Dataset statistics
| Number of variables | 2 |
|---|---|
| Number of observations | 1104 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 17.4 KiB |
| Average record size in memory | 16.1 B |
Variable types
| Text | 1 |
|---|---|
| Categorical | 1 |
Dataset
| Description | 주파수 대역별 분배업무에 관한 용도별 코드와 적용근거에 대한 자료입니다. 분배업무, 용도, 용도 공통 주석등이 포함되어 있으며, 이와 관련한 정부 고시, 국제규격등이 관련 근거로 명시되어 있습니다. |
|---|---|
| URL | https://www.data.go.kr/data/15106341/fileData.do |
Reproduction
| Analysis started | 2023-12-12 15:07:27.506747 |
|---|---|
| Analysis finished | 2023-12-12 15:07:27.681579 |
| Duration | 0.17 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
분배주석코드
Text
UNIQUE
| Distinct | 1104 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.8 KiB |
Length
| Max length | 7 |
|---|---|
| Median length | 6 |
| Mean length | 4.8387681 |
| Min length | 2 |
Characters and Unicode
| Total characters | 5342 |
|---|---|
| Distinct characters | 22 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1104 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 5.495 |
|---|---|
| 2nd row | 5.367 |
| 3rd row | 5.178 |
| 4th row | 5.514 |
| 5th row | 5.515 |
| Value | Count | Frequency (%) |
| 5.495 | 1 | 0.1% |
| 5.467 | 1 | 0.1% |
| 5.312a | 1 | 0.1% |
| k87 | 1 | 0.1% |
| 5.549 | 1 | 0.1% |
| k29 | 1 | 0.1% |
| 5.191 | 1 | 0.1% |
| 5.82a | 1 | 0.1% |
| 5.161b | 1 | 0.1% |
| k36 | 1 | 0.1% |
| Other values (1094) | 1094 |
Most occurring characters
| Value | Count | Frequency (%) |
| 5 | 1145 | |
| . | 785 | |
| 1 | 486 | |
| 4 | 408 | 7.6% |
| 3 | 364 | 6.8% |
| 2 | 348 | 6.5% |
| K | 317 | 5.9% |
| 6 | 254 | 4.8% |
| 7 | 234 | 4.4% |
| 8 | 213 | 4.0% |
| Other values (12) | 788 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3851 | |
| Other Punctuation | 785 | 14.7% |
| Uppercase Letter | 706 | 13.2% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| K | 317 | |
| A | 179 | |
| B | 85 | 12.0% |
| C | 46 | 6.5% |
| D | 28 | 4.0% |
| E | 19 | 2.7% |
| F | 14 | 2.0% |
| G | 8 | 1.1% |
| H | 6 | 0.8% |
| I | 3 | 0.4% |
Decimal Number
| Value | Count | Frequency (%) |
| 5 | 1145 | |
| 1 | 486 | |
| 4 | 408 | 10.6% |
| 3 | 364 | 9.5% |
| 2 | 348 | 9.0% |
| 6 | 254 | 6.6% |
| 7 | 234 | 6.1% |
| 8 | 213 | 5.5% |
| 9 | 201 | 5.2% |
| 0 | 198 | 5.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 785 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4636 | |
| Latin | 706 | 13.2% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 5 | 1145 | |
| . | 785 | |
| 1 | 486 | |
| 4 | 408 | 8.8% |
| 3 | 364 | 7.9% |
| 2 | 348 | 7.5% |
| 6 | 254 | 5.5% |
| 7 | 234 | 5.0% |
| 8 | 213 | 4.6% |
| 9 | 201 | 4.3% |
Latin
| Value | Count | Frequency (%) |
| K | 317 | |
| A | 179 | |
| B | 85 | 12.0% |
| C | 46 | 6.5% |
| D | 28 | 4.0% |
| E | 19 | 2.7% |
| F | 14 | 2.0% |
| G | 8 | 1.1% |
| H | 6 | 0.8% |
| I | 3 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5342 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 5 | 1145 | |
| . | 785 | |
| 1 | 486 | |
| 4 | 408 | 7.6% |
| 3 | 364 | 6.8% |
| 2 | 348 | 6.5% |
| K | 317 | 5.9% |
| 6 | 254 | 4.8% |
| 7 | 234 | 4.4% |
| 8 | 213 | 4.0% |
| Other values (12) | 788 |
분배주석적용근거
Categorical
IMBALANCE
| Distinct | 30 |
|---|---|
| Distinct (%) | 2.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.8 KiB |
| WRC-2000 | |
|---|---|
| WRC-2003 | |
| <NA> | |
| 정통부령 제163(2004.12) | 17 |
| 방통위고시 2008-136 | 8 |
| Other values (25) | 51 |
Length
| Max length | 21 |
|---|---|
| Median length | 8 |
| Mean length | 8.0742754 |
| Min length | 1 |
Unique
| Unique | 15 ? |
|---|---|
| Unique (%) | 1.4% |
Sample
| 1st row | WRC-2003 |
|---|---|
| 2nd row | WRC-2000 |
| 3rd row | WRC-2000 |
| 4th row | WRC-2003 |
| 5th row | WRC-2000 |
Common Values
| Value | Count | Frequency (%) |
| WRC-2000 | 736 | |
| WRC-2003 | 183 | 16.6% |
| <NA> | 109 | 9.9% |
| 정통부령 제163(2004.12) | 17 | 1.5% |
| 방통위고시 2008-136 | 8 | 0.7% |
| 정통부고시 제2005-60 | 8 | 0.7% |
| 방통위고시2010-2호 | 5 | 0.5% |
| 정보통신부고시 제200 | 5 | 0.5% |
| 정통부고시 제2005-9 | 4 | 0.4% |
| 과학기술정보통신부고시 제2018-24호 | 4 | 0.4% |
| Other values (20) | 25 | 2.3% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| wrc-2000 | 736 | |
| wrc-2003 | 183 | 15.7% |
| na | 109 | 9.3% |
| 정통부고시 | 19 | 1.6% |
| 정통부령 | 17 | 1.5% |
| 제163(2004.12 | 17 | 1.5% |
| 방통위고시 | 9 | 0.8% |
| 제2005-60 | 8 | 0.7% |
| 2008-136 | 8 | 0.7% |
| 방통위고시2010-2호 | 5 | 0.4% |
| Other values (27) | 57 | 4.9% |
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.
| 분배주석코드 | 분배주석적용근거 | |
|---|---|---|
| 0 | 5.495 | WRC-2003 |
| 1 | 5.367 | WRC-2000 |
| 2 | 5.178 | WRC-2000 |
| 3 | 5.514 | WRC-2003 |
| 4 | 5.515 | WRC-2000 |
| 5 | 5.357A | WRC-2000 |
| 6 | 5.337A | WRC-2000 |
| 7 | 5.200 | WRC-2000 |
| 8 | 5.555B | WRC-2003 |
| 9 | 5.73 | WRC-2000 |
| 분배주석코드 | 분배주석적용근거 | |
|---|---|---|
| 1094 | 5.145A | <NA> |
| 1095 | 5.532B | <NA> |
| 1096 | 5.562H | WRC-2000 |
| 1097 | 5.562A | WRC-2000 |
| 1098 | K59C | WRC-2000 |
| 1099 | 5.458 | WRC-2000 |
| 1100 | 5.153 | WRC-2000 |
| 1101 | 5.482A | <NA> |
| 1102 | 5.522B | WRC-2000 |
| 1103 | 5.407 | WRC-2000 |