Dataset statistics
| Number of variables | 14 |
|---|---|
| Number of observations | 32 |
| Missing cells | 93 |
| Missing cells (%) | 20.8% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 4.0 KiB |
| Average record size in memory | 128.1 B |
Variable types
| Categorical | 1 |
|---|---|
| Text | 1 |
| Numeric | 12 |
Dataset
| Description | 과기정통부, 정보통신산업진흥원, 벤처기업협회에서 2021년 ICT 중소기업 실태조사 보고서중 ICT 중소기업 4차 산업혁명 분야 관련기술 비율 |
|---|---|
| URL | https://www.data.go.kr/data/15105585/fileData.do |
인공지능 is highly overall correlated with 모바일_5G and 1 other fields | High correlation |
사물인터넷 is highly overall correlated with 3D 프린팅 | High correlation |
클라우드 is highly overall correlated with 이차전지 | High correlation |
모바일_5G is highly overall correlated with 인공지능 and 2 other fields | High correlation |
가상_증강현실 is highly overall correlated with 모바일_5G and 1 other fields | High correlation |
3D 프린팅 is highly overall correlated with 사물인터넷 and 3 other fields | High correlation |
블록체인 is highly overall correlated with 가상_증강현실 | High correlation |
반도체/디스플레이 is highly overall correlated with 3D 프린팅 | High correlation |
이차전지 is highly overall correlated with 클라우드 and 1 other fields | High correlation |
기타 is highly overall correlated with 인공지능 | High correlation |
빅데이터 has 2 (6.2%) missing values | Missing |
사물인터넷 has 3 (9.4%) missing values | Missing |
클라우드 has 2 (6.2%) missing values | Missing |
모바일_5G has 3 (9.4%) missing values | Missing |
가상_증강현실 has 5 (15.6%) missing values | Missing |
3D 프린팅 has 20 (62.5%) missing values | Missing |
로봇공학 has 14 (43.8%) missing values | Missing |
블록체인 has 10 (31.2%) missing values | Missing |
반도체/디스플레이 has 9 (28.1%) missing values | Missing |
이차전지 has 17 (53.1%) missing values | Missing |
기타 has 8 (25.0%) missing values | Missing |
상세구분 has unique values | Unique |
인공지능 has unique values | Unique |
Reproduction
| Analysis started | 2023-12-12 18:42:30.759853 |
|---|---|
| Analysis finished | 2023-12-12 18:42:55.158000 |
| Duration | 24.4 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
구분
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 15.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 388.0 B |
| 세부업종 | |
|---|---|
| 매출액규모 | |
| 종사자규모 | |
| 권역별 | |
| 업종 |
Length
| Max length | 5 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 2 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 업종 |
|---|---|
| 2nd row | 업종 |
| 3rd row | 업종 |
| 4th row | 세부업종 |
| 5th row | 세부업종 |
Common Values
| Value | Count | Frequency (%) |
| 세부업종 | 11 | |
| 매출액규모 | 6 | |
| 종사자규모 | 6 | |
| 권역별 | 6 | |
| 업종 | 3 | 9.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 세부업종 | 11 | |
| 매출액규모 | 6 | |
| 종사자규모 | 6 | |
| 권역별 | 6 | |
| 업종 | 3 | 9.4% |
상세구분
Text
UNIQUE
| Distinct | 32 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 388.0 B |
Length
| Max length | 11 |
|---|---|
| Median length | 9 |
| Mean length | 7.03125 |
| Min length | 2 |
Characters and Unicode
| Total characters | 225 |
|---|---|
| Distinct characters | 72 |
| Distinct categories | 6 ? |
| Distinct scripts | 3 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 32 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 정보통신방송서비스 |
|---|---|
| 2nd row | 정보통신방송기기 |
| 3rd row | 소프트웨어 |
| 4th row | 통신서비스 |
| 5th row | 방송서비스 |
| Value | Count | Frequency (%) |
| 미만 | 5 | 11.1% |
| 및 | 3 | 6.7% |
| 소프트웨어 | 2 | 4.4% |
| 50~99명 | 1 | 2.2% |
| 10억~50억 | 1 | 2.2% |
| 50억~100억 | 1 | 2.2% |
| 100억 | 1 | 2.2% |
| 이상 | 1 | 2.2% |
| 1~9명 | 1 | 2.2% |
| 10~19명 | 1 | 2.2% |
| Other values (28) | 28 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 15 | 6.7% |
| 13 | 5.8% | |
| 기 | 12 | 5.3% |
| 1 | 10 | 4.4% |
| 억 | 10 | 4.4% |
| / | 9 | 4.0% |
| ~ | 9 | 4.0% |
| 9 | 7 | 3.1% |
| 명 | 6 | 2.7% |
| 서 | 6 | 2.7% |
| Other values (62) | 128 |
Most occurring categories
| Value | Count | Frequency (%) |
| Other Letter | 151 | |
| Decimal Number | 41 | 18.2% |
| Space Separator | 13 | 5.8% |
| Other Punctuation | 9 | 4.0% |
| Math Symbol | 9 | 4.0% |
| Uppercase Letter | 2 | 0.9% |
Most frequent character per category
Other Letter
| Value | Count | Frequency (%) |
| 기 | 12 | 7.9% |
| 억 | 10 | 6.6% |
| 명 | 6 | 4.0% |
| 서 | 6 | 4.0% |
| 스 | 5 | 3.3% |
| 통 | 5 | 3.3% |
| 신 | 5 | 3.3% |
| 미 | 5 | 3.3% |
| 만 | 5 | 3.3% |
| 비 | 5 | 3.3% |
| Other values (50) | 87 |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 15 | |
| 1 | 10 | |
| 9 | 7 | |
| 5 | 5 | 12.2% |
| 2 | 2 | 4.9% |
| 3 | 1 | 2.4% |
| 4 | 1 | 2.4% |
Uppercase Letter
| Value | Count | Frequency (%) |
| T | 1 | |
| I | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 13 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 9 |
Math Symbol
| Value | Count | Frequency (%) |
| ~ | 9 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Hangul | 151 | |
| Common | 72 | |
| Latin | 2 | 0.9% |
Most frequent character per script
Hangul
| Value | Count | Frequency (%) |
| 기 | 12 | 7.9% |
| 억 | 10 | 6.6% |
| 명 | 6 | 4.0% |
| 서 | 6 | 4.0% |
| 스 | 5 | 3.3% |
| 통 | 5 | 3.3% |
| 신 | 5 | 3.3% |
| 미 | 5 | 3.3% |
| 만 | 5 | 3.3% |
| 비 | 5 | 3.3% |
| Other values (50) | 87 |
Common
| Value | Count | Frequency (%) |
| 0 | 15 | |
| 13 | ||
| 1 | 10 | |
| / | 9 | |
| ~ | 9 | |
| 9 | 7 | |
| 5 | 5 | 6.9% |
| 2 | 2 | 2.8% |
| 3 | 1 | 1.4% |
| 4 | 1 | 1.4% |
Latin
| Value | Count | Frequency (%) |
| T | 1 | |
| I | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| Hangul | 151 | |
| ASCII | 74 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 15 | |
| 13 | ||
| 1 | 10 | |
| / | 9 | |
| ~ | 9 | |
| 9 | 7 | |
| 5 | 5 | 6.8% |
| 2 | 2 | 2.7% |
| 3 | 1 | 1.4% |
| 4 | 1 | 1.4% |
| Other values (2) | 2 | 2.7% |
Hangul
| Value | Count | Frequency (%) |
| 기 | 12 | 7.9% |
| 억 | 10 | 6.6% |
| 명 | 6 | 4.0% |
| 서 | 6 | 4.0% |
| 스 | 5 | 3.3% |
| 통 | 5 | 3.3% |
| 신 | 5 | 3.3% |
| 미 | 5 | 3.3% |
| 만 | 5 | 3.3% |
| 비 | 5 | 3.3% |
| Other values (50) | 87 |
인공지능
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 32 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 39.884375 |
| Minimum | 2.1 |
|---|---|
| Maximum | 76.6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 2.1 |
|---|---|
| 5-th percentile | 11.155 |
| Q1 | 26.1 |
| median | 38.45 |
| Q3 | 51.275 |
| 95-th percentile | 69.055 |
| Maximum | 76.6 |
| Range | 74.5 |
| Interquartile range (IQR) | 25.175 |
Descriptive statistics
| Standard deviation | 17.923171 |
|---|---|
| Coefficient of variation (CV) | 0.44937827 |
| Kurtosis | -0.18957454 |
| Mean | 39.884375 |
| Median Absolute Deviation (MAD) | 12.9 |
| Skewness | -0.05855088 |
| Sum | 1276.3 |
| Variance | 321.24007 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=32)
| Value | Count | Frequency (%) |
| 26.5 | 1 | 3.1% |
| 52.0 | 1 | 3.1% |
| 4.5 | 1 | 3.1% |
| 51.5 | 1 | 3.1% |
| 68.2 | 1 | 3.1% |
| 70.1 | 1 | 3.1% |
| 24.9 | 1 | 3.1% |
| 33.1 | 1 | 3.1% |
| 20.6 | 1 | 3.1% |
| 51.2 | 1 | 3.1% |
| Other values (22) | 22 |
| Value | Count | Frequency (%) |
| 2.1 | 1 | |
| 4.5 | 1 | |
| 16.6 | 1 | |
| 20.6 | 1 | |
| 22.7 | 1 | |
| 23.0 | 1 | |
| 24.3 | 1 | |
| 24.9 | 1 | |
| 26.5 | 1 | |
| 28.4 | 1 |
| Value | Count | Frequency (%) |
| 76.6 | 1 | |
| 70.1 | 1 | |
| 68.2 | 1 | |
| 64.7 | 1 | |
| 57.0 | 1 | |
| 52.5 | 1 | |
| 52.0 | 1 | |
| 51.5 | 1 | |
| 51.2 | 1 | |
| 50.3 | 1 |
빅데이터
Real number (ℝ)
MISSING
| Distinct | 30 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 31.25 |
| Minimum | 2.2 |
|---|---|
| Maximum | 55.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 2.2 |
|---|---|
| 5-th percentile | 3.87 |
| Q1 | 23.2 |
| median | 32.5 |
| Q3 | 41.425 |
| 95-th percentile | 50.65 |
| Maximum | 55.5 |
| Range | 53.3 |
| Interquartile range (IQR) | 18.225 |
Descriptive statistics
| Standard deviation | 14.039274 |
|---|---|
| Coefficient of variation (CV) | 0.44925676 |
| Kurtosis | -0.29875007 |
| Mean | 31.25 |
| Median Absolute Deviation (MAD) | 9.6 |
| Skewness | -0.43273319 |
| Sum | 937.5 |
| Variance | 197.10121 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=30)
| Value | Count | Frequency (%) |
| 31.1 | 1 | 3.1% |
| 49.0 | 1 | 3.1% |
| 25.4 | 1 | 3.1% |
| 25.3 | 1 | 3.1% |
| 55.5 | 1 | 3.1% |
| 19.8 | 1 | 3.1% |
| 26.0 | 1 | 3.1% |
| 33.6 | 1 | 3.1% |
| 37.0 | 1 | 3.1% |
| 26.6 | 1 | 3.1% |
| Other values (20) | 20 | |
| (Missing) | 2 | 6.2% |
| Value | Count | Frequency (%) |
| 2.2 | 1 | |
| 3.6 | 1 | |
| 4.2 | 1 | |
| 15.3 | 1 | |
| 19.3 | 1 | |
| 19.8 | 1 | |
| 20.0 | 1 | |
| 22.5 | 1 | |
| 25.3 | 1 | |
| 25.4 | 1 |
| Value | Count | Frequency (%) |
| 55.5 | 1 | |
| 52.0 | 1 | |
| 49.0 | 1 | |
| 48.3 | 1 | |
| 44.5 | 1 | |
| 44.0 | 1 | |
| 43.3 | 1 | |
| 41.7 | 1 | |
| 40.6 | 1 | |
| 39.5 | 1 |
사물인터넷
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 26 |
|---|---|
| Distinct (%) | 89.7% |
| Missing | 3 |
| Missing (%) | 9.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.3 |
| Minimum | 0.4 |
|---|---|
| Maximum | 58.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 0.4 |
|---|---|
| 5-th percentile | 2.76 |
| Q1 | 8.9 |
| median | 13 |
| Q3 | 17.8 |
| 95-th percentile | 30.98 |
| Maximum | 58.3 |
| Range | 57.9 |
| Interquartile range (IQR) | 8.9 |
Descriptive statistics
| Standard deviation | 11.329639 |
|---|---|
| Coefficient of variation (CV) | 0.74049926 |
| Kurtosis | 6.5540201 |
| Mean | 15.3 |
| Median Absolute Deviation (MAD) | 4.3 |
| Skewness | 2.104984 |
| Sum | 443.7 |
| Variance | 128.36071 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 8.7 | 2 | 6.2% |
| 11.5 | 2 | 6.2% |
| 13.2 | 2 | 6.2% |
| 5.3 | 1 | 3.1% |
| 12.3 | 1 | 3.1% |
| 29.3 | 1 | 3.1% |
| 8.9 | 1 | 3.1% |
| 13.0 | 1 | 3.1% |
| 14.5 | 1 | 3.1% |
| 12.0 | 1 | 3.1% |
| Other values (16) | 16 | |
| (Missing) | 3 | 9.4% |
| Value | Count | Frequency (%) |
| 0.4 | 1 | |
| 2.4 | 1 | |
| 3.3 | 1 | |
| 5.3 | 1 | |
| 6.1 | 1 | |
| 8.7 | 2 | |
| 8.9 | 1 | |
| 10.9 | 1 | |
| 11.5 | 2 | |
| 11.8 | 1 |
| Value | Count | Frequency (%) |
| 58.3 | 1 | |
| 32.1 | 1 | |
| 29.3 | 1 | |
| 26.5 | 1 | |
| 24.5 | 1 | |
| 23.2 | 1 | |
| 21.7 | 1 | |
| 17.8 | 1 | |
| 15.6 | 1 | |
| 14.5 | 1 |
클라우드
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 28 |
|---|---|
| Distinct (%) | 93.3% |
| Missing | 2 |
| Missing (%) | 6.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.286667 |
| Minimum | 1.9 |
|---|---|
| Maximum | 41 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 1.9 |
|---|---|
| 5-th percentile | 2.17 |
| Q1 | 6.8 |
| median | 12.75 |
| Q3 | 16.5 |
| 95-th percentile | 28.67 |
| Maximum | 41 |
| Range | 39.1 |
| Interquartile range (IQR) | 9.7 |
Descriptive statistics
| Standard deviation | 8.7637865 |
|---|---|
| Coefficient of variation (CV) | 0.65959256 |
| Kurtosis | 2.3077004 |
| Mean | 13.286667 |
| Median Absolute Deviation (MAD) | 5.35 |
| Skewness | 1.2641832 |
| Sum | 398.6 |
| Variance | 76.803954 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=28)
| Value | Count | Frequency (%) |
| 13.5 | 2 | 6.2% |
| 1.9 | 2 | 6.2% |
| 13.3 | 1 | 3.1% |
| 5.3 | 1 | 3.1% |
| 17.3 | 1 | 3.1% |
| 11.5 | 1 | 3.1% |
| 12.9 | 1 | 3.1% |
| 6.7 | 1 | 3.1% |
| 41.0 | 1 | 3.1% |
| 20.7 | 1 | 3.1% |
| Other values (18) | 18 | |
| (Missing) | 2 | 6.2% |
| Value | Count | Frequency (%) |
| 1.9 | 2 | |
| 2.5 | 1 | |
| 4.1 | 1 | |
| 5.3 | 1 | |
| 5.5 | 1 | |
| 6.5 | 1 | |
| 6.7 | 1 | |
| 7.1 | 1 | |
| 7.7 | 1 | |
| 9.2 | 1 |
| Value | Count | Frequency (%) |
| 41.0 | 1 | |
| 30.2 | 1 | |
| 26.8 | 1 | |
| 21.2 | 1 | |
| 21.1 | 1 | |
| 20.7 | 1 | |
| 17.3 | 1 | |
| 16.6 | 1 | |
| 16.2 | 1 | |
| 15.1 | 1 |
모바일_5G
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 28 |
|---|---|
| Distinct (%) | 96.6% |
| Missing | 3 |
| Missing (%) | 9.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16.468966 |
| Minimum | 0.5 |
|---|---|
| Maximum | 66.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 0.5 |
|---|---|
| 5-th percentile | 3.24 |
| Q1 | 6.7 |
| median | 11.9 |
| Q3 | 17.9 |
| 95-th percentile | 45.34 |
| Maximum | 66.1 |
| Range | 65.6 |
| Interquartile range (IQR) | 11.2 |
Descriptive statistics
| Standard deviation | 15.443239 |
|---|---|
| Coefficient of variation (CV) | 0.93771764 |
| Kurtosis | 2.9355333 |
| Mean | 16.468966 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 1.7765769 |
| Sum | 477.6 |
| Variance | 238.49365 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=28)
| Value | Count | Frequency (%) |
| 4.8 | 2 | 6.2% |
| 13.9 | 1 | 3.1% |
| 34.0 | 1 | 3.1% |
| 5.3 | 1 | 3.1% |
| 4.3 | 1 | 3.1% |
| 24.1 | 1 | 3.1% |
| 11.9 | 1 | 3.1% |
| 66.1 | 1 | 3.1% |
| 14.2 | 1 | 3.1% |
| 3.3 | 1 | 3.1% |
| Other values (18) | 18 | |
| (Missing) | 3 | 9.4% |
| Value | Count | Frequency (%) |
| 0.5 | 1 | |
| 3.2 | 1 | |
| 3.3 | 1 | |
| 4.3 | 1 | |
| 4.8 | 2 | |
| 5.3 | 1 | |
| 6.7 | 1 | |
| 7.4 | 1 | |
| 8.6 | 1 | |
| 9.4 | 1 |
| Value | Count | Frequency (%) |
| 66.1 | 1 | |
| 45.9 | 1 | |
| 44.5 | 1 | |
| 40.2 | 1 | |
| 34.0 | 1 | |
| 24.1 | 1 | |
| 20.5 | 1 | |
| 17.9 | 1 | |
| 16.0 | 1 | |
| 14.2 | 1 |
가상_증강현실
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 26 |
|---|---|
| Distinct (%) | 96.3% |
| Missing | 5 |
| Missing (%) | 15.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.507407 |
| Minimum | 1.7 |
|---|---|
| Maximum | 55.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 1.7 |
|---|---|
| 5-th percentile | 1.86 |
| Q1 | 5.5 |
| median | 9.8 |
| Q3 | 15.95 |
| 95-th percentile | 31.97 |
| Maximum | 55.5 |
| Range | 53.8 |
| Interquartile range (IQR) | 10.45 |
Descriptive statistics
| Standard deviation | 11.872105 |
|---|---|
| Coefficient of variation (CV) | 0.94920587 |
| Kurtosis | 5.8684774 |
| Mean | 12.507407 |
| Median Absolute Deviation (MAD) | 4.8 |
| Skewness | 2.168038 |
| Sum | 337.7 |
| Variance | 140.94687 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 9.9 | 2 | 6.2% |
| 7.2 | 1 | 3.1% |
| 21.9 | 1 | 3.1% |
| 17.3 | 1 | 3.1% |
| 13.8 | 1 | 3.1% |
| 5.4 | 1 | 3.1% |
| 4.1 | 1 | 3.1% |
| 1.7 | 1 | 3.1% |
| 2.0 | 1 | 3.1% |
| 7.8 | 1 | 3.1% |
| Other values (16) | 16 | |
| (Missing) | 5 | 15.6% |
| Value | Count | Frequency (%) |
| 1.7 | 1 | |
| 1.8 | 1 | |
| 2.0 | 1 | |
| 2.3 | 1 | |
| 2.9 | 1 | |
| 4.1 | 1 | |
| 5.4 | 1 | |
| 5.6 | 1 | |
| 5.9 | 1 | |
| 7.0 | 1 |
| Value | Count | Frequency (%) |
| 55.5 | 1 | |
| 35.0 | 1 | |
| 24.9 | 1 | |
| 22.9 | 1 | |
| 21.9 | 1 | |
| 19.3 | 1 | |
| 17.3 | 1 | |
| 14.6 | 1 | |
| 13.8 | 1 | |
| 11.8 | 1 |
3D 프린팅
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 10 |
|---|---|
| Distinct (%) | 83.3% |
| Missing | 20 |
| Missing (%) | 62.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.0583333 |
| Minimum | 0.4 |
|---|---|
| Maximum | 11.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 0.4 |
|---|---|
| 5-th percentile | 0.4 |
| Q1 | 1 |
| median | 2.75 |
| Q3 | 3.725 |
| 95-th percentile | 7.955 |
| Maximum | 11.2 |
| Range | 10.8 |
| Interquartile range (IQR) | 2.725 |
Descriptive statistics
| Standard deviation | 2.9986234 |
|---|---|
| Coefficient of variation (CV) | 0.98047632 |
| Kurtosis | 4.8771049 |
| Mean | 3.0583333 |
| Median Absolute Deviation (MAD) | 1.5 |
| Skewness | 1.9831389 |
| Sum | 36.7 |
| Variance | 8.9917424 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 2.9 | 2 | 6.2% |
| 0.4 | 2 | 6.2% |
| 11.2 | 1 | 3.1% |
| 3.6 | 1 | 3.1% |
| 2.6 | 1 | 3.1% |
| 1.5 | 1 | 3.1% |
| 4.1 | 1 | 3.1% |
| 5.3 | 1 | 3.1% |
| 0.7 | 1 | 3.1% |
| 1.1 | 1 | 3.1% |
| (Missing) | 20 |
| Value | Count | Frequency (%) |
| 0.4 | 2 | |
| 0.7 | 1 | |
| 1.1 | 1 | |
| 1.5 | 1 | |
| 2.6 | 1 | |
| 2.9 | 2 | |
| 3.6 | 1 | |
| 4.1 | 1 | |
| 5.3 | 1 | |
| 11.2 | 1 |
| Value | Count | Frequency (%) |
| 11.2 | 1 | |
| 5.3 | 1 | |
| 4.1 | 1 | |
| 3.6 | 1 | |
| 2.9 | 2 | |
| 2.6 | 1 | |
| 1.5 | 1 | |
| 1.1 | 1 | |
| 0.7 | 1 | |
| 0.4 | 2 |
로봇공학
Real number (ℝ)
MISSING
| Distinct | 16 |
|---|---|
| Distinct (%) | 88.9% |
| Missing | 14 |
| Missing (%) | 43.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.6333333 |
| Minimum | 1.1 |
|---|---|
| Maximum | 25.8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 1.1 |
|---|---|
| 5-th percentile | 1.27 |
| Q1 | 4.875 |
| median | 8.95 |
| Q3 | 13.3 |
| 95-th percentile | 19.935 |
| Maximum | 25.8 |
| Range | 24.7 |
| Interquartile range (IQR) | 8.425 |
Descriptive statistics
| Standard deviation | 6.4735662 |
|---|---|
| Coefficient of variation (CV) | 0.67199649 |
| Kurtosis | 0.78014826 |
| Mean | 9.6333333 |
| Median Absolute Deviation (MAD) | 4.3 |
| Skewness | 0.81641566 |
| Sum | 173.4 |
| Variance | 41.907059 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 3.1 | 2 | 6.2% |
| 11.3 | 2 | 6.2% |
| 1.3 | 1 | 3.1% |
| 18.9 | 1 | 3.1% |
| 4.8 | 1 | 3.1% |
| 5.1 | 1 | 3.1% |
| 14.7 | 1 | 3.1% |
| 6.3 | 1 | 3.1% |
| 9.4 | 1 | 3.1% |
| 8.0 | 1 | 3.1% |
| Other values (6) | 6 | |
| (Missing) | 14 |
| Value | Count | Frequency (%) |
| 1.1 | 1 | |
| 1.3 | 1 | |
| 3.1 | 2 | |
| 4.8 | 1 | |
| 5.1 | 1 | |
| 6.3 | 1 | |
| 8.0 | 1 | |
| 8.5 | 1 | |
| 9.4 | 1 | |
| 11.3 | 2 |
| Value | Count | Frequency (%) |
| 25.8 | 1 | |
| 18.9 | 1 | |
| 14.7 | 1 | |
| 14.3 | 1 | |
| 13.4 | 1 | |
| 13.0 | 1 | |
| 11.3 | 2 | |
| 9.4 | 1 | |
| 8.5 | 1 | |
| 8.0 | 1 |
블록체인
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 18 |
|---|---|
| Distinct (%) | 81.8% |
| Missing | 10 |
| Missing (%) | 31.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.8545455 |
| Minimum | 0.3 |
|---|---|
| Maximum | 21.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 0.3 |
|---|---|
| 5-th percentile | 1.805 |
| Q1 | 2.5 |
| median | 4.4 |
| Q3 | 7.75 |
| 95-th percentile | 13.435 |
| Maximum | 21.9 |
| Range | 21.6 |
| Interquartile range (IQR) | 5.25 |
Descriptive statistics
| Standard deviation | 5.0401934 |
|---|---|
| Coefficient of variation (CV) | 0.8609026 |
| Kurtosis | 3.8059184 |
| Mean | 5.8545455 |
| Median Absolute Deviation (MAD) | 2.1 |
| Skewness | 1.818866 |
| Sum | 128.8 |
| Variance | 25.40355 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 4.5 | 3 | 9.4% |
| 2.5 | 2 | 6.2% |
| 1.9 | 2 | 6.2% |
| 4.0 | 1 | 3.1% |
| 5.8 | 1 | 3.1% |
| 21.9 | 1 | 3.1% |
| 5.3 | 1 | 3.1% |
| 8.4 | 1 | 3.1% |
| 2.1 | 1 | 3.1% |
| 9.8 | 1 | 3.1% |
| Other values (8) | 8 | |
| (Missing) | 10 |
| Value | Count | Frequency (%) |
| 0.3 | 1 | 3.1% |
| 1.8 | 1 | 3.1% |
| 1.9 | 2 | |
| 2.1 | 1 | 3.1% |
| 2.5 | 2 | |
| 3.0 | 1 | 3.1% |
| 4.0 | 1 | 3.1% |
| 4.1 | 1 | 3.1% |
| 4.3 | 1 | 3.1% |
| 4.5 | 3 |
| Value | Count | Frequency (%) |
| 21.9 | 1 | 3.1% |
| 13.5 | 1 | 3.1% |
| 12.2 | 1 | 3.1% |
| 10.0 | 1 | 3.1% |
| 9.8 | 1 | 3.1% |
| 8.4 | 1 | 3.1% |
| 5.8 | 1 | 3.1% |
| 5.3 | 1 | 3.1% |
| 4.5 | 3 | |
| 4.3 | 1 | 3.1% |
반도체/디스플레이
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 21 |
|---|---|
| Distinct (%) | 91.3% |
| Missing | 9 |
| Missing (%) | 28.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.6521739 |
| Minimum | 1 |
|---|---|
| Maximum | 61.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1.22 |
| Q1 | 3.2 |
| median | 7.4 |
| Q3 | 8.95 |
| 95-th percentile | 27.76 |
| Maximum | 61.3 |
| Range | 60.3 |
| Interquartile range (IQR) | 5.75 |
Descriptive statistics
| Standard deviation | 12.792678 |
|---|---|
| Coefficient of variation (CV) | 1.3253675 |
| Kurtosis | 12.816163 |
| Mean | 9.6521739 |
| Median Absolute Deviation (MAD) | 3.6 |
| Skewness | 3.374436 |
| Sum | 222 |
| Variance | 163.65261 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 8.4 | 2 | 6.2% |
| 3.8 | 2 | 6.2% |
| 12.8 | 1 | 3.1% |
| 2.6 | 1 | 3.1% |
| 4.8 | 1 | 3.1% |
| 8.8 | 1 | 3.1% |
| 12.7 | 1 | 3.1% |
| 8.2 | 1 | 3.1% |
| 5.4 | 1 | 3.1% |
| 7.4 | 1 | 3.1% |
| Other values (11) | 11 | |
| (Missing) | 9 |
| Value | Count | Frequency (%) |
| 1.0 | 1 | |
| 1.2 | 1 | |
| 1.4 | 1 | |
| 2.1 | 1 | |
| 2.2 | 1 | |
| 2.6 | 1 | |
| 3.8 | 2 | |
| 4.8 | 1 | |
| 5.4 | 1 | |
| 6.3 | 1 |
| Value | Count | Frequency (%) |
| 61.3 | 1 | |
| 29.4 | 1 | |
| 13.0 | 1 | |
| 12.8 | 1 | |
| 12.7 | 1 | |
| 9.1 | 1 | |
| 8.8 | 1 | |
| 8.4 | 2 | |
| 8.2 | 1 | |
| 7.9 | 1 |
이차전지
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 13 |
|---|---|
| Distinct (%) | 86.7% |
| Missing | 17 |
| Missing (%) | 53.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.9666667 |
| Minimum | 0.2 |
|---|---|
| Maximum | 4.8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 0.2 |
|---|---|
| 5-th percentile | 0.27 |
| Q1 | 0.75 |
| median | 1.6 |
| Q3 | 2.7 |
| 95-th percentile | 4.73 |
| Maximum | 4.8 |
| Range | 4.6 |
| Interquartile range (IQR) | 1.95 |
Descriptive statistics
| Standard deviation | 1.5360742 |
|---|---|
| Coefficient of variation (CV) | 0.78105466 |
| Kurtosis | -0.56136697 |
| Mean | 1.9666667 |
| Median Absolute Deviation (MAD) | 0.9 |
| Skewness | 0.79431536 |
| Sum | 29.5 |
| Variance | 2.3595238 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 0.7 | 2 | 6.2% |
| 2.1 | 2 | 6.2% |
| 0.9 | 1 | 3.1% |
| 3.2 | 1 | 3.1% |
| 0.8 | 1 | 3.1% |
| 2.2 | 1 | 3.1% |
| 1.6 | 1 | 3.1% |
| 4.7 | 1 | 3.1% |
| 3.9 | 1 | 3.1% |
| 1.3 | 1 | 3.1% |
| Other values (3) | 3 | 9.4% |
| (Missing) | 17 |
| Value | Count | Frequency (%) |
| 0.2 | 1 | |
| 0.3 | 1 | |
| 0.7 | 2 | |
| 0.8 | 1 | |
| 0.9 | 1 | |
| 1.3 | 1 | |
| 1.6 | 1 | |
| 2.1 | 2 | |
| 2.2 | 1 | |
| 3.2 | 1 |
| Value | Count | Frequency (%) |
| 4.8 | 1 | |
| 4.7 | 1 | |
| 3.9 | 1 | |
| 3.2 | 1 | |
| 2.2 | 1 | |
| 2.1 | 2 | |
| 1.6 | 1 | |
| 1.3 | 1 | |
| 0.9 | 1 | |
| 0.8 | 1 |
기타
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 22 |
|---|---|
| Distinct (%) | 91.7% |
| Missing | 8 |
| Missing (%) | 25.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.5708333 |
| Minimum | 1 |
|---|---|
| Maximum | 21.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1.9 |
| Q1 | 3.825 |
| median | 8.9 |
| Q3 | 11.125 |
| 95-th percentile | 19.805 |
| Maximum | 21.1 |
| Range | 20.1 |
| Interquartile range (IQR) | 7.3 |
Descriptive statistics
| Standard deviation | 5.7032774 |
|---|---|
| Coefficient of variation (CV) | 0.66542857 |
| Kurtosis | 0.047405857 |
| Mean | 8.5708333 |
| Median Absolute Deviation (MAD) | 3.75 |
| Skewness | 0.71623882 |
| Sum | 205.7 |
| Variance | 32.527373 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=22)
| Value | Count | Frequency (%) |
| 9.9 | 2 | 6.2% |
| 1.9 | 2 | 6.2% |
| 11.1 | 1 | 3.1% |
| 2.1 | 1 | 3.1% |
| 3.3 | 1 | 3.1% |
| 8.7 | 1 | 3.1% |
| 9.7 | 1 | 3.1% |
| 13.0 | 1 | 3.1% |
| 5.1 | 1 | 3.1% |
| 7.2 | 1 | 3.1% |
| Other values (12) | 12 | |
| (Missing) | 8 |
| Value | Count | Frequency (%) |
| 1.0 | 1 | |
| 1.9 | 2 | |
| 2.0 | 1 | |
| 2.1 | 1 | |
| 3.3 | 1 | |
| 4.0 | 1 | |
| 5.1 | 1 | |
| 5.9 | 1 | |
| 7.1 | 1 | |
| 7.2 | 1 |
| Value | Count | Frequency (%) |
| 21.1 | 1 | |
| 20.0 | 1 | |
| 18.7 | 1 | |
| 13.0 | 1 | |
| 12.6 | 1 | |
| 11.2 | 1 | |
| 11.1 | 1 | |
| 9.9 | 2 | |
| 9.7 | 1 | |
| 9.2 | 1 |
| 구분 | 상세구분 | 인공지능 | 빅데이터 | 사물인터넷 | 클라우드 | 모바일_5G | 가상_증강현실 | 3D 프린팅 | 로봇공학 | 블록체인 | 반도체/디스플레이 | 이차전지 | 기타 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 구분 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.407 | 0.000 | 0.378 | 0.427 | 0.000 | 0.000 | 0.627 | 0.000 |
| 상세구분 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| 인공지능 | 0.000 | 1.000 | 1.000 | 0.000 | 0.745 | 0.244 | 0.705 | 0.759 | 0.000 | 0.000 | 0.858 | 0.593 | 0.000 | 0.470 |
| 빅데이터 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.575 | 0.783 | 0.000 | 0.000 | 0.669 | 0.516 | 0.697 | 0.663 |
| 사물인터넷 | 0.000 | 1.000 | 0.745 | 0.000 | 1.000 | 0.722 | 0.000 | 0.498 | 0.242 | 0.592 | 0.684 | 0.938 | 0.000 | 0.000 |
| 클라우드 | 0.000 | 1.000 | 0.244 | 0.000 | 0.722 | 1.000 | 0.789 | 0.000 | 0.431 | 0.271 | 0.000 | 0.740 | 0.000 | 0.721 |
| 모바일_5G | 0.407 | 1.000 | 0.705 | 0.575 | 0.000 | 0.789 | 1.000 | 0.884 | 0.525 | 0.000 | 0.722 | 0.000 | 0.561 | 0.561 |
| 가상_증강현실 | 0.000 | 1.000 | 0.759 | 0.783 | 0.498 | 0.000 | 0.884 | 1.000 | 0.719 | 0.286 | 0.857 | 0.655 | 0.726 | 0.486 |
| 3D 프린팅 | 0.378 | 1.000 | 0.000 | 0.000 | 0.242 | 0.431 | 0.525 | 0.719 | 1.000 | 0.000 | 0.000 | 0.982 | 0.898 | 0.561 |
| 로봇공학 | 0.427 | 1.000 | 0.000 | 0.000 | 0.592 | 0.271 | 0.000 | 0.286 | 0.000 | 1.000 | 0.671 | 0.000 | 0.732 | 0.169 |
| 블록체인 | 0.000 | 1.000 | 0.858 | 0.669 | 0.684 | 0.000 | 0.722 | 0.857 | 0.000 | 0.671 | 1.000 | 0.000 | 0.243 | 0.648 |
| 반도체/디스플레이 | 0.000 | 1.000 | 0.593 | 0.516 | 0.938 | 0.740 | 0.000 | 0.655 | 0.982 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 |
| 이차전지 | 0.627 | 1.000 | 0.000 | 0.697 | 0.000 | 0.000 | 0.561 | 0.726 | 0.898 | 0.732 | 0.243 | 0.000 | 1.000 | 0.568 |
| 기타 | 0.000 | 1.000 | 0.470 | 0.663 | 0.000 | 0.721 | 0.561 | 0.486 | 0.561 | 0.169 | 0.648 | 0.000 | 0.568 | 1.000 |
| 인공지능 | 빅데이터 | 사물인터넷 | 클라우드 | 모바일_5G | 가상_증강현실 | 3D 프린팅 | 로봇공학 | 블록체인 | 반도체/디스플레이 | 이차전지 | 기타 | 구분 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 인공지능 | 1.000 | 0.142 | -0.039 | -0.028 | -0.597 | -0.413 | 0.414 | 0.348 | -0.257 | -0.158 | -0.029 | -0.505 | 0.000 |
| 빅데이터 | 0.142 | 1.000 | -0.465 | 0.100 | 0.077 | 0.018 | -0.237 | 0.062 | 0.274 | -0.382 | -0.352 | -0.289 | 0.000 |
| 사물인터넷 | -0.039 | -0.465 | 1.000 | 0.019 | -0.488 | -0.220 | 0.522 | -0.207 | -0.346 | 0.427 | 0.284 | -0.227 | 0.000 |
| 클라우드 | -0.028 | 0.100 | 0.019 | 1.000 | -0.152 | -0.277 | -0.160 | -0.339 | 0.224 | 0.125 | 0.559 | -0.251 | 0.000 |
| 모바일_5G | -0.597 | 0.077 | -0.488 | -0.152 | 1.000 | 0.594 | -0.548 | 0.030 | 0.392 | -0.086 | 0.007 | 0.485 | 0.248 |
| 가상_증강현실 | -0.413 | 0.018 | -0.220 | -0.277 | 0.594 | 1.000 | -0.183 | 0.301 | 0.596 | -0.210 | -0.077 | 0.251 | 0.000 |
| 3D 프린팅 | 0.414 | -0.237 | 0.522 | -0.160 | -0.548 | -0.183 | 1.000 | 0.205 | -0.275 | 0.689 | 0.657 | -0.169 | 0.077 |
| 로봇공학 | 0.348 | 0.062 | -0.207 | -0.339 | 0.030 | 0.301 | 0.205 | 1.000 | -0.298 | -0.472 | -0.410 | 0.086 | 0.180 |
| 블록체인 | -0.257 | 0.274 | -0.346 | 0.224 | 0.392 | 0.596 | -0.275 | -0.298 | 1.000 | 0.190 | 0.305 | 0.003 | 0.000 |
| 반도체/디스플레이 | -0.158 | -0.382 | 0.427 | 0.125 | -0.086 | -0.210 | 0.689 | -0.472 | 0.190 | 1.000 | 0.200 | -0.237 | 0.000 |
| 이차전지 | -0.029 | -0.352 | 0.284 | 0.559 | 0.007 | -0.077 | 0.657 | -0.410 | 0.305 | 0.200 | 1.000 | 0.204 | 0.323 |
| 기타 | -0.505 | -0.289 | -0.227 | -0.251 | 0.485 | 0.251 | -0.169 | 0.086 | 0.003 | -0.237 | 0.204 | 1.000 | 0.000 |
| 구분 | 0.000 | 0.000 | 0.000 | 0.000 | 0.248 | 0.000 | 0.077 | 0.180 | 0.000 | 0.000 | 0.323 | 0.000 | 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.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| 구분 | 상세구분 | 인공지능 | 빅데이터 | 사물인터넷 | 클라우드 | 모바일_5G | 가상_증강현실 | 3D 프린팅 | 로봇공학 | 블록체인 | 반도체/디스플레이 | 이차전지 | 기타 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 업종 | 정보통신방송서비스 | 26.5 | 44.5 | 3.3 | 12.3 | 20.5 | 19.3 | <NA> | <NA> | 10.0 | <NA> | <NA> | 9.1 |
| 1 | 업종 | 정보통신방송기기 | 50.3 | 22.5 | 23.2 | 4.1 | 6.7 | 1.8 | 2.9 | 9.4 | 0.3 | 13.0 | 0.9 | 4.0 |
| 2 | 업종 | 소프트웨어 | 45.8 | 39.5 | 8.7 | 12.6 | 12.6 | 9.8 | 0.4 | 8.0 | 4.0 | 1.2 | 0.7 | 9.9 |
| 3 | 세부업종 | 통신서비스 | 22.7 | 41.7 | 58.3 | 30.2 | <NA> | <NA> | <NA> | <NA> | <NA> | <NA> | <NA> | <NA> |
| 4 | 세부업종 | 방송서비스 | 16.6 | <NA> | <NA> | 16.6 | 44.5 | 55.5 | <NA> | <NA> | <NA> | <NA> | <NA> | <NA> |
| 5 | 세부업종 | 정보서비스 | 28.4 | 52.0 | 0.4 | 10.5 | 17.9 | 14.6 | <NA> | <NA> | 12.2 | <NA> | <NA> | 11.1 |
| 6 | 세부업종 | 전자부품 | 2.1 | 4.2 | 32.1 | 26.8 | 3.2 | <NA> | <NA> | 1.1 | <NA> | 29.4 | 2.1 | 2.1 |
| 7 | 세부업종 | 컴퓨터 및 주변기기 | 48.3 | <NA> | <NA> | 5.5 | <NA> | 35.0 | 11.2 | <NA> | <NA> | 61.3 | <NA> | 11.2 |
| 8 | 세부업종 | 통신 및 방송기기 | 23.0 | 2.2 | 13.9 | 2.5 | 45.9 | <NA> | <NA> | <NA> | 2.5 | 7.9 | <NA> | 20.0 |
| 9 | 세부업종 | 영상 및 음향기기 | 34.5 | 3.6 | 26.5 | 9.2 | <NA> | 22.9 | <NA> | <NA> | <NA> | <NA> | 3.2 | <NA> |
| 구분 | 상세구분 | 인공지능 | 빅데이터 | 사물인터넷 | 클라우드 | 모바일_5G | 가상_증강현실 | 3D 프린팅 | 로봇공학 | 블록체인 | 반도체/디스플레이 | 이차전지 | 기타 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 22 | 종사자규모 | 20~49명 | 38.6 | 44.0 | 13.2 | 16.2 | 11.3 | 7.8 | 0.7 | <NA> | 5.8 | 7.4 | <NA> | 2.0 |
| 23 | 종사자규모 | 50~99명 | 52.5 | 26.6 | 6.1 | 15.1 | 3.3 | 2.0 | <NA> | <NA> | <NA> | 5.4 | 3.9 | 7.2 |
| 24 | 종사자규모 | 100~299명 | 51.2 | 37.0 | 12.0 | 20.7 | 14.2 | 1.7 | <NA> | 3.1 | 9.8 | 8.2 | 2.1 | 5.1 |
| 25 | 종사자규모 | 300명이상 | 20.6 | 33.6 | 8.7 | 41.0 | 66.1 | <NA> | <NA> | <NA> | <NA> | <NA> | <NA> | <NA> |
| 26 | 권역별 | 서울 | 33.1 | 26.0 | 14.5 | 6.7 | 11.9 | 4.1 | 1.1 | 6.3 | 2.1 | <NA> | <NA> | 13.0 |
| 27 | 권역별 | 인천/경기 | 24.9 | 19.8 | 13.0 | 12.9 | 24.1 | 9.9 | <NA> | 14.7 | 4.5 | 12.7 | 1.3 | 9.7 |
| 28 | 권역별 | 대전/세종/충청/강원 | 70.1 | 55.5 | 8.9 | 11.5 | 4.3 | 5.4 | 2.9 | 5.1 | <NA> | 8.8 | 0.3 | 1.9 |
| 29 | 권역별 | 부산/울산/경남 | 68.2 | 25.3 | 29.3 | 17.3 | 4.8 | 13.8 | <NA> | 4.8 | 8.4 | 4.8 | 4.8 | 8.7 |
| 30 | 권역별 | 대구/경북 | 51.5 | 25.4 | 12.3 | 5.3 | 5.3 | 17.3 | <NA> | 18.9 | 5.3 | 2.6 | 0.2 | 3.3 |
| 31 | 권역별 | 광주/전라/제주 | 4.5 | 49.0 | <NA> | 1.9 | 34.0 | 21.9 | <NA> | <NA> | 21.9 | <NA> | <NA> | <NA> |