Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory654.3 KiB
Average record size in memory67.0 B

Variable types

Text1
Numeric2
Categorical4

Dataset

Description광주광역시 서구 개별공시지가의 고유번호, 지번, 기준년도, 기준월, 공시지가, 공시일자, 표준지 여부 등에 대한 현황입니다.
Author광주광역시 서구
URLhttps://www.data.go.kr/data/15011781/fileData.do

Alerts

기준일자 has constant value ""Constant
공시일자 has constant value ""Constant
데이터기준일자 has constant value ""Constant
구분(1_토지 2_임야) is highly imbalanced (74.6%)Imbalance
소재지지번 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:30:12.335296
Analysis finished2024-03-15 01:30:14.122749
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소재지지번
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T10:30:15.437145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.17
Min length14

Characters and Unicode

Total characters181700
Distinct characters50
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row광주광역시 서구 화정동 924-1
2nd row광주광역시 서구 농성동 645-19
3rd row광주광역시 서구 벽진동 456
4th row광주광역시 서구 유촌동 524-1
5th row광주광역시 서구 양동 335-8
ValueCountFrequency (%)
광주광역시 10000
24.7%
서구 10000
24.7%
화정동 1209
 
3.0%
쌍촌동 1197
 
3.0%
농성동 898
 
2.2%
양동 749
 
1.9%
광천동 742
 
1.8%
서창동 584
 
1.4%
세하동 571
 
1.4%
용두동 537
 
1.3%
Other values (8669) 13938
34.5%
2024-03-15T10:30:17.594900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30425
16.7%
광 20742
 
11.4%
서 10584
 
5.8%
동 10150
 
5.6%
역 10000
 
5.5%
시 10000
 
5.5%
구 10000
 
5.5%
주 10000
 
5.5%
- 8694
 
4.8%
1 7282
 
4.0%
Other values (40) 53823
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99676
54.9%
Decimal Number 42905
23.6%
Space Separator 30425
 
16.7%
Dash Punctuation 8694
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 20742
20.8%
서 10584
10.6%
동 10150
10.2%
역 10000
10.0%
시 10000
10.0%
구 10000
10.0%
주 10000
10.0%
촌 1511
 
1.5%
정 1209
 
1.2%
화 1209
 
1.2%
Other values (28) 14271
14.3%
Decimal Number
ValueCountFrequency (%)
1 7282
17.0%
2 5324
12.4%
3 4908
11.4%
4 4124
9.6%
6 4027
9.4%
5 3849
9.0%
7 3766
8.8%
8 3568
8.3%
9 3205
7.5%
0 2852
 
6.6%
Space Separator
ValueCountFrequency (%)
30425
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8694
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99676
54.9%
Common 82024
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 20742
20.8%
서 10584
10.6%
동 10150
10.2%
역 10000
10.0%
시 10000
10.0%
구 10000
10.0%
주 10000
10.0%
촌 1511
 
1.5%
정 1209
 
1.2%
화 1209
 
1.2%
Other values (28) 14271
14.3%
Common
ValueCountFrequency (%)
30425
37.1%
- 8694
 
10.6%
1 7282
 
8.9%
2 5324
 
6.5%
3 4908
 
6.0%
4 4124
 
5.0%
6 4027
 
4.9%
5 3849
 
4.7%
7 3766
 
4.6%
8 3568
 
4.3%
Other values (2) 6057
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99676
54.9%
ASCII 82024
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30425
37.1%
- 8694
 
10.6%
1 7282
 
8.9%
2 5324
 
6.5%
3 4908
 
6.0%
4 4124
 
5.0%
6 4027
 
4.9%
5 3849
 
4.7%
7 3766
 
4.6%
8 3568
 
4.3%
Other values (2) 6057
 
7.4%
Hangul
ValueCountFrequency (%)
광 20742
20.8%
서 10584
10.6%
동 10150
10.2%
역 10000
10.0%
시 10000
10.0%
구 10000
10.0%
주 10000
10.0%
촌 1511
 
1.5%
정 1209
 
1.2%
화 1209
 
1.2%
Other values (28) 14271
14.3%

행정동코드
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.0562
Minimum104
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:30:17.954249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104
5-th percentile104
Q1116
median119
Q3127
95-th percentile132
Maximum133
Range29
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.4600354
Coefficient of variation (CV)0.070467293
Kurtosis-0.72413292
Mean120.0562
Median Absolute Deviation (MAD)7
Skewness-0.44619587
Sum1200562
Variance71.572199
MonotonicityNot monotonic
2024-03-15T10:30:18.324755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
119 1209
12.1%
118 1197
12.0%
106 898
 
9.0%
104 749
 
7.5%
115 742
 
7.4%
125 584
 
5.8%
126 571
 
5.7%
127 537
 
5.4%
130 485
 
4.9%
128 483
 
4.8%
Other values (8) 2545
25.4%
ValueCountFrequency (%)
104 749
7.5%
106 898
9.0%
115 742
7.4%
116 314
 
3.1%
117 320
 
3.2%
118 1197
12.0%
119 1209
12.1%
120 311
 
3.1%
121 173
 
1.7%
125 584
5.8%
ValueCountFrequency (%)
133 150
 
1.5%
132 466
4.7%
131 407
4.1%
130 485
4.9%
129 404
4.0%
128 483
4.8%
127 537
5.4%
126 571
5.7%
125 584
5.8%
121 173
 
1.7%

구분(1_토지 2_임야)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9575 
2
 
425

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 9575
95.8%
2 425
 
4.2%

Length

2024-03-15T10:30:18.730632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:30:19.031453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9575
95.8%
2 425
 
4.2%

공시지가
Real number (ℝ)

Distinct4314
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean576490.89
Minimum5340
Maximum5182000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:30:19.383105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5340
5-th percentile28395
Q1172800
median484250
Q3776500
95-th percentile1593250
Maximum5182000
Range5176660
Interquartile range (IQR)603700

Descriptive statistics

Standard deviation559338.21
Coefficient of variation (CV)0.9702464
Kurtosis9.8054406
Mean576490.89
Median Absolute Deviation (MAD)303050
Skewness2.4373959
Sum5.7649089 × 109
Variance3.1285923 × 1011
MonotonicityNot monotonic
2024-03-15T10:30:20.020424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18700 89
 
0.9%
21600 78
 
0.8%
21800 35
 
0.4%
50800 34
 
0.3%
49200 24
 
0.2%
98400 23
 
0.2%
63900 23
 
0.2%
52400 23
 
0.2%
25300 23
 
0.2%
340800 23
 
0.2%
Other values (4304) 9625
96.2%
ValueCountFrequency (%)
5340 1
< 0.1%
5610 2
< 0.1%
5640 1
< 0.1%
6230 2
< 0.1%
6690 2
< 0.1%
9170 2
< 0.1%
10500 1
< 0.1%
10800 2
< 0.1%
12100 1
< 0.1%
12200 1
< 0.1%
ValueCountFrequency (%)
5182000 2
< 0.1%
4816000 2
< 0.1%
4753000 2
< 0.1%
4516000 1
< 0.1%
4413000 2
< 0.1%
4397000 1
< 0.1%
4370000 1
< 0.1%
4311000 1
< 0.1%
4302000 1
< 0.1%
4178000 1
< 0.1%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-01-01
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 10000
100.0%

Length

2024-03-15T10:30:20.437120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:30:20.733891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 10000
100.0%

공시일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-04-28
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-28
2nd row2023-04-28
3rd row2023-04-28
4th row2023-04-28
5th row2023-04-28

Common Values

ValueCountFrequency (%)
2023-04-28 10000
100.0%

Length

2024-03-15T10:30:20.955532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:30:21.216347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-28 10000
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-05
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-05
2nd row2024-01-05
3rd row2024-01-05
4th row2024-01-05
5th row2024-01-05

Common Values

ValueCountFrequency (%)
2024-01-05 10000
100.0%

Length

2024-03-15T10:30:21.528180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:30:21.698662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-05 10000
100.0%

Interactions

2024-03-15T10:30:13.304106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:12.964743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:13.500636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:30:13.140431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:30:21.795343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동코드구분(1_토지 2_임야)공시지가
행정동코드1.0000.1830.397
구분(1_토지 2_임야)0.1831.0000.237
공시지가0.3970.2371.000
2024-03-15T10:30:22.020418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동코드공시지가구분(1_토지 2_임야)
행정동코드1.000-0.2930.196
공시지가-0.2931.0000.182
구분(1_토지 2_임야)0.1960.1821.000

Missing values

2024-03-15T10:30:13.812899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:30:14.028073image/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

소재지지번행정동코드구분(1_토지 2_임야)공시지가기준일자공시일자데이터기준일자
47481광주광역시 서구 화정동 924-111916594002023-01-012023-04-282024-01-05
13844광주광역시 서구 농성동 645-19106117120002023-01-012023-04-282024-01-05
22842광주광역시 서구 벽진동 45612913908002023-01-012023-04-282024-01-05
38146광주광역시 서구 유촌동 524-111611826002023-01-012023-04-282024-01-05
2129광주광역시 서구 양동 335-810414645002023-01-012023-04-282024-01-05
46011광주광역시 서구 화정동 781-8811915912002023-01-012023-04-282024-01-05
42404광주광역시 서구 풍암동 1189-2128112200002023-01-012023-04-282024-01-05
3118광주광역시 서구 양동 438-16610413873002023-01-012023-04-282024-01-05
41925광주광역시 서구 풍암동 1036-412817175002023-01-012023-04-282024-01-05
28488광주광역시 서구 세하동 768-71261281002023-01-012023-04-282024-01-05
소재지지번행정동코드구분(1_토지 2_임야)공시지가기준일자공시일자데이터기준일자
17730광주광역시 서구 마륵동 127-413115388002023-01-012023-04-282024-01-05
10157광주광역시 서구 내방동 783-2212113030002023-01-012023-04-282024-01-05
40723광주광역시 서구 풍암동 402-212811038002023-01-012023-04-282024-01-05
34280광주광역시 서구 쌍촌동 1293-1311819811002023-01-012023-04-282024-01-05
13284광주광역시 서구 농성동 625-1410615267002023-01-012023-04-282024-01-05
4517광주광역시 서구 광천동 106-37115110000002023-01-012023-04-282024-01-05
13084광주광역시 서구 농성동 481-39106126560002023-01-012023-04-282024-01-05
545광주광역시 서구 양동 43-2510415992002023-01-012023-04-282024-01-05
41079광주광역시 서구 풍암동 806-412812525002023-01-012023-04-282024-01-05
45438광주광역시 서구 화정동 764-8111916107002023-01-012023-04-282024-01-05