Overview

Dataset statistics

Number of variables3
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory732.0 B
Average record size in memory29.3 B

Variable types

Categorical1
Text2

Dataset

Description지형지물코드,구코드,구이름
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21184/S/1/datasetView.do

Alerts

지형지물코드 has constant value ""Constant
구코드 has unique valuesUnique
구이름 has unique valuesUnique

Reproduction

Analysis started2024-05-11 09:49:15.840205
Analysis finished2024-05-11 09:49:21.066682
Duration5.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지형지물코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
AZ940
25 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAZ940
2nd rowAZ940
3rd rowAZ940
4th rowAZ940
5th rowAZ940

Common Values

ValueCountFrequency (%)
AZ940 25
100.0%

Length

2024-05-11T09:49:21.423416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:49:21.790889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
az940 25
100.0%

구코드
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T09:49:22.180660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters250
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st rowCMM_AD_016
2nd rowCMM_AD_013
3rd rowCMM_AD_011
4th rowCMM_AD_026
5th rowCMM_AD_021
ValueCountFrequency (%)
cmm_ad_016 1
 
4.0%
cmm_ad_019 1
 
4.0%
cmm_ad_002 1
 
4.0%
cmm_ad_008 1
 
4.0%
cmm_ad_014 1
 
4.0%
cmm_ad_012 1
 
4.0%
cmm_ad_007 1
 
4.0%
cmm_ad_009 1
 
4.0%
cmm_ad_003 1
 
4.0%
cmm_ad_010 1
 
4.0%
Other values (15) 15
60.0%
2024-05-11T09:49:23.058195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 50
20.0%
_ 50
20.0%
0 35
14.0%
C 25
10.0%
A 25
10.0%
D 25
10.0%
1 12
 
4.8%
2 10
 
4.0%
6 3
 
1.2%
3 3
 
1.2%
Other values (5) 12
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 125
50.0%
Decimal Number 75
30.0%
Connector Punctuation 50
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
46.7%
1 12
 
16.0%
2 10
 
13.3%
6 3
 
4.0%
3 3
 
4.0%
4 3
 
4.0%
5 3
 
4.0%
8 2
 
2.7%
9 2
 
2.7%
7 2
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
M 50
40.0%
C 25
20.0%
A 25
20.0%
D 25
20.0%
Connector Punctuation
ValueCountFrequency (%)
_ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 125
50.0%
Common 125
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
_ 50
40.0%
0 35
28.0%
1 12
 
9.6%
2 10
 
8.0%
6 3
 
2.4%
3 3
 
2.4%
4 3
 
2.4%
5 3
 
2.4%
8 2
 
1.6%
9 2
 
1.6%
Latin
ValueCountFrequency (%)
M 50
40.0%
C 25
20.0%
A 25
20.0%
D 25
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M 50
20.0%
_ 50
20.0%
0 35
14.0%
C 25
10.0%
A 25
10.0%
D 25
10.0%
1 12
 
4.8%
2 10
 
4.0%
6 3
 
1.2%
3 3
 
1.2%
Other values (5) 12
 
4.8%

구이름
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T09:49:23.549307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.08
Min length2

Characters and Unicode

Total characters77
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row양천구
2nd row은평구
3rd row도봉구
4th row강동구
5th row동작구
ValueCountFrequency (%)
양천구 1
 
4.0%
금천구 1
 
4.0%
종로구 1
 
4.0%
중랑구 1
 
4.0%
서대문구 1
 
4.0%
노원구 1
 
4.0%
동대문구 1
 
4.0%
성북구 1
 
4.0%
중구 1
 
4.0%
강북구 1
 
4.0%
Other values (15) 15
60.0%
2024-05-11T09:49:24.613351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 26
33.8%
강 4
 
5.2%
동 4
 
5.2%
서 3
 
3.9%
문 2
 
2.6%
북 2
 
2.6%
포 2
 
2.6%
천 2
 
2.6%
로 2
 
2.6%
성 2
 
2.6%
Other values (26) 28
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 26
33.8%
강 4
 
5.2%
동 4
 
5.2%
서 3
 
3.9%
문 2
 
2.6%
북 2
 
2.6%
포 2
 
2.6%
천 2
 
2.6%
로 2
 
2.6%
성 2
 
2.6%
Other values (26) 28
36.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 26
33.8%
강 4
 
5.2%
동 4
 
5.2%
서 3
 
3.9%
문 2
 
2.6%
북 2
 
2.6%
포 2
 
2.6%
천 2
 
2.6%
로 2
 
2.6%
성 2
 
2.6%
Other values (26) 28
36.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 26
33.8%
강 4
 
5.2%
동 4
 
5.2%
서 3
 
3.9%
문 2
 
2.6%
북 2
 
2.6%
포 2
 
2.6%
천 2
 
2.6%
로 2
 
2.6%
성 2
 
2.6%
Other values (26) 28
36.4%

Correlations

2024-05-11T09:49:24.924377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구코드구이름
구코드1.0001.000
구이름1.0001.000

Missing values

2024-05-11T09:49:20.605923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T09:49:20.959985image/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

지형지물코드구코드구이름
0AZ940CMM_AD_016양천구
1AZ940CMM_AD_013은평구
2AZ940CMM_AD_011도봉구
3AZ940CMM_AD_026강동구
4AZ940CMM_AD_021동작구
5AZ940CMM_AD_018구로구
6AZ940CMM_AD_004용산구
7AZ940CMM_AD_025송파구
8AZ940CMM_AD_005성동구
9AZ940CMM_AD_023서초구
지형지물코드구코드구이름
15AZ940CMM_AD_024강남구
16AZ940CMM_AD_010강북구
17AZ940CMM_AD_003중구
18AZ940CMM_AD_009성북구
19AZ940CMM_AD_007동대문구
20AZ940CMM_AD_012노원구
21AZ940CMM_AD_014서대문구
22AZ940CMM_AD_008중랑구
23AZ940CMM_AD_002종로구
24AZ940CMM_AD_022관악구