Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 25 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 782.0 B |
| Average record size in memory | 31.3 B |
Variable types
| Numeric | 2 |
|---|---|
| Text | 1 |
Dataset
| Description | 오산시 지방세 ARS카드수납시스템을 사용하여 수납이 가능한 은행코드 데이터로, 은행코드, 은행명 등의 항목을 제공합니다. |
|---|---|
| Author | 공공데이터포털 |
| URL | https://www.data.go.kr/data/15081217/fileData.do |
Reproduction
| Analysis started | 2024-04-17 10:21:01.424556 |
|---|---|
| Analysis finished | 2024-04-17 10:21:01.848217 |
| Duration | 0.42 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
시퀀스번호
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 25 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13 |
| Minimum | 1 |
|---|---|
| Maximum | 25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 357.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2.2 |
| Q1 | 7 |
| median | 13 |
| Q3 | 19 |
| 95-th percentile | 23.8 |
| Maximum | 25 |
| Range | 24 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 7.3598007 |
|---|---|
| Coefficient of variation (CV) | 0.56613852 |
| Kurtosis | -1.2 |
| Mean | 13 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0 |
| Sum | 325 |
| Variance | 54.166667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 1 | 1 | 4.0% |
| 2 | 1 | 4.0% |
| 25 | 1 | 4.0% |
| 24 | 1 | 4.0% |
| 23 | 1 | 4.0% |
| 22 | 1 | 4.0% |
| 21 | 1 | 4.0% |
| 20 | 1 | 4.0% |
| 19 | 1 | 4.0% |
| 18 | 1 | 4.0% |
| Other values (15) | 15 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 25 | 1 | |
| 24 | 1 | |
| 23 | 1 | |
| 22 | 1 | |
| 21 | 1 | |
| 20 | 1 | |
| 19 | 1 | |
| 18 | 1 | |
| 17 | 1 | |
| 16 | 1 |
은행코드
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 25 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.36 |
| Minimum | 2 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 357.0 B |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 3.2 |
| Q1 | 12 |
| median | 32 |
| Q3 | 48 |
| 95-th percentile | 88.8 |
| Maximum | 90 |
| Range | 88 |
| Interquartile range (IQR) | 36 |
Descriptive statistics
| Standard deviation | 28.174871 |
|---|---|
| Coefficient of variation (CV) | 0.77488643 |
| Kurtosis | -0.45309826 |
| Mean | 36.36 |
| Median Absolute Deviation (MAD) | 18 |
| Skewness | 0.73994232 |
| Sum | 909 |
| Variance | 793.82333 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 2 | 1 | 4.0% |
| 3 | 1 | 4.0% |
| 90 | 1 | 4.0% |
| 89 | 1 | 4.0% |
| 25 | 1 | 4.0% |
| 88 | 1 | 4.0% |
| 81 | 1 | 4.0% |
| 71 | 1 | 4.0% |
| 50 | 1 | 4.0% |
| 48 | 1 | 4.0% |
| Other values (15) | 15 |
| Value | Count | Frequency (%) |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 7 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 20 | 1 | |
| 23 | 1 | |
| 25 | 1 |
| Value | Count | Frequency (%) |
| 90 | 1 | |
| 89 | 1 | |
| 88 | 1 | |
| 81 | 1 | |
| 71 | 1 | |
| 50 | 1 | |
| 48 | 1 | |
| 45 | 1 | |
| 39 | 1 | |
| 37 | 1 |
은행명
Text
UNIQUE
| Distinct | 25 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 332.0 B |
Length
| Max length | 8 |
|---|---|
| Median length | 4 |
| Mean length | 4.32 |
| Min length | 2 |
Characters and Unicode
| Total characters | 108 |
|---|---|
| Distinct characters | 56 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 25 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 산업은행 |
|---|---|
| 2nd row | 기업은행 |
| 3rd row | 국민은행 |
| 4th row | 외환은행 |
| 5th row | 수협 |
| Value | Count | Frequency (%) |
| 산업은행 | 1 | 4.0% |
| 제주은행 | 1 | 4.0% |
| 케이뱅크 | 1 | 4.0% |
| 하나은행 | 1 | 4.0% |
| 신한은행 | 1 | 4.0% |
| 하나(서울)은행 | 1 | 4.0% |
| 우체국 | 1 | 4.0% |
| 상호저축은행 | 1 | 4.0% |
| 신협 | 1 | 4.0% |
| 새마을금고 | 1 | 4.0% |
| Other values (15) | 15 |
Most occurring characters
| Value | Count | Frequency (%) |
| 은 | 17 | 15.7% |
| 행 | 17 | 15.7% |
| 협 | 4 | 3.7% |
| 산 | 2 | 1.9% |
| 회 | 2 | 1.9% |
| 주 | 2 | 1.9% |
| 업 | 2 | 1.9% |
| 신 | 2 | 1.9% |
| ) | 2 | 1.9% |
| 한 | 2 | 1.9% |
| Other values (46) | 56 |
Most occurring categories
| Value | Count | Frequency (%) |
| Other Letter | 104 | |
| Close Punctuation | 2 | 1.9% |
| Open Punctuation | 2 | 1.9% |
Most frequent character per category
Other Letter
| Value | Count | Frequency (%) |
| 은 | 17 | 16.3% |
| 행 | 17 | 16.3% |
| 협 | 4 | 3.8% |
| 산 | 2 | 1.9% |
| 회 | 2 | 1.9% |
| 주 | 2 | 1.9% |
| 업 | 2 | 1.9% |
| 신 | 2 | 1.9% |
| 한 | 2 | 1.9% |
| 제 | 2 | 1.9% |
| Other values (44) | 52 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 2 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 2 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Hangul | 104 | |
| Common | 4 | 3.7% |
Most frequent character per script
Hangul
| Value | Count | Frequency (%) |
| 은 | 17 | 16.3% |
| 행 | 17 | 16.3% |
| 협 | 4 | 3.8% |
| 산 | 2 | 1.9% |
| 회 | 2 | 1.9% |
| 주 | 2 | 1.9% |
| 업 | 2 | 1.9% |
| 신 | 2 | 1.9% |
| 한 | 2 | 1.9% |
| 제 | 2 | 1.9% |
| Other values (44) | 52 |
Common
| Value | Count | Frequency (%) |
| ) | 2 | |
| ( | 2 |
Most occurring blocks
| Value | Count | Frequency (%) |
| Hangul | 104 | |
| ASCII | 4 | 3.7% |
Most frequent character per block
Hangul
| Value | Count | Frequency (%) |
| 은 | 17 | 16.3% |
| 행 | 17 | 16.3% |
| 협 | 4 | 3.8% |
| 산 | 2 | 1.9% |
| 회 | 2 | 1.9% |
| 주 | 2 | 1.9% |
| 업 | 2 | 1.9% |
| 신 | 2 | 1.9% |
| 한 | 2 | 1.9% |
| 제 | 2 | 1.9% |
| Other values (44) | 52 |
ASCII
| Value | Count | Frequency (%) |
| ) | 2 | |
| ( | 2 |
| 시퀀스번호 | 은행코드 | 은행명 | |
|---|---|---|---|
| 시퀀스번호 | 1.000 | 0.904 | 1.000 |
| 은행코드 | 0.904 | 1.000 | 1.000 |
| 은행명 | 1.000 | 1.000 | 1.000 |
| 시퀀스번호 | 은행코드 | |
|---|---|---|
| 시퀀스번호 | 1.000 | 0.930 |
| 은행코드 | 0.930 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| 시퀀스번호 | 은행코드 | 은행명 | |
|---|---|---|---|
| 0 | 1 | 2 | 산업은행 |
| 1 | 2 | 3 | 기업은행 |
| 2 | 3 | 4 | 국민은행 |
| 3 | 4 | 5 | 외환은행 |
| 4 | 5 | 7 | 수협 |
| 5 | 6 | 11 | 농협중앙회 |
| 6 | 7 | 12 | 회원농협 |
| 7 | 8 | 20 | 우리은행 |
| 8 | 9 | 23 | 제일은행 |
| 9 | 10 | 27 | 씨티(한미)은행 |
| 시퀀스번호 | 은행코드 | 은행명 | |
|---|---|---|---|
| 15 | 16 | 39 | 경남은행 |
| 16 | 17 | 45 | 새마을금고 |
| 17 | 18 | 48 | 신협 |
| 18 | 19 | 50 | 상호저축은행 |
| 19 | 20 | 71 | 우체국 |
| 20 | 21 | 81 | 하나(서울)은행 |
| 21 | 22 | 88 | 신한은행 |
| 22 | 23 | 25 | 하나은행 |
| 23 | 24 | 89 | 케이뱅크 |
| 24 | 25 | 90 | 카카오뱅크 |