Overview

Dataset statistics

Number of variables34
Number of observations5763
Missing cells396
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory285.0 B

Variable types

Categorical9
Text9
DateTime6
Numeric10

Dataset

Description한국토지주택공사가 공급하는 상가에 대한 공고명, 공고종류, 공급종류, 상가명, 면적, 예정가격 등의 상가 공급 및 대금납부정보를 제공합니다.
URLhttps://www.data.go.kr/data/15119259/fileData.do

Alerts

공고종류 has constant value ""Constant
공급방법 has constant value ""Constant
계약금납부기한내용 has constant value ""Constant
is highly imbalanced (61.9%)Imbalance
계약금비율(퍼센트) is highly imbalanced (84.5%)Imbalance
중도금비율(퍼센트) is highly imbalanced (56.5%)Imbalance
중도금납부기한내용 is highly imbalanced (54.1%)Imbalance
주택면적규모최소 has 114 (2.0%) missing valuesMissing
주택면적규모최대 has 114 (2.0%) missing valuesMissing
주택세대수 has 114 (2.0%) missing valuesMissing
동일련번호 is highly skewed (γ1 = 23.9499544)Skewed
부가세율 has 210 (3.6%) zerosZeros

Reproduction

Analysis started2023-12-12 18:01:31.639527
Analysis finished2023-12-12 18:01:33.331970
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역본부
Categorical

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
경기남부지역본부
2000 
경기북부지역본부
1030 
광주전남지역본부
418 
서울지역본부
356 
대전충남지역본부
352 
Other values (10)
1607 

Length

Max length8
Median length8
Mean length7.313552
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기남부지역본부 2000
34.7%
경기북부지역본부 1030
17.9%
광주전남지역본부 418
 
7.3%
서울지역본부 356
 
6.2%
대전충남지역본부 352
 
6.1%
경남지역본부 288
 
5.0%
부산울산지역본부 234
 
4.1%
세종특별본부 226
 
3.9%
대구경북지역본부 208
 
3.6%
인천지역본부 200
 
3.5%
Other values (5) 451
 
7.8%

Length

2023-12-13T03:01:33.430309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기남부지역본부 2000
34.7%
경기북부지역본부 1030
17.9%
광주전남지역본부 418
 
7.3%
서울지역본부 356
 
6.2%
대전충남지역본부 352
 
6.1%
경남지역본부 288
 
5.0%
부산울산지역본부 234
 
4.1%
세종특별본부 226
 
3.9%
대구경북지역본부 208
 
3.6%
인천지역본부 200
 
3.5%
Other values (5) 451
 
7.8%
Distinct538
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
2023-12-13T03:01:33.713346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length51
Mean length28.6422
Min length15

Characters and Unicode

Total characters165065
Distinct characters290
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row강원혁신A-1블록 단지 내 상가 재입찰 공고
2nd row강원혁신A-1블록 단지 내 상가 재입찰 공고
3rd row강원혁신A-1블록 단지 내 상가 재입찰 공고
4th row강원혁신A-1블록 단지 내 상가 재입찰 공고
5th row강원혁신도시 A-2블록 단지 내 상가 신규 입찰 공고
ValueCountFrequency (%)
단지내상가 3145
 
10.1%
공고 2169
 
6.9%
분양공고 1980
 
6.3%
상가 1528
 
4.9%
분양 1516
 
4.8%
단지내 850
 
2.7%
입점자 672
 
2.1%
재분양 561
 
1.8%
단지 406
 
1.3%
384
 
1.2%
Other values (674) 18080
57.8%
2023-12-13T03:01:34.226832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26962
 
16.3%
7337
 
4.4%
6261
 
3.8%
6175
 
3.7%
6037
 
3.7%
5541
 
3.4%
5337
 
3.2%
4771
 
2.9%
4719
 
2.9%
4615
 
2.8%
Other values (280) 87310
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107763
65.3%
Space Separator 26962
 
16.3%
Decimal Number 12329
 
7.5%
Uppercase Letter 9583
 
5.8%
Dash Punctuation 3172
 
1.9%
Close Punctuation 2225
 
1.3%
Open Punctuation 2225
 
1.3%
Other Punctuation 264
 
0.2%
Lowercase Letter 262
 
0.2%
Other Symbol 196
 
0.1%
Other values (3) 84
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7337
 
6.8%
6261
 
5.8%
6175
 
5.7%
6037
 
5.6%
5541
 
5.1%
5337
 
5.0%
4771
 
4.4%
4719
 
4.4%
4615
 
4.3%
3909
 
3.6%
Other values (236) 53061
49.2%
Uppercase Letter
ValueCountFrequency (%)
A 3383
35.3%
B 2190
22.9%
L 1914
20.0%
H 982
 
10.2%
S 466
 
4.9%
M 232
 
2.4%
C 228
 
2.4%
F 76
 
0.8%
N 76
 
0.8%
E 22
 
0.2%
Other values (2) 14
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 3480
28.2%
1 3087
25.0%
3 1382
 
11.2%
4 989
 
8.0%
0 911
 
7.4%
6 830
 
6.7%
5 550
 
4.5%
8 410
 
3.3%
7 404
 
3.3%
9 286
 
2.3%
Other Symbol
ValueCountFrequency (%)
160
81.6%
14
 
7.1%
10
 
5.1%
6
 
3.1%
4
 
2.0%
2
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
a 106
40.5%
c 68
26.0%
b 50
19.1%
l 38
 
14.5%
Other Punctuation
ValueCountFrequency (%)
. 234
88.6%
· 28
 
10.6%
' 2
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 2189
98.4%
] 36
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 2189
98.4%
[ 36
 
1.6%
Space Separator
ValueCountFrequency (%)
26962
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3172
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 30
100.0%
Initial Punctuation
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107763
65.3%
Common 47457
28.8%
Latin 9845
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7337
 
6.8%
6261
 
5.8%
6175
 
5.7%
6037
 
5.6%
5541
 
5.1%
5337
 
5.0%
4771
 
4.4%
4719
 
4.4%
4615
 
4.3%
3909
 
3.6%
Other values (236) 53061
49.2%
Common
ValueCountFrequency (%)
26962
56.8%
2 3480
 
7.3%
- 3172
 
6.7%
1 3087
 
6.5%
) 2189
 
4.6%
( 2189
 
4.6%
3 1382
 
2.9%
4 989
 
2.1%
0 911
 
1.9%
6 830
 
1.7%
Other values (18) 2266
 
4.8%
Latin
ValueCountFrequency (%)
A 3383
34.4%
B 2190
22.2%
L 1914
19.4%
H 982
 
10.0%
S 466
 
4.7%
M 232
 
2.4%
C 228
 
2.3%
a 106
 
1.1%
F 76
 
0.8%
N 76
 
0.8%
Other values (6) 192
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107763
65.3%
ASCII 57054
34.6%
Misc Symbols 184
 
0.1%
None 28
 
< 0.1%
Punctuation 24
 
< 0.1%
Geometric Shapes 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26962
47.3%
2 3480
 
6.1%
A 3383
 
5.9%
- 3172
 
5.6%
1 3087
 
5.4%
B 2190
 
3.8%
) 2189
 
3.8%
( 2189
 
3.8%
L 1914
 
3.4%
3 1382
 
2.4%
Other values (26) 7106
 
12.5%
Hangul
ValueCountFrequency (%)
7337
 
6.8%
6261
 
5.8%
6175
 
5.7%
6037
 
5.6%
5541
 
5.1%
5337
 
5.0%
4771
 
4.4%
4719
 
4.4%
4615
 
4.3%
3909
 
3.6%
Other values (236) 53061
49.2%
Misc Symbols
ValueCountFrequency (%)
160
87.0%
14
 
7.6%
10
 
5.4%
None
ValueCountFrequency (%)
· 28
100.0%
Punctuation
ValueCountFrequency (%)
24
100.0%
Geometric Shapes
ValueCountFrequency (%)
6
50.0%
4
33.3%
2
 
16.7%

공고종류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
일반공고
5763 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반공고 5763
100.0%

Length

2023-12-13T03:01:34.398000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:01:34.510728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반공고 5763
100.0%
Distinct223
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
Minimum2016-02-12 00:00:00
Maximum2023-08-09 00:00:00
2023-12-13T03:01:34.639127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:01:35.114455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct336
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
Minimum2016-02-24 00:00:00
Maximum2023-09-07 00:00:00
2023-12-13T03:01:35.281466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:01:35.464435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct356
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
Minimum2016-02-25 00:00:00
Maximum2023-09-08 00:00:00
2023-12-13T03:01:35.633711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:01:35.817387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공급방법
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
입찰
5763 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
입찰 5763
100.0%

Length

2023-12-13T03:01:36.005504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:01:36.120347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입찰 5763
100.0%
Distinct253
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
2023-12-13T03:01:36.386408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length10.401701
Min length2

Characters and Unicode

Total characters59945
Distinct characters219
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원혁신
2nd row강원혁신
3rd row강원혁신
4th row강원혁신
5th row강원혁신
ValueCountFrequency (%)
화성동탄2 262
 
3.3%
210
 
2.6%
목포남교(09 190
 
2.4%
보금4 188
 
2.3%
행정중심복합도시 180
 
2.2%
국민 178
 
2.2%
보금1 154
 
1.9%
142
 
1.8%
아산배방업무4(행복 136
 
1.7%
택1 136
 
1.7%
Other values (284) 6282
78.0%
2023-12-13T03:01:36.922235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 4475
 
7.5%
) 4475
 
7.5%
2295
 
3.8%
0 2024
 
3.4%
1599
 
2.7%
1551
 
2.6%
1383
 
2.3%
2 1374
 
2.3%
1351
 
2.3%
1325
 
2.2%
Other values (209) 38093
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36750
61.3%
Decimal Number 8109
 
13.5%
Open Punctuation 4475
 
7.5%
Close Punctuation 4475
 
7.5%
Uppercase Letter 2631
 
4.4%
Space Separator 2295
 
3.8%
Dash Punctuation 1108
 
1.8%
Lowercase Letter 94
 
0.2%
Connector Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1599
 
4.4%
1551
 
4.2%
1383
 
3.8%
1351
 
3.7%
1325
 
3.6%
1084
 
2.9%
1078
 
2.9%
912
 
2.5%
802
 
2.2%
798
 
2.2%
Other values (180) 24867
67.7%
Uppercase Letter
ValueCountFrequency (%)
A 919
34.9%
B 862
32.8%
G 296
 
11.3%
L 198
 
7.5%
S 176
 
6.7%
M 38
 
1.4%
K 36
 
1.4%
T 36
 
1.4%
X 36
 
1.4%
E 22
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 2024
25.0%
2 1374
16.9%
1 1094
13.5%
3 786
 
9.7%
5 672
 
8.3%
9 628
 
7.7%
4 603
 
7.4%
6 450
 
5.5%
8 302
 
3.7%
7 176
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
c 48
51.1%
a 36
38.3%
b 10
 
10.6%
Open Punctuation
ValueCountFrequency (%)
( 4475
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4475
100.0%
Space Separator
ValueCountFrequency (%)
2295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1108
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36750
61.3%
Common 20470
34.1%
Latin 2725
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1599
 
4.4%
1551
 
4.2%
1383
 
3.8%
1351
 
3.7%
1325
 
3.6%
1084
 
2.9%
1078
 
2.9%
912
 
2.5%
802
 
2.2%
798
 
2.2%
Other values (180) 24867
67.7%
Common
ValueCountFrequency (%)
( 4475
21.9%
) 4475
21.9%
2295
11.2%
0 2024
9.9%
2 1374
 
6.7%
- 1108
 
5.4%
1 1094
 
5.3%
3 786
 
3.8%
5 672
 
3.3%
9 628
 
3.1%
Other values (5) 1539
 
7.5%
Latin
ValueCountFrequency (%)
A 919
33.7%
B 862
31.6%
G 296
 
10.9%
L 198
 
7.3%
S 176
 
6.5%
c 48
 
1.8%
M 38
 
1.4%
a 36
 
1.3%
K 36
 
1.3%
T 36
 
1.3%
Other values (4) 80
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36750
61.3%
ASCII 23195
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 4475
19.3%
) 4475
19.3%
2295
9.9%
0 2024
8.7%
2 1374
 
5.9%
- 1108
 
4.8%
1 1094
 
4.7%
A 919
 
4.0%
B 862
 
3.7%
3 786
 
3.4%
Other values (19) 3783
16.3%
Hangul
ValueCountFrequency (%)
1599
 
4.4%
1551
 
4.2%
1383
 
3.8%
1351
 
3.7%
1325
 
3.6%
1084
 
2.9%
1078
 
2.9%
912
 
2.5%
802
 
2.2%
798
 
2.2%
Other values (180) 24867
67.7%

블록
Text

Distinct163
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
2023-12-13T03:01:37.315253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length2.7497831
Min length1

Characters and Unicode

Total characters15847
Distinct characters33
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowA1
2nd rowA1
3rd rowA1
4th rowA1
5th rowA2
ValueCountFrequency (%)
1 712
 
12.3%
a-1 282
 
4.9%
a1 262
 
4.5%
a4 160
 
2.8%
a-3 158
 
2.7%
a3 156
 
2.7%
b1 154
 
2.7%
s1 140
 
2.4%
주상복합2 136
 
2.4%
h-1 134
 
2.3%
Other values (154) 3483
60.3%
2023-12-13T03:01:37.804042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 2731
17.2%
1 2612
16.5%
- 2425
15.3%
2 1476
9.3%
3 1050
 
6.6%
B 750
 
4.7%
4 727
 
4.6%
0 522
 
3.3%
6 454
 
2.9%
S 414
 
2.6%
Other values (23) 2686
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7791
49.2%
Uppercase Letter 4603
29.0%
Dash Punctuation 2425
 
15.3%
Other Letter 716
 
4.5%
Lowercase Letter 186
 
1.2%
Open Punctuation 56
 
0.4%
Close Punctuation 56
 
0.4%
Space Separator 14
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2731
59.3%
B 750
 
16.3%
S 414
 
9.0%
M 220
 
4.8%
H 200
 
4.3%
C 196
 
4.3%
L 36
 
0.8%
F 28
 
0.6%
R 16
 
0.3%
Z 12
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 2612
33.5%
2 1476
18.9%
3 1050
13.5%
4 727
 
9.3%
0 522
 
6.7%
6 454
 
5.8%
5 314
 
4.0%
8 276
 
3.5%
7 196
 
2.5%
9 164
 
2.1%
Other Letter
ValueCountFrequency (%)
208
29.1%
208
29.1%
136
19.0%
136
19.0%
14
 
2.0%
14
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 90
48.4%
c 54
29.0%
b 42
22.6%
Dash Punctuation
ValueCountFrequency (%)
- 2425
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10342
65.3%
Latin 4789
30.2%
Hangul 716
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2612
25.3%
- 2425
23.4%
2 1476
14.3%
3 1050
10.2%
4 727
 
7.0%
0 522
 
5.0%
6 454
 
4.4%
5 314
 
3.0%
8 276
 
2.7%
7 196
 
1.9%
Other values (4) 290
 
2.8%
Latin
ValueCountFrequency (%)
A 2731
57.0%
B 750
 
15.7%
S 414
 
8.6%
M 220
 
4.6%
H 200
 
4.2%
C 196
 
4.1%
a 90
 
1.9%
c 54
 
1.1%
b 42
 
0.9%
L 36
 
0.8%
Other values (3) 56
 
1.2%
Hangul
ValueCountFrequency (%)
208
29.1%
208
29.1%
136
19.0%
136
19.0%
14
 
2.0%
14
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15131
95.5%
Hangul 716
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 2731
18.0%
1 2612
17.3%
- 2425
16.0%
2 1476
9.8%
3 1050
 
6.9%
B 750
 
5.0%
4 727
 
4.8%
0 522
 
3.4%
6 454
 
3.0%
S 414
 
2.7%
Other values (17) 1970
13.0%
Hangul
ValueCountFrequency (%)
208
29.1%
208
29.1%
136
19.0%
136
19.0%
14
 
2.0%
14
 
2.0%
Distinct421
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
2023-12-13T03:01:38.161145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length15.544508
Min length3

Characters and Unicode

Total characters89583
Distinct characters255
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원혁신 A-1블록상가
2nd row강원혁신 A-1블록상가
3rd row강원혁신 A-1블록상가
4th row강원혁신 A-1블록상가
5th row강원혁신 A-2블록
ValueCountFrequency (%)
단지내상가 1608
 
9.9%
상가 1600
 
9.8%
단지내 756
 
4.6%
화성동탄2 262
 
1.6%
a-1블록 236
 
1.4%
lh희망상가 220
 
1.4%
목포남교 190
 
1.2%
판매시설 190
 
1.2%
단지 178
 
1.1%
178
 
1.1%
Other values (494) 10865
66.7%
2023-12-13T03:01:38.796010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10520
 
11.7%
4977
 
5.6%
4853
 
5.4%
3594
 
4.0%
3218
 
3.6%
3130
 
3.5%
3061
 
3.4%
2949
 
3.3%
A 2737
 
3.1%
2 2549
 
2.8%
Other values (245) 47995
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56928
63.5%
Space Separator 10520
 
11.7%
Decimal Number 9167
 
10.2%
Uppercase Letter 8095
 
9.0%
Dash Punctuation 2429
 
2.7%
Open Punctuation 1090
 
1.2%
Close Punctuation 1090
 
1.2%
Lowercase Letter 260
 
0.3%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4977
 
8.7%
4853
 
8.5%
3594
 
6.3%
3218
 
5.7%
3130
 
5.5%
3061
 
5.4%
2949
 
5.2%
1393
 
2.4%
972
 
1.7%
837
 
1.5%
Other values (216) 27944
49.1%
Uppercase Letter
ValueCountFrequency (%)
A 2737
33.8%
B 2038
25.2%
L 1806
22.3%
H 574
 
7.1%
S 474
 
5.9%
M 220
 
2.7%
C 196
 
2.4%
E 22
 
0.3%
R 16
 
0.2%
Z 12
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 2549
27.8%
1 2357
25.7%
3 1282
14.0%
4 903
 
9.9%
0 572
 
6.2%
6 480
 
5.2%
5 364
 
4.0%
8 292
 
3.2%
7 202
 
2.2%
9 166
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 78
30.0%
b 70
26.9%
c 68
26.2%
l 44
16.9%
Space Separator
ValueCountFrequency (%)
10520
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2429
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1090
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1090
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56928
63.5%
Common 24300
27.1%
Latin 8355
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4977
 
8.7%
4853
 
8.5%
3594
 
6.3%
3218
 
5.7%
3130
 
5.5%
3061
 
5.4%
2949
 
5.2%
1393
 
2.4%
972
 
1.7%
837
 
1.5%
Other values (216) 27944
49.1%
Common
ValueCountFrequency (%)
10520
43.3%
2 2549
 
10.5%
- 2429
 
10.0%
1 2357
 
9.7%
3 1282
 
5.3%
( 1090
 
4.5%
) 1090
 
4.5%
4 903
 
3.7%
0 572
 
2.4%
6 480
 
2.0%
Other values (5) 1028
 
4.2%
Latin
ValueCountFrequency (%)
A 2737
32.8%
B 2038
24.4%
L 1806
21.6%
H 574
 
6.9%
S 474
 
5.7%
M 220
 
2.6%
C 196
 
2.3%
a 78
 
0.9%
b 70
 
0.8%
c 68
 
0.8%
Other values (4) 94
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56928
63.5%
ASCII 32655
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10520
32.2%
A 2737
 
8.4%
2 2549
 
7.8%
- 2429
 
7.4%
1 2357
 
7.2%
B 2038
 
6.2%
L 1806
 
5.5%
3 1282
 
3.9%
( 1090
 
3.3%
) 1090
 
3.3%
Other values (19) 4757
14.6%
Hangul
ValueCountFrequency (%)
4977
 
8.7%
4853
 
8.5%
3594
 
6.3%
3218
 
5.7%
3130
 
5.5%
3061
 
5.4%
2949
 
5.2%
1393
 
2.4%
972
 
1.7%
837
 
1.5%
Other values (216) 27944
49.1%
Distinct303
Distinct (%)5.3%
Missing46
Missing (%)0.8%
Memory size45.2 KiB
2023-12-13T03:01:39.185867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length14.2106
Min length6

Characters and Unicode

Total characters81242
Distinct characters238
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

Unique0 ?
Unique (%)0.0%

Sample

1st row반곡동 일대
2nd row반곡동 일대
3rd row반곡동 일대
4th row반곡동 일대
5th row반곡동 일대
ValueCountFrequency (%)
경기도 2658
 
13.3%
일대 820
 
4.1%
화성시 464
 
2.3%
시흥시 310
 
1.5%
하남시 262
 
1.3%
경상남도 260
 
1.3%
서울특별시 240
 
1.2%
파주시 230
 
1.1%
충청남도 204
 
1.0%
양주시 198
 
1.0%
Other values (530) 14375
71.8%
2023-12-13T03:01:39.763047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15108
 
18.6%
5077
 
6.2%
3841
 
4.7%
3563
 
4.4%
3014
 
3.7%
2840
 
3.5%
1941
 
2.4%
1 1921
 
2.4%
1819
 
2.2%
1569
 
1.9%
Other values (228) 40549
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57853
71.2%
Space Separator 15108
 
18.6%
Decimal Number 7697
 
9.5%
Dash Punctuation 512
 
0.6%
Uppercase Letter 72
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5077
 
8.8%
3841
 
6.6%
3563
 
6.2%
3014
 
5.2%
2840
 
4.9%
1941
 
3.4%
1819
 
3.1%
1569
 
2.7%
1452
 
2.5%
1150
 
2.0%
Other values (212) 31587
54.6%
Decimal Number
ValueCountFrequency (%)
1 1921
25.0%
2 1190
15.5%
6 694
 
9.0%
9 634
 
8.2%
7 591
 
7.7%
8 567
 
7.4%
5 540
 
7.0%
3 534
 
6.9%
0 528
 
6.9%
4 498
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
A 58
80.6%
B 6
 
8.3%
L 4
 
5.6%
S 4
 
5.6%
Space Separator
ValueCountFrequency (%)
15108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 512
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57853
71.2%
Common 23317
28.7%
Latin 72
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5077
 
8.8%
3841
 
6.6%
3563
 
6.2%
3014
 
5.2%
2840
 
4.9%
1941
 
3.4%
1819
 
3.1%
1569
 
2.7%
1452
 
2.5%
1150
 
2.0%
Other values (212) 31587
54.6%
Common
ValueCountFrequency (%)
15108
64.8%
1 1921
 
8.2%
2 1190
 
5.1%
6 694
 
3.0%
9 634
 
2.7%
7 591
 
2.5%
8 567
 
2.4%
5 540
 
2.3%
3 534
 
2.3%
0 528
 
2.3%
Other values (2) 1010
 
4.3%
Latin
ValueCountFrequency (%)
A 58
80.6%
B 6
 
8.3%
L 4
 
5.6%
S 4
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57853
71.2%
ASCII 23389
28.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15108
64.6%
1 1921
 
8.2%
2 1190
 
5.1%
6 694
 
3.0%
9 634
 
2.7%
7 591
 
2.5%
8 567
 
2.4%
5 540
 
2.3%
3 534
 
2.3%
0 528
 
2.3%
Other values (6) 1082
 
4.6%
Hangul
ValueCountFrequency (%)
5077
 
8.8%
3841
 
6.6%
3563
 
6.2%
3014
 
5.2%
2840
 
4.9%
1941
 
3.4%
1819
 
3.1%
1569
 
2.7%
1452
 
2.5%
1150
 
2.0%
Other values (212) 31587
54.6%
Distinct104
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
2023-12-13T03:01:40.156523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9930592
Min length1

Characters and Unicode

Total characters34538
Distinct characters33
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

Unique0 ?
Unique (%)0.0%

Sample

1st row15-Dec
2nd row15-Dec
3rd row15-Dec
4th row15-Dec
5th row16-Dec
ValueCountFrequency (%)
17-dec 380
 
6.6%
18-nov 306
 
5.3%
17-feb 252
 
4.4%
14-aug 190
 
3.3%
20-feb 170
 
2.9%
17-nov 162
 
2.8%
17-jul 144
 
2.5%
18-feb 140
 
2.4%
17-oct 138
 
2.4%
18-dec 136
 
2.4%
Other values (94) 3745
65.0%
2023-12-13T03:01:40.727187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5763
16.7%
1 4363
 
12.6%
2 2279
 
6.6%
e 2028
 
5.9%
u 1482
 
4.3%
7 1412
 
4.1%
c 1318
 
3.8%
J 1173
 
3.4%
8 994
 
2.9%
a 857
 
2.5%
Other values (23) 12869
37.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11510
33.3%
Lowercase Letter 11510
33.3%
Dash Punctuation 5763
16.7%
Uppercase Letter 5755
16.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2028
17.6%
u 1482
12.9%
c 1318
11.5%
a 857
7.4%
b 774
 
6.7%
n 691
 
6.0%
v 680
 
5.9%
o 680
 
5.9%
g 662
 
5.8%
p 644
 
5.6%
Other values (4) 1694
14.7%
Decimal Number
ValueCountFrequency (%)
1 4363
37.9%
2 2279
19.8%
7 1412
 
12.3%
8 994
 
8.6%
9 752
 
6.5%
0 620
 
5.4%
3 402
 
3.5%
6 338
 
2.9%
4 242
 
2.1%
5 108
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
J 1173
20.4%
A 814
14.1%
F 774
13.4%
D 762
13.2%
N 680
11.8%
O 556
9.7%
M 504
8.8%
S 492
8.5%
Dash Punctuation
ValueCountFrequency (%)
- 5763
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17273
50.0%
Latin 17265
50.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2028
 
11.7%
u 1482
 
8.6%
c 1318
 
7.6%
J 1173
 
6.8%
a 857
 
5.0%
A 814
 
4.7%
F 774
 
4.5%
b 774
 
4.5%
D 762
 
4.4%
n 691
 
4.0%
Other values (12) 6592
38.2%
Common
ValueCountFrequency (%)
- 5763
33.4%
1 4363
25.3%
2 2279
 
13.2%
7 1412
 
8.2%
8 994
 
5.8%
9 752
 
4.4%
0 620
 
3.6%
3 402
 
2.3%
6 338
 
2.0%
4 242
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34538
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5763
16.7%
1 4363
 
12.6%
2 2279
 
6.6%
e 2028
 
5.9%
u 1482
 
4.3%
7 1412
 
4.1%
c 1318
 
3.8%
J 1173
 
3.4%
8 994
 
2.9%
a 857
 
2.5%
Other values (23) 12869
37.3%

총 상가수
Real number (ℝ)

Distinct28
Distinct (%)0.5%
Missing8
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean11.270026
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.8 KiB
2023-12-13T03:01:40.887616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median8
Q311
95-th percentile36
Maximum67
Range66
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.162733
Coefficient of variation (CV)0.99047976
Kurtosis6.8307901
Mean11.270026
Median Absolute Deviation (MAD)3
Skewness2.5153732
Sum64859
Variance124.6066
MonotonicityNot monotonic
2023-12-13T03:01:41.059507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
8 1024
17.8%
6 620
10.8%
5 580
10.1%
7 467
 
8.1%
4 466
 
8.1%
10 358
 
6.2%
3 350
 
6.1%
9 244
 
4.2%
15 240
 
4.2%
44 192
 
3.3%
Other values (18) 1214
21.1%
ValueCountFrequency (%)
1 92
 
1.6%
2 76
 
1.3%
3 350
 
6.1%
4 466
8.1%
5 580
10.1%
6 620
10.8%
7 467
8.1%
8 1024
17.8%
9 244
 
4.2%
10 358
 
6.2%
ValueCountFrequency (%)
67 58
 
1.0%
44 192
3.3%
37 8
 
0.1%
36 72
 
1.2%
35 106
1.8%
32 32
 
0.6%
30 104
1.8%
29 66
 
1.1%
25 30
 
0.5%
21 74
 
1.3%

주택유형
Categorical

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
공공임대(10년)
1533 
혼합
1444 
공공분양
1094 
행복주택
1058 
국민임대
504 
Other values (4)
 
130

Length

Max length9
Median length8
Mean length4.8330731
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국민임대
2nd row국민임대
3rd row국민임대
4th row국민임대
5th row공공임대(10년)

Common Values

ValueCountFrequency (%)
공공임대(10년) 1533
26.6%
혼합 1444
25.1%
공공분양 1094
19.0%
행복주택 1058
18.4%
국민임대 504
 
8.7%
<NA> 114
 
2.0%
분양상가 8
 
0.1%
공공임대(분납) 6
 
0.1%
장기전세 2
 
< 0.1%

Length

2023-12-13T03:01:41.248544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:01:41.410647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공임대(10년 1533
26.6%
혼합 1444
25.1%
공공분양 1094
19.0%
행복주택 1058
18.4%
국민임대 504
 
8.7%
na 114
 
2.0%
분양상가 8
 
0.1%
공공임대(분납 6
 
0.1%
장기전세 2
 
< 0.1%

주택면적규모최소
Real number (ℝ)

MISSING 

Distinct357
Distinct (%)6.3%
Missing114
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean63.055598
Minimum2
Maximum111.1727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.8 KiB
2023-12-13T03:01:41.611681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile25.8344
Q135.1337
median71.6507
Q382.4455
95-th percentile100.0788
Maximum111.1727
Range109.1727
Interquartile range (IQR)47.3118

Descriptive statistics

Standard deviation27.153797
Coefficient of variation (CV)0.43063262
Kurtosis-1.4804318
Mean63.055598
Median Absolute Deviation (MAD)26.8363
Skewness-0.13602611
Sum356201.07
Variance737.3287
MonotonicityNot monotonic
2023-12-13T03:01:41.793567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.3663 190
 
3.3%
26.9035 136
 
2.4%
30.8421 112
 
1.9%
28.179 106
 
1.8%
79.9208 80
 
1.4%
79.9681 72
 
1.2%
38.67 72
 
1.2%
54.7393 68
 
1.2%
25.9058 66
 
1.1%
92.9185 66
 
1.1%
Other values (347) 4681
81.2%
(Missing) 114
 
2.0%
ValueCountFrequency (%)
2.0 20
0.3%
23.8787 24
0.4%
24.0773 4
 
0.1%
24.3999 32
0.6%
24.5536 6
 
0.1%
24.5887 8
 
0.1%
24.8744 4
 
0.1%
24.9133 8
 
0.1%
24.9443 6
 
0.1%
24.9626 4
 
0.1%
ValueCountFrequency (%)
111.1727 8
 
0.1%
108.9723 14
0.2%
107.3867 12
0.2%
106.5841 16
0.3%
103.2264 14
0.2%
102.1154 16
0.3%
101.8553 10
0.2%
101.7893 10
0.2%
101.6442 24
0.4%
101.569 8
 
0.1%

주택면적규모최대
Real number (ℝ)

MISSING 

Distinct357
Distinct (%)6.3%
Missing114
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean103.89704
Minimum2
Maximum1470.6546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.8 KiB
2023-12-13T03:01:41.991835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile56.2804
Q169.6236
median81.8773
Q3112.1847
95-th percentile129.6836
Maximum1470.6546
Range1468.6546
Interquartile range (IQR)42.5611

Descriptive statistics

Standard deviation150.46481
Coefficient of variation (CV)1.4482108
Kurtosis76.642501
Mean103.89704
Median Absolute Deviation (MAD)22.1801
Skewness8.7528478
Sum586914.39
Variance22639.66
MonotonicityNot monotonic
2023-12-13T03:01:42.146140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.6836 190
 
3.3%
58.5357 136
 
2.4%
69.3234 112
 
1.9%
71.5139 106
 
1.8%
113.2512 80
 
1.4%
80.6782 72
 
1.2%
49.3116 72
 
1.2%
114.7559 68
 
1.2%
68.9644 66
 
1.1%
1470.6546 66
 
1.1%
Other values (347) 4681
81.2%
(Missing) 114
 
2.0%
ValueCountFrequency (%)
2.0 20
 
0.3%
49.3116 72
1.2%
51.068 4
 
0.1%
51.7549 6
 
0.1%
52.1921 24
 
0.4%
52.5997 4
 
0.1%
53.6405 4
 
0.1%
53.9462 6
 
0.1%
54.3184 22
 
0.4%
54.4477 32
0.6%
ValueCountFrequency (%)
1470.6546 66
 
1.1%
166.9062 16
 
0.3%
160.4314 2
 
< 0.1%
159.9159 4
 
0.1%
154.4464 2
 
< 0.1%
154.3608 2
 
< 0.1%
144.2506 2
 
< 0.1%
129.6836 190
3.3%
119.6821 10
 
0.2%
118.4222 34
 
0.6%

주택세대수
Real number (ℝ)

MISSING 

Distinct296
Distinct (%)5.2%
Missing114
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean915.22588
Minimum0
Maximum4086
Zeros20
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size50.8 KiB
2023-12-13T03:01:42.326163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile200
Q1562
median839
Q31201
95-th percentile1700
Maximum4086
Range4086
Interquartile range (IQR)639

Descriptive statistics

Standard deviation583.44535
Coefficient of variation (CV)0.63748782
Kurtosis8.797102
Mean915.22588
Median Absolute Deviation (MAD)323
Skewness2.0904555
Sum5170111
Variance340408.48
MonotonicityNot monotonic
2023-12-13T03:01:42.531829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204 190
 
3.3%
45 138
 
2.4%
1530 136
 
2.4%
362 124
 
2.2%
748 124
 
2.2%
434 86
 
1.5%
1422 80
 
1.4%
890 70
 
1.2%
4086 68
 
1.2%
990 64
 
1.1%
Other values (286) 4569
79.3%
(Missing) 114
 
2.0%
ValueCountFrequency (%)
0 20
 
0.3%
45 138
2.4%
70 16
 
0.3%
99 2
 
< 0.1%
100 42
 
0.7%
160 8
 
0.1%
166 10
 
0.2%
182 10
 
0.2%
198 6
 
0.1%
200 34
 
0.6%
ValueCountFrequency (%)
4086 68
1.2%
2568 20
 
0.3%
2334 24
 
0.4%
2200 28
0.5%
2147 16
 
0.3%
2127 14
 
0.2%
1934 20
 
0.3%
1890 2
 
< 0.1%
1812 14
 
0.2%
1763 34
0.6%
Distinct555
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
Minimum2016-02-22 10:00:00
Maximum2023-08-25 10:00:00
2023-12-13T03:01:42.765240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:01:42.985549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct559
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
Minimum2016-02-22 16:00:00
Maximum2023-08-25 16:00:00
2023-12-13T03:01:43.163895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:01:43.358818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct566
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
Minimum2016-02-22 18:00:00
Maximum2023-08-25 18:00:00
2023-12-13T03:01:43.629427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:01:43.834082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)


Text

Distinct153
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
2023-12-13T03:01:44.161440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7251432
Min length1

Characters and Unicode

Total characters15705
Distinct characters14
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

Unique0 ?
Unique (%)0.0%

Sample

1st row203
2nd row203
3rd row202
4th row202
5th row102
ValueCountFrequency (%)
101 658
 
11.4%
102 632
 
11.0%
103 558
 
9.7%
104 486
 
8.4%
105 384
 
6.7%
106 272
 
4.7%
107 182
 
3.2%
202 160
 
2.8%
1 152
 
2.6%
203 148
 
2.6%
Other values (143) 2131
37.0%
2023-12-13T03:01:44.622743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5478
34.9%
0 4364
27.8%
2 2108
 
13.4%
3 1002
 
6.4%
4 806
 
5.1%
5 637
 
4.1%
6 446
 
2.8%
7 334
 
2.1%
8 252
 
1.6%
9 160
 
1.0%
Other values (4) 118
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15587
99.2%
Uppercase Letter 100
 
0.6%
Other Letter 18
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5478
35.1%
0 4364
28.0%
2 2108
 
13.5%
3 1002
 
6.4%
4 806
 
5.2%
5 637
 
4.1%
6 446
 
2.9%
7 334
 
2.1%
8 252
 
1.6%
9 160
 
1.0%
Other Letter
ValueCountFrequency (%)
6
33.3%
6
33.3%
6
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15587
99.2%
Latin 100
 
0.6%
Hangul 18
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5478
35.1%
0 4364
28.0%
2 2108
 
13.5%
3 1002
 
6.4%
4 806
 
5.2%
5 637
 
4.1%
6 446
 
2.9%
7 334
 
2.1%
8 252
 
1.6%
9 160
 
1.0%
Hangul
ValueCountFrequency (%)
6
33.3%
6
33.3%
6
33.3%
Latin
ValueCountFrequency (%)
B 100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15687
99.9%
Hangul 18
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5478
34.9%
0 4364
27.8%
2 2108
 
13.4%
3 1002
 
6.4%
4 806
 
5.1%
5 637
 
4.1%
6 446
 
2.8%
7 334
 
2.1%
8 252
 
1.6%
9 160
 
1.0%
Hangul
ValueCountFrequency (%)
6
33.3%
6
33.3%
6
33.3%


Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
1
4712 
2
977 
-1
 
60
3
 
14

Length

Max length2
Median length1
Mean length1.0104112
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 4712
81.8%
2 977
 
17.0%
-1 60
 
1.0%
3 14
 
0.2%

Length

2023-12-13T03:01:44.785387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:01:44.914044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4772
82.8%
2 977
 
17.0%
3 14
 
0.2%

전용면적
Real number (ℝ)

Distinct820
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.855569
Minimum18.72
Maximum425.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.8 KiB
2023-12-13T03:01:45.432686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.72
5-th percentile28.38
Q132.76
median36.05
Q345.3
95-th percentile90.053
Maximum425.46
Range406.74
Interquartile range (IQR)12.54

Descriptive statistics

Standard deviation25.166172
Coefficient of variation (CV)0.56104899
Kurtosis55.194882
Mean44.855569
Median Absolute Deviation (MAD)4.51
Skewness5.4120739
Sum258502.65
Variance633.33621
MonotonicityNot monotonic
2023-12-13T03:01:45.601797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.0 270
 
4.7%
32.0 164
 
2.8%
31.5 144
 
2.5%
35.0 124
 
2.2%
33.75 116
 
2.0%
40.0 90
 
1.6%
32.4 82
 
1.4%
33.6 78
 
1.4%
40.5 78
 
1.4%
38.25 60
 
1.0%
Other values (810) 4557
79.1%
ValueCountFrequency (%)
18.72 2
 
< 0.1%
20.79 2
 
< 0.1%
21.07 2
 
< 0.1%
21.6 2
 
< 0.1%
22.31 2
 
< 0.1%
22.4 14
0.2%
22.57 2
 
< 0.1%
22.73 2
 
< 0.1%
23.24 10
0.2%
23.4 4
 
0.1%
ValueCountFrequency (%)
425.46 4
0.1%
376.37 2
< 0.1%
273.06 2
< 0.1%
224.92 2
< 0.1%
216.37 4
0.1%
210.99 2
< 0.1%
210.87 2
< 0.1%
207.67 4
0.1%
166.97 2
< 0.1%
161.54 4
0.1%

분양면적
Real number (ℝ)

Distinct1094
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.499729
Minimum25.72
Maximum627.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.8 KiB
2023-12-13T03:01:45.757342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.72
5-th percentile34.4823
Q140.5987
median47.2762
Q359.82
95-th percentile164.306
Maximum627.7
Range601.98
Interquartile range (IQR)19.2213

Descriptive statistics

Standard deviation50.177339
Coefficient of variation (CV)0.77794651
Kurtosis18.833675
Mean64.499729
Median Absolute Deviation (MAD)8.2591
Skewness3.7356831
Sum371711.94
Variance2517.7654
MonotonicityNot monotonic
2023-12-13T03:01:45.897400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.2762 42
 
0.7%
44.0928 30
 
0.5%
41.1454 28
 
0.5%
39.58 26
 
0.5%
44.816 26
 
0.5%
53.5858 26
 
0.5%
59.775 26
 
0.5%
56.8193 24
 
0.4%
59.081 24
 
0.4%
99.6405 24
 
0.4%
Other values (1084) 5487
95.2%
ValueCountFrequency (%)
25.72 2
 
< 0.1%
25.7822 2
 
< 0.1%
26.3401 2
 
< 0.1%
27.05 2
 
< 0.1%
28.8125 16
0.3%
29.245 2
 
< 0.1%
29.2562 2
 
< 0.1%
29.4 4
 
0.1%
29.67 2
 
< 0.1%
30.2952 2
 
< 0.1%
ValueCountFrequency (%)
627.7 2
 
< 0.1%
438.6924 4
0.1%
425.46 4
0.1%
397.5679 4
0.1%
395.0005 2
 
< 0.1%
393.9254 4
0.1%
360.2574 4
0.1%
357.0334 6
0.1%
312.3308 2
 
< 0.1%
310.8909 2
 
< 0.1%

부가세율
Real number (ℝ)

ZEROS 

Distinct355
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03883507
Minimum0
Maximum0.090909158
Zeros210
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size50.8 KiB
2023-12-13T03:01:46.042555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.013636364
Q10.022727272
median0.027272729
Q30.056804607
95-th percentile0.090909083
Maximum0.090909158
Range0.090909158
Interquartile range (IQR)0.034077335

Descriptive statistics

Standard deviation0.023104179
Coefficient of variation (CV)0.59493079
Kurtosis-0.29060466
Mean0.03883507
Median Absolute Deviation (MAD)0.009090912
Skewness0.74608836
Sum223.80651
Variance0.00053380308
MonotonicityNot monotonic
2023-12-13T03:01:46.181849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.027272727 338
 
5.9%
0.027272728 312
 
5.4%
0.027272726 210
 
3.6%
0.0 210
 
3.6%
0.018181819 202
 
3.5%
0.018181818 182
 
3.2%
0.018181817 160
 
2.8%
0.022727272 148
 
2.6%
0.045454546 138
 
2.4%
0.022727274 134
 
2.3%
Other values (345) 3729
64.7%
ValueCountFrequency (%)
0.0 210
3.6%
0.01090909 6
 
0.1%
0.010909091 4
 
0.1%
0.010909092 6
 
0.1%
0.013636362 4
 
0.1%
0.013636363 38
 
0.7%
0.013636364 50
 
0.9%
0.013636365 44
 
0.8%
0.013636366 2
 
< 0.1%
0.016115705 10
 
0.2%
ValueCountFrequency (%)
0.090909158 4
 
0.1%
0.090909155 4
 
0.1%
0.090909143 4
 
0.1%
0.090909136 2
 
< 0.1%
0.090909132 2
 
< 0.1%
0.090909129 4
 
0.1%
0.090909128 2
 
< 0.1%
0.090909123 4
 
0.1%
0.090909122 18
0.3%
0.090909121 4
 
0.1%

예정가격
Real number (ℝ)

Distinct1045
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5321464 × 108
Minimum231800
Maximum2.554 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.8 KiB
2023-12-13T03:01:46.345877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum231800
5-th percentile15456000
Q11.41 × 108
median2.342 × 108
Q33.16 × 108
95-th percentile5.458 × 108
Maximum2.554 × 109
Range2.5537682 × 109
Interquartile range (IQR)1.75 × 108

Descriptive statistics

Standard deviation1.9947713 × 108
Coefficient of variation (CV)0.78777882
Kurtosis19.730772
Mean2.5321464 × 108
Median Absolute Deviation (MAD)87800000
Skewness3.1497854
Sum1.459276 × 1012
Variance3.9791127 × 1016
MonotonicityNot monotonic
2023-12-13T03:01:46.493588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262000000 50
 
0.9%
316000000 46
 
0.8%
222000000 44
 
0.8%
322000000 42
 
0.7%
220000000 40
 
0.7%
118000000 40
 
0.7%
271000000 40
 
0.7%
346000000 30
 
0.5%
110000000 30
 
0.5%
204000000 28
 
0.5%
Other values (1035) 5373
93.2%
ValueCountFrequency (%)
231800 2
 
< 0.1%
264100 2
 
< 0.1%
3744000 2
 
< 0.1%
4608000 2
 
< 0.1%
4968000 4
0.1%
5352000 6
0.1%
5472000 2
 
< 0.1%
6792000 4
0.1%
6822000 2
 
< 0.1%
7056000 4
0.1%
ValueCountFrequency (%)
2554000000 2
< 0.1%
2126917100 2
< 0.1%
1968000000 2
< 0.1%
1880000000 4
0.1%
1863000000 2
< 0.1%
1547000000 2
< 0.1%
1400000000 2
< 0.1%
1306000000 4
0.1%
1271000000 4
0.1%
1243000000 2
< 0.1%

계약금비율(퍼센트)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
20
5531 
10
 
230
99
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row20
3rd row20
4th row20
5th row20

Common Values

ValueCountFrequency (%)
20 5531
96.0%
10 230
 
4.0%
99 2
 
< 0.1%

Length

2023-12-13T03:01:46.648375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:01:46.746594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 5531
96.0%
10 230
 
4.0%
99 2
 
< 0.1%

중도금비율(퍼센트)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
0
3625 
30
2096 
40
 
32
81
 
6
75
 
4

Length

Max length2
Median length1
Mean length1.3709873
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row30

Common Values

ValueCountFrequency (%)
0 3625
62.9%
30 2096
36.4%
40 32
 
0.6%
81 6
 
0.1%
75 4
 
0.1%

Length

2023-12-13T03:01:46.847112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:01:46.942713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3625
62.9%
30 2096
36.4%
40 32
 
0.6%
81 6
 
0.1%
75 4
 
0.1%

잔금비율(퍼센트)
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.102204
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.8 KiB
2023-12-13T03:01:47.030807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50
Q150
median80
Q380
95-th percentile80
Maximum90
Range89
Interquartile range (IQR)30

Descriptive statistics

Standard deviation15.073595
Coefficient of variation (CV)0.21813479
Kurtosis-1.2408029
Mean69.102204
Median Absolute Deviation (MAD)0
Skewness-0.56971316
Sum398236
Variance227.21326
MonotonicityNot monotonic
2023-12-13T03:01:47.125255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
80 3435
59.6%
50 2128
36.9%
90 188
 
3.3%
9 6
 
0.1%
15 4
 
0.1%
1 2
 
< 0.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
9 6
 
0.1%
15 4
 
0.1%
50 2128
36.9%
80 3435
59.6%
90 188
 
3.3%
ValueCountFrequency (%)
90 188
 
3.3%
80 3435
59.6%
50 2128
36.9%
15 4
 
0.1%
9 6
 
0.1%
1 2
 
< 0.1%
Distinct247
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
2023-12-13T03:01:47.347366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length38.604546
Min length25

Characters and Unicode

Total characters222478
Distinct characters219
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도 원주시 양지로 36(반곡동 혁신도시 역사관) 반곡동 1300번지(LH 강원혁신도시사업단 내 강원판매부)
2nd row강원도 원주시 양지로 36(반곡동 혁신도시 역사관) 반곡동 1300번지(LH 강원혁신도시사업단 내 강원판매부)
3rd row강원도 원주시 양지로 36(반곡동 혁신도시 역사관) 반곡동 1300번지(LH 강원혁신도시사업단 내 강원판매부)
4th row강원도 원주시 양지로 36(반곡동 혁신도시 역사관) 반곡동 1300번지(LH 강원혁신도시사업단 내 강원판매부)
5th row강원도 원주시 양지로 36(반곡동 혁신도시 역사관 ) 반곡동 1300번지 LH 강원혁신도시사업단 내 강원판매부
ValueCountFrequency (%)
경기도 2316
 
5.8%
lh 1820
 
4.6%
1층 1577
 
4.0%
판매부 1556
 
3.9%
주택판매부 1132
 
2.9%
성남시 942
 
2.4%
서울특별시 900
 
2.3%
서구 770
 
1.9%
분당구 750
 
1.9%
3(구미동 742
 
1.9%
Other values (312) 27195
68.5%
2023-12-13T03:01:47.799683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34595
 
15.5%
8326
 
3.7%
1 8273
 
3.7%
6929
 
3.1%
) 6599
 
3.0%
( 6599
 
3.0%
6581
 
3.0%
5831
 
2.6%
2 5255
 
2.4%
5246
 
2.4%
Other values (209) 128244
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143372
64.4%
Space Separator 34595
 
15.5%
Decimal Number 25571
 
11.5%
Close Punctuation 6599
 
3.0%
Open Punctuation 6599
 
3.0%
Uppercase Letter 5124
 
2.3%
Dash Punctuation 518
 
0.2%
Lowercase Letter 76
 
< 0.1%
Other Punctuation 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8326
 
5.8%
6929
 
4.8%
6581
 
4.6%
5831
 
4.1%
5246
 
3.7%
4939
 
3.4%
4446
 
3.1%
4276
 
3.0%
4252
 
3.0%
4155
 
2.9%
Other values (183) 88391
61.7%
Decimal Number
ValueCountFrequency (%)
1 8273
32.4%
2 5255
20.6%
4 2421
 
9.5%
3 2234
 
8.7%
5 1921
 
7.5%
0 1907
 
7.5%
6 1116
 
4.4%
8 1102
 
4.3%
7 708
 
2.8%
9 634
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
L 2526
49.3%
H 2520
49.2%
F 54
 
1.1%
E 6
 
0.1%
T 6
 
0.1%
B 4
 
0.1%
Y 4
 
0.1%
C 4
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
l 38
50.0%
h 38
50.0%
Other Punctuation
ValueCountFrequency (%)
. 18
75.0%
: 6
 
25.0%
Space Separator
ValueCountFrequency (%)
34595
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6599
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 518
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143372
64.4%
Common 73906
33.2%
Latin 5200
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8326
 
5.8%
6929
 
4.8%
6581
 
4.6%
5831
 
4.1%
5246
 
3.7%
4939
 
3.4%
4446
 
3.1%
4276
 
3.0%
4252
 
3.0%
4155
 
2.9%
Other values (183) 88391
61.7%
Common
ValueCountFrequency (%)
34595
46.8%
1 8273
 
11.2%
) 6599
 
8.9%
( 6599
 
8.9%
2 5255
 
7.1%
4 2421
 
3.3%
3 2234
 
3.0%
5 1921
 
2.6%
0 1907
 
2.6%
6 1116
 
1.5%
Other values (6) 2986
 
4.0%
Latin
ValueCountFrequency (%)
L 2526
48.6%
H 2520
48.5%
F 54
 
1.0%
l 38
 
0.7%
h 38
 
0.7%
E 6
 
0.1%
T 6
 
0.1%
B 4
 
0.1%
Y 4
 
0.1%
C 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143372
64.4%
ASCII 79106
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34595
43.7%
1 8273
 
10.5%
) 6599
 
8.3%
( 6599
 
8.3%
2 5255
 
6.6%
L 2526
 
3.2%
H 2520
 
3.2%
4 2421
 
3.1%
3 2234
 
2.8%
5 1921
 
2.4%
Other values (16) 6163
 
7.8%
Hangul
ValueCountFrequency (%)
8326
 
5.8%
6929
 
4.8%
6581
 
4.6%
5831
 
4.1%
5246
 
3.7%
4939
 
3.4%
4446
 
3.1%
4276
 
3.0%
4252
 
3.0%
4155
 
2.9%
Other values (183) 88391
61.7%

동일련번호
Real number (ℝ)

SKEWED 

Distinct64
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17352095
Minimum1
Maximum1 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.8 KiB
2023-12-13T03:01:47.967918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q110
median18
Q328
95-th percentile56
Maximum1 × 1010
Range1 × 1010
Interquartile range (IQR)18

Descriptive statistics

Standard deviation4.1623275 × 108
Coefficient of variation (CV)23.987464
Kurtosis571.79875
Mean17352095
Median Absolute Deviation (MAD)9
Skewness23.949954
Sum1.0000012 × 1011
Variance1.732497 × 1017
MonotonicityNot monotonic
2023-12-13T03:01:48.124904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 356
 
6.2%
13 272
 
4.7%
17 224
 
3.9%
18 222
 
3.9%
15 200
 
3.5%
22 198
 
3.4%
8 186
 
3.2%
20 184
 
3.2%
4 176
 
3.1%
5 168
 
2.9%
Other values (54) 3577
62.1%
ValueCountFrequency (%)
1 120
 
2.1%
2 92
 
1.6%
3 60
 
1.0%
4 176
3.1%
5 168
2.9%
6 148
2.6%
7 356
6.2%
8 186
3.2%
9 126
 
2.2%
10 126
 
2.2%
ValueCountFrequency (%)
9999999999 2
 
< 0.1%
9999999991 8
 
0.1%
89 12
 
0.2%
80 106
1.8%
78 42
 
0.7%
76 4
 
0.1%
74 28
 
0.5%
68 24
 
0.4%
67 16
 
0.3%
63 12
 
0.2%

계약금납부기한내용
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
계약 체결시
5763 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계약 체결시
2nd row계약 체결시
3rd row계약 체결시
4th row계약 체결시
5th row계약 체결시

Common Values

ValueCountFrequency (%)
계약 체결시 5763
100.0%

Length

2023-12-13T03:01:48.268169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:01:48.370237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계약 5763
50.0%
체결시 5763
50.0%

중도금납부기한내용
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
중도금없음
3461 
계약체결기간종료일로부터 3개월이내
1170 
계약체결기간종료일로부터 2개월이내
366 
없음
 
124
계약체결기간종료일로부터 4개월이내
 
108
Other values (17)
534 

Length

Max length28
Median length5
Mean length9.7405865
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중도금없음
2nd row중도금없음
3rd row중도금없음
4th row중도금없음
5th row계약체결기간종료일로부터 3개월이내

Common Values

ValueCountFrequency (%)
중도금없음 3461
60.1%
계약체결기간종료일로부터 3개월이내 1170
 
20.3%
계약체결기간종료일로부터 2개월이내 366
 
6.4%
없음 124
 
2.2%
계약체결기간종료일로부터 4개월이내 108
 
1.9%
계약체결기간종료일로부터 3개월(2018.08.02) 76
 
1.3%
계약일로부터 3개월이내 72
 
1.2%
계약체결기간종료일로부터 5개월이내 68
 
1.2%
계약체결기간종료일로부터 6개월이내 50
 
0.9%
계약일로부터 3개월 이내 46
 
0.8%
Other values (12) 222
 
3.9%

Length

2023-12-13T03:01:48.484677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중도금없음 3461
42.8%
계약체결기간종료일로부터 1898
23.5%
3개월이내 1250
 
15.4%
2개월이내 366
 
4.5%
없음 162
 
2.0%
계약일로부터 154
 
1.9%
3개월 148
 
1.8%
4개월이내 108
 
1.3%
이내 88
 
1.1%
3개월(2018.08.02 76
 
0.9%
Other values (17) 380
 
4.7%
Distinct64
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size45.2 KiB
2023-12-13T03:01:48.724723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length7
Mean length8.380531
Min length5

Characters and Unicode

Total characters48297
Distinct characters72
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row입점지정기간내
2nd row입점지정기간내
3rd row입점지정기간내
4th row입점지정기간내
5th row입점지정기간내
ValueCountFrequency (%)
입점지정기간내 4909
66.8%
이내 308
 
4.2%
계약체결일로부터 286
 
3.9%
6개월 196
 
2.7%
계약일로부터 178
 
2.4%
6개월이내 96
 
1.3%
종료일로부터 94
 
1.3%
계약체결기간 94
 
1.3%
상가 86
 
1.2%
3개월 78
 
1.1%
Other values (63) 1022
 
13.9%
2023-12-13T03:01:49.209837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5593
11.6%
5221
10.8%
5199
10.8%
5097
10.6%
5093
10.5%
5073
10.5%
5073
10.5%
1864
 
3.9%
800
 
1.7%
708
 
1.5%
Other values (62) 8576
17.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44647
92.4%
Space Separator 1864
 
3.9%
Decimal Number 1420
 
2.9%
Other Punctuation 212
 
0.4%
Open Punctuation 80
 
0.2%
Close Punctuation 66
 
0.1%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5593
12.5%
5221
11.7%
5199
11.6%
5097
11.4%
5093
11.4%
5073
11.4%
5073
11.4%
800
 
1.8%
708
 
1.6%
684
 
1.5%
Other values (46) 6106
13.7%
Decimal Number
ValueCountFrequency (%)
6 324
22.8%
0 264
18.6%
3 204
14.4%
1 172
12.1%
2 170
12.0%
5 126
 
8.9%
8 72
 
5.1%
7 54
 
3.8%
9 22
 
1.5%
4 12
 
0.8%
Other Punctuation
ValueCountFrequency (%)
% 148
69.8%
. 64
30.2%
Space Separator
ValueCountFrequency (%)
1864
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44647
92.4%
Common 3650
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5593
12.5%
5221
11.7%
5199
11.6%
5097
11.4%
5093
11.4%
5073
11.4%
5073
11.4%
800
 
1.8%
708
 
1.6%
684
 
1.5%
Other values (46) 6106
13.7%
Common
ValueCountFrequency (%)
1864
51.1%
6 324
 
8.9%
0 264
 
7.2%
3 204
 
5.6%
1 172
 
4.7%
2 170
 
4.7%
% 148
 
4.1%
5 126
 
3.5%
( 80
 
2.2%
8 72
 
2.0%
Other values (6) 226
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44647
92.4%
ASCII 3650
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5593
12.5%
5221
11.7%
5199
11.6%
5097
11.4%
5093
11.4%
5073
11.4%
5073
11.4%
800
 
1.8%
708
 
1.6%
684
 
1.5%
Other values (46) 6106
13.7%
ASCII
ValueCountFrequency (%)
1864
51.1%
6 324
 
8.9%
0 264
 
7.2%
3 204
 
5.6%
1 172
 
4.7%
2 170
 
4.7%
% 148
 
4.1%
5 126
 
3.5%
( 80
 
2.2%
8 72
 
2.0%
Other values (6) 226
 
6.2%

Sample

지역본부공고명공고종류공고게시일계약체결개시일계약체결종료일공급방법사업지구블록상가명소재지입점시기총 상가수주택유형주택면적규모최소주택면적규모최대주택세대수입찰신청접수개시일시입찰신청접수종료일시개찰결과게시일시전용면적분양면적부가세율예정가격계약금비율(퍼센트)중도금비율(퍼센트)잔금비율(퍼센트)계약장소동일련번호계약금납부기한내용중도금납부기한내용잔금납부기한내용
0강원지사강원혁신A-1블록 단지 내 상가 재입찰 공고일반공고2016-04-082016-04-252016-04-25입찰강원혁신A1강원혁신 A-1블록상가반곡동 일대15-Dec8국민임대45.416878.21549352016-04-19 10:002016-04-19 16:002016-04-19 18:00203244.465.7950.0272738900000020080강원도 원주시 양지로 36(반곡동 혁신도시 역사관) 반곡동 1300번지(LH 강원혁신도시사업단 내 강원판매부)19계약 체결시중도금없음입점지정기간내
1강원지사강원혁신A-1블록 단지 내 상가 재입찰 공고일반공고2016-04-082016-04-252016-04-25입찰강원혁신A1강원혁신 A-1블록상가반곡동 일대15-Dec8국민임대45.416878.21549352016-04-20 10:002016-04-20 16:002016-04-20 18:00203244.465.7950.0272738900000020080강원도 원주시 양지로 36(반곡동 혁신도시 역사관) 반곡동 1300번지(LH 강원혁신도시사업단 내 강원판매부)19계약 체결시중도금없음입점지정기간내
2강원지사강원혁신A-1블록 단지 내 상가 재입찰 공고일반공고2016-04-082016-04-252016-04-25입찰강원혁신A1강원혁신 A-1블록상가반곡동 일대15-Dec8국민임대45.416878.21549352016-04-19 10:002016-04-19 16:002016-04-19 18:00202244.465.7950.0272738900000020080강원도 원주시 양지로 36(반곡동 혁신도시 역사관) 반곡동 1300번지(LH 강원혁신도시사업단 내 강원판매부)19계약 체결시중도금없음입점지정기간내
3강원지사강원혁신A-1블록 단지 내 상가 재입찰 공고일반공고2016-04-082016-04-252016-04-25입찰강원혁신A1강원혁신 A-1블록상가반곡동 일대15-Dec8국민임대45.416878.21549352016-04-20 10:002016-04-20 16:002016-04-20 18:00202244.465.7950.0272738900000020080강원도 원주시 양지로 36(반곡동 혁신도시 역사관) 반곡동 1300번지(LH 강원혁신도시사업단 내 강원판매부)19계약 체결시중도금없음입점지정기간내
4강원지사강원혁신도시 A-2블록 단지 내 상가 신규 입찰 공고일반공고2016-05-132016-05-252016-05-26입찰강원혁신A2강원혁신 A-2블록반곡동 일대16-Dec5공공임대(10년)73.903985.29897562016-05-20 10:002016-05-20 16:002016-05-20 18:00102131.9239.91990.027273120729000203050강원도 원주시 양지로 36(반곡동 혁신도시 역사관 ) 반곡동 1300번지 LH 강원혁신도시사업단 내 강원판매부18계약 체결시계약체결기간종료일로부터 3개월이내입점지정기간내
5강원지사강원혁신도시 A-2블록 단지 내 상가 신규 입찰 공고일반공고2016-05-132016-05-252016-05-26입찰강원혁신A2강원혁신 A-2블록반곡동 일대16-Dec5공공임대(10년)73.903985.29897562016-05-19 10:002016-05-19 16:002016-05-19 18:00102131.9239.91990.027273120729000203050강원도 원주시 양지로 36(반곡동 혁신도시 역사관 ) 반곡동 1300번지 LH 강원혁신도시사업단 내 강원판매부18계약 체결시계약체결기간종료일로부터 3개월이내입점지정기간내
6강원지사강원혁신도시 A-2블록 단지 내 상가 신규 입찰 공고일반공고2016-05-132016-05-252016-05-26입찰강원혁신A2강원혁신 A-2블록반곡동 일대16-Dec5공공임대(10년)73.903985.29897562016-05-20 10:002016-05-20 16:002016-05-20 18:00103131.9239.91990.027273120729000203050강원도 원주시 양지로 36(반곡동 혁신도시 역사관 ) 반곡동 1300번지 LH 강원혁신도시사업단 내 강원판매부18계약 체결시계약체결기간종료일로부터 3개월이내입점지정기간내
7강원지사강원혁신도시 A-2블록 단지 내 상가 신규 입찰 공고일반공고2016-05-132016-05-252016-05-26입찰강원혁신A2강원혁신 A-2블록반곡동 일대16-Dec5공공임대(10년)73.903985.29897562016-05-19 10:002016-05-19 16:002016-05-19 18:00103131.9239.91990.027273120729000203050강원도 원주시 양지로 36(반곡동 혁신도시 역사관 ) 반곡동 1300번지 LH 강원혁신도시사업단 내 강원판매부18계약 체결시계약체결기간종료일로부터 3개월이내입점지정기간내
8강원지사강원혁신도시 A-2블록 단지 내 상가 신규 입찰 공고일반공고2016-05-132016-05-252016-05-26입찰강원혁신A2강원혁신 A-2블록반곡동 일대16-Dec5공공임대(10년)73.903985.29897562016-05-20 10:002016-05-20 16:002016-05-20 18:00105132.6840.87040.027273123603000203050강원도 원주시 양지로 36(반곡동 혁신도시 역사관 ) 반곡동 1300번지 LH 강원혁신도시사업단 내 강원판매부18계약 체결시계약체결기간종료일로부터 3개월이내입점지정기간내
9강원지사강원혁신도시 A-2블록 단지 내 상가 신규 입찰 공고일반공고2016-05-132016-05-252016-05-26입찰강원혁신A2강원혁신 A-2블록반곡동 일대16-Dec5공공임대(10년)73.903985.29897562016-05-19 10:002016-05-19 16:002016-05-19 18:00104131.9239.91990.027273120729000203050강원도 원주시 양지로 36(반곡동 혁신도시 역사관 ) 반곡동 1300번지 LH 강원혁신도시사업단 내 강원판매부18계약 체결시계약체결기간종료일로부터 3개월이내입점지정기간내
지역본부공고명공고종류공고게시일계약체결개시일계약체결종료일공급방법사업지구블록상가명소재지입점시기총 상가수주택유형주택면적규모최소주택면적규모최대주택세대수입찰신청접수개시일시입찰신청접수종료일시개찰결과게시일시전용면적분양면적부가세율예정가격계약금비율(퍼센트)중도금비율(퍼센트)잔금비율(퍼센트)계약장소동일련번호계약금납부기한내용중도금납부기한내용잔금납부기한내용
5753충북지사청주모충2 1BL 단지내상가(잔여2호) 재분양 공고일반공고2022-10-062022-10-262022-10-26입찰청주모충(06 주환1)1LH 트릴로채 단지내상가1충청북도 청주시 서원구 모충동21-Nov3혼합59.6617111.099716922022-10-17 10:002022-10-17 16:002022-10-17 18:00101134.9950.19040.06363632400000020080충청북도 청주시 서원구 구룡산로52번길 40(성화동) LH충북지역본부7계약 체결시중도금없음입점지정기간내
5754충북지사청주모충2 1BL 단지내상가(잔여2호) 재분양 공고일반공고2022-10-062022-10-262022-10-26입찰청주모충(06 주환1)1LH 트릴로채 단지내상가1충청북도 청주시 서원구 모충동21-Nov3혼합59.6617111.099716922022-10-18 10:002022-10-18 16:002022-10-18 18:00101134.9950.19040.06363632400000020080충청북도 청주시 서원구 구룡산로52번길 40(성화동) LH충북지역본부7계약 체결시중도금없음입점지정기간내
5755충북지사청주모충2 1BL 단지내상가(잔여2호) 재분양 공고일반공고2022-10-282022-11-252022-11-25입찰청주모충(06 주환1)1LH 트릴로채 단지내상가1충청북도 청주시 서원구 모충동21-Nov3혼합59.6617111.099716922022-11-10 10:002022-11-10 16:002022-11-10 18:00101134.9950.19040.06363632400000020080충청북도 청주시 서원구 구룡산로52번길 40(성화동) LH충북지역본부7계약 체결시중도금없음입점지정기간내
5756충북지사청주모충2 1BL 단지내상가(잔여2호) 재분양 공고일반공고2022-10-282022-11-252022-11-25입찰청주모충(06 주환1)1LH 트릴로채 단지내상가1충청북도 청주시 서원구 모충동21-Nov3혼합59.6617111.099716922022-11-11 10:002022-11-11 16:002022-11-11 18:00101134.9950.19040.06363632400000020080충청북도 청주시 서원구 구룡산로52번길 40(성화동) LH충북지역본부7계약 체결시중도금없음입점지정기간내
5757충북지사청주모충2 1BL 단지내상가(잔여2호) 재분양 공고일반공고2022-10-282022-11-252022-11-25입찰청주모충(06 주환1)1LH 트릴로채 단지내상가1충청북도 청주시 서원구 모충동21-Nov3혼합59.6617111.099716922022-11-10 10:002022-11-10 16:002022-11-10 18:00102133.9348.66930.06363631400000020080충청북도 청주시 서원구 구룡산로52번길 40(성화동) LH충북지역본부7계약 체결시중도금없음입점지정기간내
5758충북지사청주모충2 1BL 단지내상가(잔여2호) 재분양 공고일반공고2022-10-282022-11-252022-11-25입찰청주모충(06 주환1)1LH 트릴로채 단지내상가1충청북도 청주시 서원구 모충동21-Nov3혼합59.6617111.099716922022-11-11 10:002022-11-11 16:002022-11-11 18:00102133.9348.66930.06363631400000020080충청북도 청주시 서원구 구룡산로52번길 40(성화동) LH충북지역본부7계약 체결시중도금없음입점지정기간내
5759충북지사청주모충2 1BL 단지내상가(잔여2호) 재분양 공고일반공고2022-12-092022-12-302022-12-30입찰청주모충(06 주환1)1LH 트릴로채 단지내상가1충청북도 청주시 서원구 모충동21-Nov3혼합59.6617111.099716922022-12-15 10:002022-12-15 16:002022-12-15 18:00102133.9348.66930.06363631400000010090충청북도 청주시 서원구 구룡산로52번길 40(성화동) LH충북지역본부7계약 체결시중도금없음입점지정기간내
5760충북지사청주모충2 1BL 단지내상가(잔여2호) 재분양 공고일반공고2022-12-092022-12-302022-12-30입찰청주모충(06 주환1)1LH 트릴로채 단지내상가1충청북도 청주시 서원구 모충동21-Nov3혼합59.6617111.099716922022-12-16 10:002022-12-16 16:002022-12-16 18:00102133.9348.66930.06363631400000010090충청북도 청주시 서원구 구룡산로52번길 40(성화동) LH충북지역본부7계약 체결시중도금없음입점지정기간내
5761충북지사청주모충2 1BL 단지내상가(잔여2호) 재분양 공고일반공고2022-12-092022-12-302022-12-30입찰청주모충(06 주환1)1LH 트릴로채 단지내상가1충청북도 청주시 서원구 모충동21-Nov3혼합59.6617111.099716922022-12-15 10:002022-12-15 16:002022-12-15 18:00101134.9950.19040.06363632400000010090충청북도 청주시 서원구 구룡산로52번길 40(성화동) LH충북지역본부7계약 체결시중도금없음입점지정기간내
5762충북지사청주모충2 1BL 단지내상가(잔여2호) 재분양 공고일반공고2022-12-092022-12-302022-12-30입찰청주모충(06 주환1)1LH 트릴로채 단지내상가1충청북도 청주시 서원구 모충동21-Nov3혼합59.6617111.099716922022-12-16 10:002022-12-16 16:002022-12-16 18:00101134.9950.19040.06363632400000010090충청북도 청주시 서원구 구룡산로52번길 40(성화동) LH충북지역본부7계약 체결시중도금없음입점지정기간내