Overview

Dataset statistics

Number of variables5
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory43.6 B

Variable types

Numeric1
Categorical1
Text1
DateTime2

Dataset

Description광주광역시 서구 관내의 건설현장에 대한 건설현장명, 건설현장 대지위치, 착공처리일, 사용승인예정일 등에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15116460/fileData.do

Alerts

연번 has unique valuesUnique
건설현장 대지위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:45:27.176753
Analysis finished2023-12-12 15:45:27.783666
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T00:45:27.879608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-13T00:45:28.058529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

건설현장명
Categorical

Distinct22
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
제2종근린생활시설 신축공사
제1종근린생활시설 신축공사
공동주택 신축공사
단독주택 신축공사
업무시설 신축공사
Other values (17)
18 

Length

Max length27
Median length19
Mean length12.509804
Min length9

Unique

Unique16 ?
Unique (%)31.4%

Sample

1st row제1종근린생활시설 증축공사
2nd row제1종근린생활시설 신축공사
3rd row제2종근린생활시설 신축공사
4th row수련시설 증축공사
5th row제2종근린생활시설 신축공사

Common Values

ValueCountFrequency (%)
제2종근린생활시설 신축공사 9
17.6%
제1종근린생활시설 신축공사 9
17.6%
공동주택 신축공사 8
15.7%
단독주택 신축공사 4
 
7.8%
업무시설 신축공사 3
 
5.9%
노유자시설 신축공사 2
 
3.9%
교육연구시설 신축공사 1
 
2.0%
수련시설 증축공사 1
 
2.0%
제2종근린생활시설 증축공사 1
 
2.0%
마륵동 골드클래스 아파트 신축공사 1
 
2.0%
Other values (12) 12
23.5%

Length

2023-12-13T00:45:28.261693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신축공사 43
38.1%
공동주택 11
 
9.7%
제2종근린생활시설 10
 
8.8%
제1종근린생활시설 10
 
8.8%
증축공사 7
 
6.2%
단독주택 4
 
3.5%
업무시설 3
 
2.7%
노유자시설 2
 
1.8%
교육연구시설 2
 
1.8%
마륵동 2
 
1.8%
Other values (19) 19
16.8%
Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-13T00:45:28.593633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.882353
Min length16

Characters and Unicode

Total characters1065
Distinct characters51
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

Unique51 ?
Unique (%)100.0%

Sample

1st row광주광역시 서구 화정동 1048
2nd row광주광역시 서구 매월동 492-14
3rd row광주광역시 서구 양동 367-18 외1필지
4th row광주광역시 서구 화정동 504-8 외1필지
5th row광주광역시 서구 덕흥동 37-1
ValueCountFrequency (%)
광주광역시 51
21.8%
서구 51
21.8%
외1필지 16
 
6.8%
화정동 8
 
3.4%
쌍촌동 8
 
3.4%
치평동 6
 
2.6%
일원 6
 
2.6%
마륵동 5
 
2.1%
매월동 5
 
2.1%
농성동 5
 
2.1%
Other values (65) 73
31.2%
2023-12-13T00:45:29.101839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
17.2%
104
 
9.8%
1 61
 
5.7%
51
 
4.8%
51
 
4.8%
51
 
4.8%
51
 
4.8%
51
 
4.8%
51
 
4.8%
- 41
 
3.8%
Other values (41) 370
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 605
56.8%
Decimal Number 236
 
22.2%
Space Separator 183
 
17.2%
Dash Punctuation 41
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
104
17.2%
51
8.4%
51
8.4%
51
8.4%
51
8.4%
51
8.4%
51
8.4%
30
 
5.0%
24
 
4.0%
24
 
4.0%
Other values (29) 117
19.3%
Decimal Number
ValueCountFrequency (%)
1 61
25.8%
3 32
13.6%
2 25
10.6%
5 25
10.6%
4 19
 
8.1%
7 17
 
7.2%
9 16
 
6.8%
6 15
 
6.4%
8 14
 
5.9%
0 12
 
5.1%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 605
56.8%
Common 460
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
104
17.2%
51
8.4%
51
8.4%
51
8.4%
51
8.4%
51
8.4%
51
8.4%
30
 
5.0%
24
 
4.0%
24
 
4.0%
Other values (29) 117
19.3%
Common
ValueCountFrequency (%)
183
39.8%
1 61
 
13.3%
- 41
 
8.9%
3 32
 
7.0%
2 25
 
5.4%
5 25
 
5.4%
4 19
 
4.1%
7 17
 
3.7%
9 16
 
3.5%
6 15
 
3.3%
Other values (2) 26
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 605
56.8%
ASCII 460
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
39.8%
1 61
 
13.3%
- 41
 
8.9%
3 32
 
7.0%
2 25
 
5.4%
5 25
 
5.4%
4 19
 
4.1%
7 17
 
3.7%
9 16
 
3.5%
6 15
 
3.3%
Other values (2) 26
 
5.7%
Hangul
ValueCountFrequency (%)
104
17.2%
51
8.4%
51
8.4%
51
8.4%
51
8.4%
51
8.4%
51
8.4%
30
 
5.0%
24
 
4.0%
24
 
4.0%
Other values (29) 117
19.3%
Distinct41
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2020-10-30 00:00:00
Maximum2023-07-07 00:00:00
2023-12-13T00:45:29.339583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:45:29.526484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
Distinct40
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2023-06-30 00:00:00
Maximum2026-12-23 00:00:00
2023-12-13T00:45:29.696201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:45:29.904731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

Interactions

2023-12-13T00:45:27.471998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:45:30.029899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건설현장명건설현장 대지위치착공처리일사용승인예정일
연번1.0000.6981.0000.8470.999
건설현장명0.6981.0001.0000.9690.919
건설현장 대지위치1.0001.0001.0001.0001.000
착공처리일0.8470.9691.0001.0000.969
사용승인예정일0.9990.9191.0000.9691.000
2023-12-13T00:45:30.150824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건설현장명
연번1.0000.275
건설현장명0.2751.000

Missing values

2023-12-13T00:45:27.620086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:45:27.735610image/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

연번건설현장명건설현장 대지위치착공처리일사용승인예정일
01제1종근린생활시설 증축공사광주광역시 서구 화정동 10482023-06-072023-06-30
12제1종근린생활시설 신축공사광주광역시 서구 매월동 492-142023-03-272023-06-30
23제2종근린생활시설 신축공사광주광역시 서구 양동 367-18 외1필지2023-05-222023-07-10
34수련시설 증축공사광주광역시 서구 화정동 504-8 외1필지2023-01-302023-07-22
45제2종근린생활시설 신축공사광주광역시 서구 덕흥동 37-12023-04-242023-07-23
56제2종근린생활시설 증축공사광주광역시 서구 화정동 1320 외1필지2023-06-152023-07-31
67단독주택 신축공사광주광역시 서구 금호동 886-22023-05-042023-08-04
78제2종근린생활시설 신축공사광주광역시 서구 유촌동 4552023-05-192023-08-15
89노유자시설 신축공사광주광역시 서구 농성동 347-192023-04-252023-08-22
910노유자시설 신축공사광주광역시 서구 농성동 359-92023-04-252023-08-22
연번건설현장명건설현장 대지위치착공처리일사용승인예정일
4142공동주택 신축공사광주광역시 서구 내방동 841-12 외7필지2022-04-112024-08-31
4243공동주택 신축공사광주광역시 서구 치평동 1208-52021-08-312024-09-30
4344공동주택 신축공사광주광역시 서구 화정동 23-191 외3필지2022-01-032024-11-03
4445공동주택 신축공사광주광역시 서구 화정동 23-234 외1필지2022-06-202024-11-20
4546공동주택 신축공사광주광역시 서구 화정동 134-25 외1필지2022-06-202024-11-20
4647업무시설 신축공사광주광역시 서구 화정동 325-152023-02-152024-11-30
4748호남대 쌍촌캠퍼스 공동주택 신축공사광주광역시 서구 쌍촌동 600번지 일원2022-01-072025-03-31
4849마륵근린공원 민간공원 비공원시설 공동주택 신축공사광주광역시 서구 금호동 산109번지 일원2023-02-082025-12-31
4950공동주택 신축공사광주광역시 서구 광천동 54-3 외56필지2023-06-012026-04-30
5051마륵동 연화지역 주택조합공사광주광역시 서구 마륵동 47-7번지 일원2023-03-272026-12-23