Overview

Dataset statistics

Number of variables4
Number of observations2667
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.1 KiB
Average record size in memory33.0 B

Variable types

Numeric1
Text1
DateTime2

Dataset

Description한국토지주택공사에서 공고한 감정평가 공고 현황(감정평가공고번호, 공고명, 공고시작일자, 공고종료일자) 정보를 제공합니다.
Author한국토지주택공사
URLhttps://www.data.go.kr/data/15122805/fileData.do

Alerts

감정평가공고번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:03:12.622613
Analysis finished2023-12-12 21:03:13.113779
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

감정평가공고번호
Real number (ℝ)

UNIQUE 

Distinct2667
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0180525 × 109
Minimum2.0090324 × 109
Maximum2.0230913 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.6 KiB
2023-12-13T06:03:13.179713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0090324 × 109
5-th percentile2.0100854 × 109
Q12.0151207 × 109
median2.0190513 × 109
Q32.0210521 × 109
95-th percentile2.0230502 × 109
Maximum2.0230913 × 109
Range14058900
Interquartile range (IQR)5931400

Descriptive statistics

Standard deviation3849038.5
Coefficient of variation (CV)0.0019073034
Kurtosis-0.47385826
Mean2.0180525 × 109
Median Absolute Deviation (MAD)2950301
Skewness-0.70521235
Sum5.3821461 × 1012
Variance1.4815098 × 1013
MonotonicityStrictly decreasing
2023-12-13T06:03:13.307930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2023091301 1
 
< 0.1%
2017051101 1
 
< 0.1%
2017051001 1
 
< 0.1%
2017050801 1
 
< 0.1%
2017042601 1
 
< 0.1%
2017042501 1
 
< 0.1%
2017042001 1
 
< 0.1%
2017041901 1
 
< 0.1%
2017041801 1
 
< 0.1%
2017041401 1
 
< 0.1%
Other values (2657) 2657
99.6%
ValueCountFrequency (%)
2009032401 1
< 0.1%
2009032402 1
< 0.1%
2009032501 1
< 0.1%
2009032701 1
< 0.1%
2009033101 1
< 0.1%
2009040901 1
< 0.1%
2009041601 1
< 0.1%
2009042303 1
< 0.1%
2009042901 1
< 0.1%
2009043001 1
< 0.1%
ValueCountFrequency (%)
2023091301 1
< 0.1%
2023091203 1
< 0.1%
2023091202 1
< 0.1%
2023091201 1
< 0.1%
2023091101 1
< 0.1%
2023090702 1
< 0.1%
2023090701 1
< 0.1%
2023090604 1
< 0.1%
2023090603 1
< 0.1%
2023090602 1
< 0.1%

공고명
Text

Distinct2379
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
2023-12-13T06:03:13.567957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length56
Mean length33.76378
Min length1

Characters and Unicode

Total characters90048
Distinct characters436
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2193 ?
Unique (%)82.2%

Sample

1st rowGB토지 협의매수를 위한 감정평가업자 선정계획 공고(서울지역본부)
2nd row제주지사 비축토지 매각을 위한 감정평가법인 선정계획 공고
3rd row동대문구 보유잔지 감정평가법인 선정계획 공고
4th rowGB토지 협의매수를 위한 감정평가업자 선정계획 공고(서울지역본부)
5th row수원당수지구 일반상업용지 및 근린생활시설용지 감정평가법인 선정계획 공고
ValueCountFrequency (%)
감정평가업자 2150
 
13.1%
공고 1920
 
11.7%
선정계획 1429
 
8.7%
선정 751
 
4.6%
위한 555
 
3.4%
공동주택용지 357
 
2.2%
선정공고 354
 
2.2%
및 317
 
1.9%
등 261
 
1.6%
감정평가법인 217
 
1.3%
Other values (2242) 8071
49.3%
2023-12-13T06:03:14.040406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13737
 
15.3%
정 6026
 
6.7%
지 4066
 
4.5%
공 3990
 
4.4%
업 3106
 
3.4%
가 2995
 
3.3%
고 2846
 
3.2%
평 2759
 
3.1%
선 2722
 
3.0%
감 2684
 
3.0%
Other values (426) 45117
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71381
79.3%
Space Separator 13737
 
15.3%
Decimal Number 1856
 
2.1%
Close Punctuation 880
 
1.0%
Open Punctuation 879
 
1.0%
Uppercase Letter 807
 
0.9%
Dash Punctuation 297
 
0.3%
Other Punctuation 125
 
0.1%
Other Symbol 30
 
< 0.1%
Lowercase Letter 28
 
< 0.1%
Other values (3) 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 6026
 
8.4%
지 4066
 
5.7%
공 3990
 
5.6%
업 3106
 
4.4%
가 2995
 
4.2%
고 2846
 
4.0%
평 2759
 
3.9%
선 2722
 
3.8%
감 2684
 
3.8%
자 2326
 
3.3%
Other values (362) 37861
53.0%
Uppercase Letter
ValueCountFrequency (%)
B 288
35.7%
A 185
22.9%
L 158
19.6%
S 45
 
5.6%
C 28
 
3.5%
G 25
 
3.1%
H 23
 
2.9%
M 16
 
2.0%
D 14
 
1.7%
R 8
 
1.0%
Other values (6) 17
 
2.1%
Decimal Number
ValueCountFrequency (%)
2 783
42.2%
1 303
 
16.3%
3 235
 
12.7%
0 178
 
9.6%
4 93
 
5.0%
8 71
 
3.8%
5 63
 
3.4%
6 62
 
3.3%
7 38
 
2.0%
9 30
 
1.6%
Other Punctuation
ValueCountFrequency (%)
· 66
52.8%
' 13
 
10.4%
& 11
 
8.8%
# 10
 
8.0%
; 10
 
8.0%
. 8
 
6.4%
/ 3
 
2.4%
: 3
 
2.4%
? 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
t 6
21.4%
c 5
17.9%
s 5
17.9%
e 4
14.3%
a 4
14.3%
r 1
 
3.6%
u 1
 
3.6%
q 1
 
3.6%
k 1
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 800
91.0%
[ 66
 
7.5%
『 10
 
1.1%
「 2
 
0.2%
［ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 799
90.8%
] 67
 
7.6%
』 11
 
1.2%
」 2
 
0.2%
］ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 18
85.7%
> 1
 
4.8%
< 1
 
4.8%
∼ 1
 
4.8%
Other Symbol
ValueCountFrequency (%)
○ 22
73.3%
㎡ 8
 
26.7%
Space Separator
ValueCountFrequency (%)
13737
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 297
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71376
79.3%
Common 17830
 
19.8%
Latin 837
 
0.9%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 6026
 
8.4%
지 4066
 
5.7%
공 3990
 
5.6%
업 3106
 
4.4%
가 2995
 
4.2%
고 2846
 
4.0%
평 2759
 
3.9%
선 2722
 
3.8%
감 2684
 
3.8%
자 2326
 
3.3%
Other values (361) 37856
53.0%
Common
ValueCountFrequency (%)
13737
77.0%
( 800
 
4.5%
) 799
 
4.5%
2 783
 
4.4%
1 303
 
1.7%
- 297
 
1.7%
3 235
 
1.3%
0 178
 
1.0%
4 93
 
0.5%
8 71
 
0.4%
Other values (28) 534
 
3.0%
Latin
ValueCountFrequency (%)
B 288
34.4%
A 185
22.1%
L 158
18.9%
S 45
 
5.4%
C 28
 
3.3%
G 25
 
3.0%
H 23
 
2.7%
M 16
 
1.9%
D 14
 
1.7%
R 8
 
1.0%
Other values (16) 47
 
5.6%
Han
ValueCountFrequency (%)
生 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71360
79.2%
ASCII 18536
 
20.6%
None 93
 
0.1%
Geometric Shapes 22
 
< 0.1%
Compat Jamo 16
 
< 0.1%
CJK Compat 8
 
< 0.1%
CJK 5
 
< 0.1%
Punctuation 5
 
< 0.1%
Number Forms 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13737
74.1%
( 800
 
4.3%
) 799
 
4.3%
2 783
 
4.2%
1 303
 
1.6%
- 297
 
1.6%
B 288
 
1.6%
3 235
 
1.3%
A 185
 
1.0%
0 178
 
1.0%
Other values (42) 931
 
5.0%
Hangul
ValueCountFrequency (%)
정 6026
 
8.4%
지 4066
 
5.7%
공 3990
 
5.6%
업 3106
 
4.4%
가 2995
 
4.2%
고 2846
 
4.0%
평 2759
 
3.9%
선 2722
 
3.8%
감 2684
 
3.8%
자 2326
 
3.3%
Other values (358) 37840
53.0%
None
ValueCountFrequency (%)
· 66
71.0%
』 11
 
11.8%
『 10
 
10.8%
」 2
 
2.2%
「 2
 
2.2%
［ 1
 
1.1%
］ 1
 
1.1%
Geometric Shapes
ValueCountFrequency (%)
○ 22
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
56.2%
ㅇ 5
31.2%
ㅊ 2
 
12.5%
CJK Compat
ValueCountFrequency (%)
㎡ 8
100.0%
CJK
ValueCountFrequency (%)
生 5
100.0%
Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

공고시작일자
Date

Distinct1587
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
Minimum2009-03-25 00:00:00
Maximum2023-09-15 00:00:00
2023-12-13T06:03:14.173253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:14.354326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공고종료일자
Date

Distinct1592
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
Minimum2009-03-30 00:00:00
Maximum2023-09-22 00:00:00
2023-12-13T06:03:14.501513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:14.924009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T06:03:12.895846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T06:03:13.005798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:03:13.081017image/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

감정평가공고번호공고명공고시작일자공고종료일자
02023091301GB토지 협의매수를 위한 감정평가업자 선정계획 공고(서울지역본부)2023-09-152023-09-22
12023091203제주지사 비축토지 매각을 위한 감정평가법인 선정계획 공고2023-09-132023-09-19
22023091202동대문구 보유잔지 감정평가법인 선정계획 공고2023-09-122023-09-18
32023091201GB토지 협의매수를 위한 감정평가업자 선정계획 공고(서울지역본부)2023-09-152023-09-22
42023091101수원당수지구 일반상업용지 및 근린생활시설용지 감정평가법인 선정계획 공고2023-09-122023-09-19
520230907022023년 부산울산 전세임대(부산권) 감정평가법인 선정 공고2023-09-072023-09-14
620230907012023년 부산울산 전세임대(울산권) 감정평가법인 선정 공고2023-09-072023-09-14
72023090604청주모충(LH트릴로채) 공공분양주택 상가 및 충북혁신도시 공공분양주택 감정평가법인 선정계획 공고2023-09-072023-09-14
820230906032023년 부산울산 전세임대(부산권) 감정평가법인등 선정 공고2023-09-072023-09-14
920230906022023년 부산울산 전세임대(울산권) 감정평가법인등 선정 공고2023-09-072023-09-14
감정평가공고번호공고명공고시작일자공고종료일자
26572009043001인천청라지구 단독주택지 공급 감정평가업자 선정계획 공고2009-05-012009-05-06
26582009042901용인흥덕동백지구 상업용지등 감정평가업자 선정 공고2009-04-302009-05-04
26592009042303중로1-75호선 개설사업 용지보상 감정평가업자 선정 공고2009-04-242009-04-30
26602009041601양산물금1지구 주상복합용지 감정평가업자 선정 공고2009-04-172009-04-21
26612009040901평택소사벌지구 복합용지 감정평가업자 선정계획 공고2009-04-132009-04-23
26622009033101대구테크노폴리스 공동주택용지 감정평가업자 선정공고2009-04-012009-04-04
26632009032701광주수완 광주첨단2단계 공동주택용지 감정평가업자 선정공고2009-03-302009-04-02
26642009032501대구테크노폴리스 공동주택용지 감정평가업자 선정 공고2009-03-262009-03-30
26652009032402여의도 학교부지 감정평가 선정계획 공고2009-03-252009-03-30
26662009032401영천일반산업단지 감정평가업자 선정계획 공고문2009-03-262009-03-31