct characters283
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)4.3%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
해당없음 1533
52.2%
반려견 36
 
1.2%
상수리나무 13
 
0.4%
신갈나무 13
 
0.4%
갈참나무 13
 
0.4%
제비꽃 12
 
0.4%
하단2관 11
 
0.4%
금낭화 10
 
0.3%
초롱꽃 10
 
0.3%
벚나무 10
 
0.3%
Other values (368) 1277
43.5%
2023-12-13T01:00:41.124016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 1542
 
9.5%
해 1539
 
9.5%
없 1533
 
9.5%
음 1533
 
9.5%
반 598
 
3.7%
) 495
 
3.1%
( 495
 
3.1%
동 409
 
2.5%
나 395
 
2.4%
2 369
 
2.3%
Other values (273) 7257
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13262
82.0%
Decimal Number 1233
 
7.6%
Close Punctuation 629
 
3.9%
Open Punctuation 629
 
3.9%
Connector Punctuation 221
 
1.4%
Space Separator 128
 
0.8%
Dash Punctuation 54
 
0.3%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 1542
 
11.6%
해 1539
 
11.6%
없 1533
 
11.6%
음 1533
 
11.6%
반 598
 
4.5%
동 409
 
3.1%
나 395
 
3.0%
무 367
 
2.8%
려 304
 
2.3%
층 297
 
2.2%
Other values (254) 4745
35.8%
Decimal Number
ValueCountFrequency (%)
2 369
29.9%
1 337
27.3%
0 193
15.7%
3 143
 
11.6%
5 79
 
6.4%
7 40
 
3.2%
6 37
 
3.0%
8 22
 
1.8%
9 10
 
0.8%
4 3
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 495
78.7%
] 134
 
21.3%
Open Punctuation
ValueCountFrequency (%)
( 495
78.7%
[ 134
 
21.3%
Uppercase Letter
ValueCountFrequency (%)
A 5
55.6%
B 4
44.4%
Connector Punctuation
ValueCountFrequency (%)
_ 221
100.0%
Space Separator
ValueCountFrequency (%)
128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13262
82.0%
Common 2894
 
17.9%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 1542
 
11.6%
해 1539
 
11.6%
없 1533
 
11.6%
음 1533
 
11.6%
반 598
 
4.5%
동 409
 
3.1%
나 395
 
3.0%
무 367
 
2.8%
려 304
 
2.3%
층 297
 
2.2%
Other values (254) 4745
35.8%
Common
ValueCountFrequency (%)
) 495
17.1%
( 495
17.1%
2 369
12.8%
1 337
11.6%
_ 221
7.6%
0 193
 
6.7%
3 143
 
4.9%
[ 134
 
4.6%
] 134
 
4.6%
128
 
4.4%
Other values (7) 245
8.5%
Latin
ValueCountFrequency (%)
A 5
55.6%
B 4
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13262
82.0%
ASCII 2903
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 1542
 
11.6%
해 1539
 
11.6%
없 1533
 
11.6%
음 1533
 
11.6%
반 598
 
4.5%
동 409
 
3.1%
나 395
 
3.0%
무 367
 
2.8%
려 304
 
2.3%
층 297
 
2.2%
Other values (254) 4745
35.8%
ASCII
ValueCountFrequency (%)
) 495
17.1%
( 495
17.1%
2 369
12.7%
1 337
11.6%
_ 221
7.6%
0 193
 
6.6%
3 143
 
4.9%
[ 134
 
4.6%
] 134
 
4.6%
128
 
4.4%
Other values (9) 254
8.7%

사업명
Text

Distinct1847
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2023-12-13T01:00:41.420709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length37
Mean length26.163844
Min length4

Characters and Unicode

Total characters80323
Distinct characters451
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1695 ?
Unique (%)55.2%

Sample

1st row2013년 유명산자연휴양림 유지보수사업(항산화왁스 도색)
2nd row2013년 유명산자연휴양림 하이브리드 가로등 설치사업
3rd row2013년 국립유명산자연흉야림 유지보수사업(관정모터 교체)
4th row2013년 유명산자연휴양림 유지보수사업(통신케이블 매설공사)
5th row2013년 유명산자연휴양림 전기용량 증설 공사
ValueCountFrequency (%)
및 370
 
2.7%
산림문화휴양관 335
 
2.5%
2022년 314
 
2.3%
2021년 314
 
2.3%
공사 283
 
2.1%
숲속의집 280
 
2.1%
2017년 276
 
2.0%
설치 273
 
2.0%
산음자연휴양림 241
 
1.8%
2019년 240
 
1.8%
Other values (1738) 10631
78.4%
2023-12-13T01:00:41.935864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10827
 
13.5%
2 3107
 
3.9%
사 3002
 
3.7%
양 2562
 
3.2%
휴 2559
 
3.2%
림 2478
 
3.1%
0 2047
 
2.5%
공 2038
 
2.5%
자 1986
 
2.5%
산 1986
 
2.5%
Other values (441) 47731
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57867
72.0%
Space Separator 10827
 
13.5%
Decimal Number 7882
 
9.8%
Open Punctuation 1550
 
1.9%
Close Punctuation 1544
 
1.9%
Uppercase Letter 274
 
0.3%
Other Punctuation 173
 
0.2%
Control 108
 
0.1%
Dash Punctuation 66
 
0.1%
Lowercase Letter 24
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 3002
 
5.2%
양 2562
 
4.4%
휴 2559
 
4.4%
림 2478
 
4.3%
공 2038
 
3.5%
자 1986
 
3.4%
산 1986
 
3.4%
연 1935
 
3.3%
년 1896
 
3.3%
보 1717
 
3.0%
Other values (399) 35708
61.7%
Uppercase Letter
ValueCountFrequency (%)
C 76
27.7%
L 37
13.5%
D 36
13.1%
E 36
13.1%
T 35
12.8%
V 35
12.8%
A 6
 
2.2%
I 4
 
1.5%
S 3
 
1.1%
P 2
 
0.7%
Other values (4) 4
 
1.5%
Decimal Number
ValueCountFrequency (%)
2 3107
39.4%
0 2047
26.0%
1 1533
19.4%
7 284
 
3.6%
9 267
 
3.4%
8 211
 
2.7%
5 172
 
2.2%
3 98
 
1.2%
6 87
 
1.1%
4 76
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 143
82.7%
. 18
 
10.4%
/ 6
 
3.5%
· 4
 
2.3%
' 1
 
0.6%
; 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
c 12
50.0%
t 6
25.0%
v 6
25.0%
Open Punctuation
ValueCountFrequency (%)
( 1543
99.5%
[ 7
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 1536
99.5%
] 8
 
0.5%
Space Separator
ValueCountFrequency (%)
10827
100.0%
Control
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57867
72.0%
Common 22158
 
27.6%
Latin 298
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 3002
 
5.2%
양 2562
 
4.4%
휴 2559
 
4.4%
림 2478
 
4.3%
공 2038
 
3.5%
자 1986
 
3.4%
산 1986
 
3.4%
연 1935
 
3.3%
년 1896
 
3.3%
보 1717
 
3.0%
Other values (399) 35708
61.7%
Common
ValueCountFrequency (%)
10827
48.9%
2 3107
 
14.0%
0 2047
 
9.2%
( 1543
 
7.0%
) 1536
 
6.9%
1 1533
 
6.9%
7 284
 
1.3%
9 267
 
1.2%
8 211
 
1.0%
5 172
 
0.8%
Other values (15) 631
 
2.8%
Latin
ValueCountFrequency (%)
C 76
25.5%
L 37
12.4%
D 36
12.1%
E 36
12.1%
T 35
11.7%
V 35
11.7%
c 12
 
4.0%
A 6
 
2.0%
t 6
 
2.0%
v 6
 
2.0%
Other values (7) 13
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57867
72.0%
ASCII 22451
 
28.0%
None 4
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10827
48.2%
2 3107
 
13.8%
0 2047
 
9.1%
( 1543
 
6.9%
) 1536
 
6.8%
1 1533
 
6.8%
7 284
 
1.3%
9 267
 
1.2%
8 211
 
0.9%
5 172
 
0.8%
Other values (30) 924
 
4.1%
Hangul
ValueCountFrequency (%)
사 3002
 
5.2%
양 2562
 
4.4%
휴 2559
 
4.4%
림 2478
 
4.3%
공 2038
 
3.5%
자 1986
 
3.4%
산 1986
 
3.4%
연 1935
 
3.3%
년 1896
 
3.3%
보 1717
 
3.0%
Other values (399) 35708
61.7%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

공종
Text

Distinct943
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2023-12-13T01:00:42.377432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length63
Mean length10.694137
Min length2

Characters and Unicode

Total characters32831
Distinct characters485
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique794 ?
Unique (%)25.9%

Sample

1st row데이터 미집계
2nd row전기
3rd row토목
4th row통신
5th row전기
ValueCountFrequency (%)
설치 275
 
3.5%
교체 271
 
3.4%
및 270
 
3.4%
건축 213
 
2.7%
데이터 186
 
2.3%
미집계 186
 
2.3%
설비 143
 
1.8%
공사 136
 
1.7%
방부도색 129
 
1.6%
숲속의집 120
 
1.5%
Other values (1382) 6008
75.7%
2023-12-13T01:00:42.952331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5213
 
15.9%
사 1083
 
3.3%
공 1002
 
3.1%
설 954
 
2.9%
기 737
 
2.2%
전 626
 
1.9%
, 556
 
1.7%
관 554
 
1.7%
) 498
 
1.5%
( 497
 
1.5%
Other values (475) 21111
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24736
75.3%
Space Separator 5213
 
15.9%
Decimal Number 1082
 
3.3%
Other Punctuation 611
 
1.9%
Close Punctuation 500
 
1.5%
Open Punctuation 499
 
1.5%
Uppercase Letter 90
 
0.3%
Control 43
 
0.1%
Lowercase Letter 25
 
0.1%
Dash Punctuation 18
 
0.1%
Other values (5) 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1083
 
4.4%
공 1002
 
4.1%
설 954
 
3.9%
기 737
 
3.0%
전 626
 
2.5%
관 554
 
2.2%
치 467
 
1.9%
축 446
 
1.8%
체 419
 
1.7%
교 410
 
1.7%
Other values (426) 18038
72.9%
Uppercase Letter
ValueCountFrequency (%)
C 32
35.6%
T 17
18.9%
V 16
17.8%
L 6
 
6.7%
E 4
 
4.4%
D 4
 
4.4%
P 3
 
3.3%
S 2
 
2.2%
I 2
 
2.2%
A 2
 
2.2%
Other values (2) 2
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 404
37.3%
2 158
 
14.6%
0 144
 
13.3%
3 100
 
9.2%
4 65
 
6.0%
7 58
 
5.4%
8 53
 
4.9%
5 40
 
3.7%
6 40
 
3.7%
9 20
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
c 8
32.0%
v 4
16.0%
t 4
16.0%
m 3
 
12.0%
k 2
 
8.0%
w 1
 
4.0%
a 1
 
4.0%
h 1
 
4.0%
g 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 556
91.0%
/ 26
 
4.3%
. 21
 
3.4%
: 7
 
1.1%
& 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 498
99.6%
] 2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 497
99.6%
[ 2
 
0.4%
Other Symbol
ValueCountFrequency (%)
㎡ 7
87.5%
㎥ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
5213
100.0%
Control
ValueCountFrequency (%)
43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24736
75.3%
Common 7980
 
24.3%
Latin 115
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1083
 
4.4%
공 1002
 
4.1%
설 954
 
3.9%
기 737
 
3.0%
전 626
 
2.5%
관 554
 
2.2%
치 467
 
1.9%
축 446
 
1.8%
체 419
 
1.7%
교 410
 
1.7%
Other values (426) 18038
72.9%
Common
ValueCountFrequency (%)
5213
65.3%
, 556
 
7.0%
) 498
 
6.2%
( 497
 
6.2%
1 404
 
5.1%
2 158
 
2.0%
0 144
 
1.8%
3 100
 
1.3%
4 65
 
0.8%
7 58
 
0.7%
Other values (18) 287
 
3.6%
Latin
ValueCountFrequency (%)
C 32
27.8%
T 17
14.8%
V 16
13.9%
c 8
 
7.0%
L 6
 
5.2%
E 4
 
3.5%
D 4
 
3.5%
v 4
 
3.5%
t 4
 
3.5%
m 3
 
2.6%
Other values (11) 17
14.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24736
75.3%
ASCII 8085
 
24.6%
CJK Compat 8
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5213
64.5%
, 556
 
6.9%
) 498
 
6.2%
( 497
 
6.1%
1 404
 
5.0%
2 158
 
2.0%
0 144
 
1.8%
3 100
 
1.2%
4 65
 
0.8%
7 58
 
0.7%
Other values (35) 392
 
4.8%
Hangul
ValueCountFrequency (%)
사 1083
 
4.4%
공 1002
 
4.1%
설 954
 
3.9%
기 737
 
3.0%
전 626
 
2.5%
관 554
 
2.2%
치 467
 
1.9%
축 446
 
1.8%
체 419
 
1.7%
교 410
 
1.7%
Other values (426) 18038
72.9%
CJK Compat
ValueCountFrequency (%)
㎡ 7
87.5%
㎥ 1
 
12.5%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

시공업체명
Text

Distinct1193
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2023-12-13T01:00:43.202788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length8.3612378
Min length1

Characters and Unicode

Total characters25669
Distinct characters422
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique854 ?
Unique (%)27.8%

Sample

1st row진두건설(주) 대표 김용호
2nd row테크원주식회사
3rd row고려모터 대표 최병호
4th row설악명전사 대표 남정술
5th row설악명전사 대표 남정술
ValueCountFrequency (%)
주식회사 258
 
6.1%
대표 177
 
4.2%
산림조합중앙회 145
 
3.4%
고창군산림조합 58
 
1.4%
데이터 54
 
1.3%
미집계 54
 
1.3%
강스홈 44
 
1.0%
주)중부전설 42
 
1.0%
양평지물타일인테리어 40
 
0.9%
산림조합 37
 
0.9%
Other values (1215) 3343
78.6%
2023-12-13T01:00:43.558098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1449
 
5.6%
주 1201
 
4.7%
) 919
 
3.6%
( 917
 
3.6%
사 889
 
3.5%
산 697
 
2.7%
합 615
 
2.4%
건 599
 
2.3%
전 567
 
2.2%
림 517
 
2.0%
Other values (412) 17299
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21949
85.5%
Space Separator 1449
 
5.6%
Close Punctuation 919
 
3.6%
Open Punctuation 917
 
3.6%
Uppercase Letter 218
 
0.8%
Control 79
 
0.3%
Other Symbol 76
 
0.3%
Other Punctuation 37
 
0.1%
Lowercase Letter 14
 
0.1%
Decimal Number 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1201
 
5.5%
사 889
 
4.1%
산 697
 
3.2%
합 615
 
2.8%
건 599
 
2.7%
전 567
 
2.6%
림 517
 
2.4%
회 510
 
2.3%
조 494
 
2.3%
설 466
 
2.1%
Other values (369) 15394
70.1%
Uppercase Letter
ValueCountFrequency (%)
C 46
21.1%
S 36
16.5%
N 26
11.9%
T 24
11.0%
V 14
 
6.4%
A 12
 
5.5%
M 11
 
5.0%
E 11
 
5.0%
R 9
 
4.1%
J 7
 
3.2%
Other values (11) 22
10.1%
Lowercase Letter
ValueCountFrequency (%)
r 3
21.4%
t 3
21.4%
a 2
14.3%
c 2
14.3%
v 1
 
7.1%
m 1
 
7.1%
o 1
 
7.1%
p 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 5
50.0%
8 2
 
20.0%
9 1
 
10.0%
4 1
 
10.0%
7 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 29
78.4%
& 6
 
16.2%
. 2
 
5.4%
Space Separator
ValueCountFrequency (%)
1449
100.0%
Close Punctuation
ValueCountFrequency (%)
) 919
100.0%
Open Punctuation
ValueCountFrequency (%)
( 917
100.0%
Control
ValueCountFrequency (%)
79
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22025
85.8%
Common 3412
 
13.3%
Latin 232
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1201
 
5.5%
사 889
 
4.0%
산 697
 
3.2%
합 615
 
2.8%
건 599
 
2.7%
전 567
 
2.6%
림 517
 
2.3%
회 510
 
2.3%
조 494
 
2.2%
설 466
 
2.1%
Other values (370) 15470
70.2%
Latin
ValueCountFrequency (%)
C 46
19.8%
S 36
15.5%
N 26
11.2%
T 24
10.3%
V 14
 
6.0%
A 12
 
5.2%
M 11
 
4.7%
E 11
 
4.7%
R 9
 
3.9%
J 7
 
3.0%
Other values (19) 36
15.5%
Common
ValueCountFrequency (%)
1449
42.5%
) 919
26.9%
( 917
26.9%
79
 
2.3%
, 29
 
0.8%
& 6
 
0.2%
1 5
 
0.1%
. 2
 
0.1%
8 2
 
0.1%
9 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21948
85.5%
ASCII 3644
 
14.2%
None 76
 
0.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1449
39.8%
) 919
25.2%
( 917
25.2%
79
 
2.2%
C 46
 
1.3%
S 36
 
1.0%
, 29
 
0.8%
N 26
 
0.7%
T 24
 
0.7%
V 14
 
0.4%
Other values (32) 105
 
2.9%
Hangul
ValueCountFrequency (%)
주 1201
 
5.5%
사 889
 
4.1%
산 697
 
3.2%
합 615
 
2.8%
건 599
 
2.7%
전 567
 
2.6%
림 517
 
2.4%
회 510
 
2.3%
조 494
 
2.3%
설 466
 
2.1%
Other values (368) 15393
70.1%
None
ValueCountFrequency (%)
㈜ 76
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

계약일자
Text

Distinct835
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2023-12-13T01:00:43.828227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8250814
Min length7

Characters and Unicode

Total characters30163
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique419 ?
Unique (%)13.6%

Sample

1st row2013-03-06
2nd row2013-03-12
3rd row2013-03-25
4th row2013-03-25
5th row2013-04-10
ValueCountFrequency (%)
데이터 179
 
5.5%
미집계 179
 
5.5%
2022-03-14 90
 
2.8%
2017-06-14 53
 
1.6%
2022-03-07 49
 
1.5%
2018-02-14 46
 
1.4%
2017-06-16 40
 
1.2%
2020-03-12 34
 
1.0%
2021-02-26 34
 
1.0%
2021-02-23 32
 
1.0%
Other values (826) 2513
77.3%
2023-12-13T01:00:44.214760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6836
22.7%
2 6461
21.4%
- 5782
19.2%
1 3971
13.2%
3 1269
 
4.2%
4 868
 
2.9%
5 818
 
2.7%
7 760
 
2.5%
6 733
 
2.4%
9 711
 
2.4%
Other values (8) 1954
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23128
76.7%
Dash Punctuation 5782
 
19.2%
Other Letter 1074
 
3.6%
Space Separator 179
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6836
29.6%
2 6461
27.9%
1 3971
17.2%
3 1269
 
5.5%
4 868
 
3.8%
5 818
 
3.5%
7 760
 
3.3%
6 733
 
3.2%
9 711
 
3.1%
8 701
 
3.0%
Other Letter
ValueCountFrequency (%)
이 179
16.7%
계 179
16.7%
집 179
16.7%
미 179
16.7%
터 179
16.7%
데 179
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 5782
100.0%
Space Separator
ValueCountFrequency (%)
179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29089
96.4%
Hangul 1074
 
3.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6836
23.5%
2 6461
22.2%
- 5782
19.9%
1 3971
13.7%
3 1269
 
4.4%
4 868
 
3.0%
5 818
 
2.8%
7 760
 
2.6%
6 733
 
2.5%
9 711
 
2.4%
Other values (2) 880
 
3.0%
Hangul
ValueCountFrequency (%)
이 179
16.7%
계 179
16.7%
집 179
16.7%
미 179
16.7%
터 179
16.7%
데 179
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29089
96.4%
Hangul 1074
 
3.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6836
23.5%
2 6461
22.2%
- 5782
19.9%
1 3971
13.7%
3 1269
 
4.4%
4 868
 
3.0%
5 818
 
2.8%
7 760
 
2.6%
6 733
 
2.5%
9 711
 
2.4%
Other values (2) 880
 
3.0%
Hangul
ValueCountFrequency (%)
이 179
16.7%
계 179
16.7%
집 179
16.7%
미 179
16.7%
터 179
16.7%
데 179
16.7%

착공일자
Text

Distinct816
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2023-12-13T01:00:44.465884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.7781759
Min length7

Characters and Unicode

Total characters30019
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique419 ?
Unique (%)13.6%

Sample

1st row2013-03-08
2nd row2013-04-12
3rd row2013-03-26
4th row2013-03-26
5th row2013-04-14
ValueCountFrequency (%)
데이터 227
 
6.9%
미집계 227
 
6.9%
2022-03-15 99
 
3.0%
2022-03-07 52
 
1.6%
2017-06-14 52
 
1.6%
2021-03-02 46
 
1.4%
2017-06-16 37
 
1.1%
2022-03-25 34
 
1.0%
2015-05-08 33
 
1.0%
2020-03-02 32
 
1.0%
Other values (807) 2458
74.6%
2023-12-13T01:00:44.830319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6885
22.9%
2 6248
20.8%
- 5686
18.9%
1 3894
13.0%
3 1319
 
4.4%
5 875
 
2.9%
4 869
 
2.9%
7 701
 
2.3%
6 687
 
2.3%
9 644
 
2.1%
Other values (8) 2211
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22744
75.8%
Dash Punctuation 5686
 
18.9%
Other Letter 1362
 
4.5%
Space Separator 227
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6885
30.3%
2 6248
27.5%
1 3894
17.1%
3 1319
 
5.8%
5 875
 
3.8%
4 869
 
3.8%
7 701
 
3.1%
6 687
 
3.0%
9 644
 
2.8%
8 622
 
2.7%
Other Letter
ValueCountFrequency (%)
이 227
16.7%
계 227
16.7%
집 227
16.7%
미 227
16.7%
터 227
16.7%
데 227
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 5686
100.0%
Space Separator
ValueCountFrequency (%)
227
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28657
95.5%
Hangul 1362
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6885
24.0%
2 6248
21.8%
- 5686
19.8%
1 3894
13.6%
3 1319
 
4.6%
5 875
 
3.1%
4 869
 
3.0%
7 701
 
2.4%
6 687
 
2.4%
9 644
 
2.2%
Other values (2) 849
 
3.0%
Hangul
ValueCountFrequency (%)
이 227
16.7%
계 227
16.7%
집 227
16.7%
미 227
16.7%
터 227
16.7%
데 227
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28657
95.5%
Hangul 1362
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6885
24.0%
2 6248
21.8%
- 5686
19.8%
1 3894
13.6%
3 1319
 
4.6%
5 875
 
3.1%
4 869
 
3.0%
7 701
 
2.4%
6 687
 
2.4%
9 644
 
2.2%
Other values (2) 849
 
3.0%
Hangul
ValueCountFrequency (%)
이 227
16.7%
계 227
16.7%
집 227
16.7%
미 227
16.7%
터 227
16.7%
데 227
16.7%

준공일자
Text

Distinct965
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2023-12-13T01:00:45.087069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.7703583
Min length7

Characters and Unicode

Total characters29995
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique542 ?
Unique (%)17.7%

Sample

1st row2013-03-14
2nd row2013-05-03
3rd row2013-03-28
4th row2013-03-30
5th row2013-04-18
ValueCountFrequency (%)
데이터 235
 
7.1%
미집계 235
 
7.1%
2017-06-26 55
 
1.7%
2022-06-02 50
 
1.5%
2022-03-31 49
 
1.5%
2018-06-22 45
 
1.4%
2021-03-17 40
 
1.2%
2017-06-23 38
 
1.1%
2015-05-12 38
 
1.1%
2021-05-13 34
 
1.0%
Other values (956) 2486
75.2%
2023-12-13T01:00:45.473561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6596
22.0%
0 6582
21.9%
- 5670
18.9%
1 3770
12.6%
3 995
 
3.3%
6 892
 
3.0%
7 843
 
2.8%
5 842
 
2.8%
4 800
 
2.7%
9 695
 
2.3%
Other values (8) 2310
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22680
75.6%
Dash Punctuation 5670
 
18.9%
Other Letter 1410
 
4.7%
Space Separator 235
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6596
29.1%
0 6582
29.0%
1 3770
16.6%
3 995
 
4.4%
6 892
 
3.9%
7 843
 
3.7%
5 842
 
3.7%
4 800
 
3.5%
9 695
 
3.1%
8 665
 
2.9%
Other Letter
ValueCountFrequency (%)
이 235
16.7%
계 235
16.7%
집 235
16.7%
미 235
16.7%
터 235
16.7%
데 235
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 5670
100.0%
Space Separator
ValueCountFrequency (%)
235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28585
95.3%
Hangul 1410
 
4.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6596
23.1%
0 6582
23.0%
- 5670
19.8%
1 3770
13.2%
3 995
 
3.5%
6 892
 
3.1%
7 843
 
2.9%
5 842
 
2.9%
4 800
 
2.8%
9 695
 
2.4%
Other values (2) 900
 
3.1%
Hangul
ValueCountFrequency (%)
이 235
16.7%
계 235
16.7%
집 235
16.7%
미 235
16.7%
터 235
16.7%
데 235
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28585
95.3%
Hangul 1410
 
4.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6596
23.1%
0 6582
23.0%
- 5670
19.8%
1 3770
13.2%
3 995
 
3.5%
6 892
 
3.1%
7 843
 
2.9%
5 842
 
2.9%
4 800
 
2.8%
9 695
 
2.4%
Other values (2) 900
 
3.1%
Hangul
ValueCountFrequency (%)
이 235
16.7%
계 235
16.7%
집 235
16.7%
미 235
16.7%
터 235
16.7%
데 235
16.7%

Interactions

2023-12-13T01:00:36.852330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:36.648997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:36.949250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:00:36.752481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:00:45.580889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴양림아이디휴양림명내외구분코드내외구분명사업년도
휴양림아이디1.0001.0000.3780.3780.350
휴양림명1.0001.0000.6530.6530.567
내외구분코드0.3780.6531.0001.0000.153
내외구분명0.3780.6531.0001.0000.153
사업년도0.3500.5670.1530.1531.000
2023-12-13T01:00:45.678834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
내외구분코드내외구분명휴양림명
내외구분코드1.0000.9990.525
내외구분명0.9991.0000.525
휴양림명0.5250.5251.000
2023-12-13T01:00:45.806478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴양림아이디사업년도휴양림명내외구분코드내외구분명
휴양림아이디1.0000.1180.9940.2840.284
사업년도0.1181.0000.2340.1180.118
휴양림명0.9940.2341.0000.5250.525
내외구분코드0.2840.1180.5251.0000.999
내외구분명0.2840.1180.5250.9991.000

Missing values

2023-12-13T01:00:37.089752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:00:37.287089image/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

휴양림아이디휴양림명내외구분코드내외구분명사업년도사업내역상품아이디상품명사업명공종시공업체명계약일자착공일자준공일자
0101유명산 자연휴양림2객실외2013항산화왁스 도색해당없음해당없음2013년 유명산자연휴양림 유지보수사업(항산화왁스 도색)데이터 미집계진두건설(주) 대표 김용호2013-03-062013-03-082013-03-14
1101유명산 자연휴양림2객실외2013하이브리드 가로등 설치사업해당없음해당없음2013년 유명산자연휴양림 하이브리드 가로등 설치사업전기테크원주식회사2013-03-122013-04-122013-05-03
2101유명산 자연휴양림2객실외2013관정모터 교체해당없음해당없음2013년 국립유명산자연흉야림 유지보수사업(관정모터 교체)토목고려모터 대표 최병호2013-03-252013-03-262013-03-28
3101유명산 자연휴양림2객실외2013통신케이블 매설공사해당없음해당없음2013년 유명산자연휴양림 유지보수사업(통신케이블 매설공사)통신설악명전사 대표 남정술2013-03-252013-03-262013-03-30
4101유명산 자연휴양림2객실외2013전기용량 증설해당없음해당없음2013년 유명산자연휴양림 전기용량 증설 공사전기설악명전사 대표 남정술2013-04-102013-04-142013-04-18
5101유명산 자연휴양림2객실외2013물탱크설치공사해당없음해당없음2013년 유명산자연휴양림 지하수개발 및 물탱크 설치공사토목나움건설(주) 대표 공창유2013-06-182013-06-192013-10-01
6101유명산 자연휴양림2객실외2013물탱크 설치공사해당없음해당없음2013년 유명산자연휴양림 지하수개발 및 물탱크 설치공사토목시온테크닉스 대표 정현오2013-06-182013-06-192013-10-01
7101유명산 자연휴양림2객실외2013분리막 세정작업해당없음해당없음2013년 국립유명산자연휴양림 유지보수사업 분리막 세정작업데이터 미집계데이터 미집계2013-07-082013-07-132013-07-13
8101유명산 자연휴양림2객실외2013방문자안내센터 등 리모델링해당없음해당없음2013년 유명산자연휴양림 보완사업 건축공사(방문자안내센터 등 리모델링)건축(주)청우종합건설 대표 고기제2013-09-132013-09-132013-12-21
9101유명산 자연휴양림2객실외2013방문자안내센터 등 리모델링해당없음해당없음2013년 유명산자연휴양림 보완사업 건축공사(방문자안내센터 등 리모델링)건축(주)청우종합건설 대표 고기제2013-09-132013-09-132013-12-21
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Duplicate rows

Most frequently occurring

휴양림아이디휴양림명내외구분코드내외구분명사업년도사업내역상품아이디상품명사업명공종시공업체명계약일자착공일자준공일자# duplicates
0101유명산 자연휴양림2객실외2013방문자안내센터 등 리모델링해당없음해당없음2013년 유명산자연휴양림 보완사업 건축공사(방문자안내센터 등 리모델링)건축(주)청우종합건설 대표 고기제2013-09-132013-09-132013-12-213