gimi9 Pandas Profiling

Dataset statistics

Number of variables	11
Number of observations	154
Missing cells	11
Missing cells (%)	0.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	14.4 KiB
Average record size in memory	95.9 B

Variable types

Numeric	7
Text	4

Dataset

Description	대전광역시 위원회 양성비율 현황입니다.(전체위원수, 남성위원수, 여성위원 수, 여성비율, 남성비율, 부서 등 포함)
Author	대전광역시
URL	https://www.data.go.kr/data/15077100/fileData.do

Alerts

`연번` is highly overall correlated with `위촉직 남성(명)` and 2 other fields	High correlation
`전체 위원(명)` is highly overall correlated with `위촉직 위원(명)` and 2 other fields	High correlation
`위촉직 위원(명)` is highly overall correlated with `전체 위원(명)` and 2 other fields	High correlation
`위촉직 여성(명)` is highly overall correlated with `전체 위원(명)` and 1 other fields	High correlation
`위촉직 남성(명)` is highly overall correlated with `연번` and 4 other fields	High correlation
`위촉직여성 비율(%)` is highly overall correlated with `연번` and 2 other fields	High correlation
`위촉직남성 비율(%)` is highly overall correlated with `연번` and 2 other fields	High correlation
`위촉직 여성(명)` has 4 (2.6%) zeros	Zeros
`위촉직여성 비율(%)` has 4 (2.6%) zeros	Zeros

Reproduction

Analysis started	2023-12-12 12:55:58.413365
Analysis finished	2023-12-12 12:56:04.734407
Duration	6.32 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

연번
Real number (ℝ)

HIGH CORRELATION

Distinct	153
Distinct (%)	100.0%
Missing	1
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	77

Minimum	1
Maximum	153
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	1
5-th percentile	8.6
Q1	39
median	77
Q3	115
95-th percentile	145.4
Maximum	153
Range	152
Interquartile range (IQR)	76

Descriptive statistics

Standard deviation	44.311398
Coefficient of variation (CV)	0.5754727
Kurtosis	-1.2
Mean	77
Median Absolute Deviation (MAD)	38
Skewness	0
Sum	11781
Variance	1963.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.6%
106	1	0.6%
99	1	0.6%
100	1	0.6%
101	1	0.6%
102	1	0.6%
103	1	0.6%
104	1	0.6%
105	1	0.6%
107	1	0.6%
Other values (143)	143	92.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.6%
2	1	0.6%
3	1	0.6%
4	1	0.6%
5	1	0.6%
6	1	0.6%
7	1	0.6%
8	1	0.6%
9	1	0.6%
10	1	0.6%

Value	Count	Frequency (%)
153	1	0.6%
152	1	0.6%
151	1	0.6%
150	1	0.6%
149	1	0.6%
148	1	0.6%
147	1	0.6%
146	1	0.6%
145	1	0.6%
144	1	0.6%

위원회명
Text

Distinct	153
Distinct (%)	100.0%
Missing	1
Missing (%)	0.6%
Memory size	1.3 KiB

Length

Max length	28
Median length	18
Mean length	9.875817
Min length	5

Characters and Unicode

Total characters	1511
Distinct characters	207
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	153 ?
Unique (%)	100.0%

Sample

1st row	저수지.댐안전관리위원회
2nd row	산업안전보건위원회
3rd row	지역건설산업활성화협의회
4th row	지하안전위원회
5th row	외국인투자유치협의회

Value	Count	Frequency (%)
가축방역심의회	1	0.7%
미술작품심의위원회	1	0.7%
전통사찰보존위원회	1	0.7%
구조구급정책협의회	1	0.7%
농업발전기금운용심의위원회	1	0.7%
대전시립연정국악원자문위원회	1	0.7%
도서관정보서비스위원회	1	0.7%
도시.주거환경정비기금운용심의위원회	1	0.7%
무형문화재위원회	1	0.7%
빛공해방지위원회	1	0.7%
Other values (143)	143	93.5%

Most occurring characters

Value	Count	Frequency (%)
회	159	10.5%
원	150	9.9%
위	132	8.7%
의	60	4.0%
지	49	3.2%
심	47	3.1%
정	31	2.1%
관	23	1.5%
사	21	1.4%
영	21	1.4%
Other values (197)	818	54.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1501	99.3%
Other Punctuation	4	0.3%
Open Punctuation	3	0.2%
Close Punctuation	3	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
회	159	10.6%
원	150	10.0%
위	132	8.8%
의	60	4.0%
지	49	3.3%
심	47	3.1%
정	31	2.1%
관	23	1.5%
사	21	1.4%
영	21	1.4%
Other values (193)	808	53.8%

Other Punctuation

Value	Count	Frequency (%)
.	2	50.0%
·	2	50.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1501	99.3%
Common	10	0.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
회	159	10.6%
원	150	10.0%
위	132	8.8%
의	60	4.0%
지	49	3.3%
심	47	3.1%
정	31	2.1%
관	23	1.5%
사	21	1.4%
영	21	1.4%
Other values (193)	808	53.8%

Common

Value	Count	Frequency (%)
(	3	30.0%
)	3	30.0%
.	2	20.0%
·	2	20.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1501	99.3%
ASCII	8	0.5%
None	2	0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
회	159	10.6%
원	150	10.0%
위	132	8.8%
의	60	4.0%
지	49	3.3%
심	47	3.1%
정	31	2.1%
관	23	1.5%
사	21	1.4%
영	21	1.4%
Other values (193)	808	53.8%

ASCII

Value	Count	Frequency (%)
(	3	37.5%
)	3	37.5%
.	2	25.0%

None

Value	Count	Frequency (%)
·	2	100.0%

전체 위원(명)
Real number (ℝ)

HIGH CORRELATION

Distinct	33
Distinct (%)	21.6%
Missing	1
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	17.248366

Minimum	5
Maximum	237
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	5
5-th percentile	6.6
Q1	11
median	14
Q3	18
95-th percentile	32
Maximum	237
Range	232
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	20.569293
Coefficient of variation (CV)	1.1925357
Kurtosis	87.998819
Mean	17.248366
Median Absolute Deviation (MAD)	4
Skewness	8.6120346
Sum	2639
Variance	423.0958
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
15	24	15.6%
11	14	9.1%
10	12	7.8%
12	11	7.1%
9	11	7.1%
14	9	5.8%
13	7	4.5%
18	7	4.5%
20	6	3.9%
7	6	3.9%
Other values (23)	46	29.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	5	3.2%
6	3	1.9%
7	6	3.9%
8	1	0.6%
9	11	7.1%
10	12	7.8%
11	14	9.1%
12	11	7.1%
13	7	4.5%
14	9	5.8%

Value	Count	Frequency (%)
237	1	0.6%
100	1	0.6%
48	1	0.6%
45	1	0.6%
44	1	0.6%
37	2	1.3%
35	1	0.6%
30	2	1.3%
29	1	0.6%
28	1	0.6%

위촉직 위원(명)
Real number (ℝ)

HIGH CORRELATION

Distinct	31
Distinct (%)	20.3%
Missing	1
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	14.444444

Minimum	2
Maximum	235
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	8
median	11
Q3	15
95-th percentile	27.4
Maximum	235
Range	233
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	20.404427
Coefficient of variation (CV)	1.4126142
Kurtosis	92.54131
Mean	14.444444
Median Absolute Deviation (MAD)	3
Skewness	8.9346567
Sum	2210
Variance	416.34064
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
9	16	10.4%
7	13	8.4%
14	13	8.4%
10	13	8.4%
11	11	7.1%
12	11	7.1%
13	11	7.1%
15	8	5.2%
6	7	4.5%
8	6	3.9%
Other values (21)	44	28.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.6%
3	3	1.9%
4	3	1.9%
5	6	3.9%
6	7	4.5%
7	13	8.4%
8	6	3.9%
9	16	10.4%
10	13	8.4%
11	11	7.1%

Value	Count	Frequency (%)
235	1	0.6%
100	1	0.6%
39	1	0.6%
36	2	1.3%
34	2	1.3%
28	1	0.6%
27	2	1.3%
25	1	0.6%
24	2	1.3%
23	1	0.6%

위촉직 여성(명)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	18
Distinct (%)	11.8%
Missing	1
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	5.7385621

Minimum	0
Maximum	47
Zeros	4
Zeros (%)	2.6%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1.6
Q1	3
median	5
Q3	7
95-th percentile	11.4
Maximum	47
Range	47
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.7748949
Coefficient of variation (CV)	0.83207167
Kurtosis	36.721845
Mean	5.7385621
Median Absolute Deviation (MAD)	2
Skewness	4.7767686
Sum	878
Variance	22.799622
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
5	30	19.5%
4	25	16.2%
3	18	11.7%
2	15	9.7%
7	13	8.4%
6	12	7.8%
8	10	6.5%
9	7	4.5%
11	5	3.2%
0	4	2.6%
Other values (8)	14	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	2.6%
1	4	2.6%
2	15	9.7%
3	18	11.7%
4	25	16.2%
5	30	19.5%
6	12	7.8%
7	13	8.4%
8	10	6.5%
9	7	4.5%

Value	Count	Frequency (%)
47	1	0.6%
20	1	0.6%
18	1	0.6%
17	2	1.3%
14	2	1.3%
12	1	0.6%
11	5	3.2%
10	2	1.3%
9	7	4.5%
8	10	6.5%

위촉직 남성(명)
Real number (ℝ)

HIGH CORRELATION

Distinct	24
Distinct (%)	15.7%
Missing	1
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	8.7124183

Minimum	0
Maximum	217
Zeros	1
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	4
median	6
Q3	9
95-th percentile	17.4
Maximum	217
Range	217
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	17.889527
Coefficient of variation (CV)	2.0533365
Kurtosis	122.97679
Mean	8.7124183
Median Absolute Deviation (MAD)	2
Skewness	10.626345
Sum	1333
Variance	320.03517
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
4	23	14.9%
5	18	11.7%
7	16	10.4%
6	15	9.7%
8	15	9.7%
3	15	9.7%
2	8	5.2%
10	7	4.5%
12	7	4.5%
9	6	3.9%
Other values (14)	23	14.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.6%
1	2	1.3%
2	8	5.2%
3	15	9.7%
4	23	14.9%
5	18	11.7%
6	15	9.7%
7	16	10.4%
8	15	9.7%
9	6	3.9%

Value	Count	Frequency (%)
217	1	0.6%
53	1	0.6%
25	1	0.6%
22	1	0.6%
20	1	0.6%
19	2	1.3%
18	1	0.6%
17	2	1.3%
16	2	1.3%
15	2	1.3%

위촉직여성 비율(%)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	52
Distinct (%)	34.0%
Missing	1
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	0.44028573

Minimum	0
Maximum	1
Zeros	4
Zeros (%)	2.6%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.13571429
Q1	0.4
median	0.44444444
Q3	0.5
95-th percentile	0.66666667
Maximum	1
Range	1
Interquartile range (IQR)	0.1

Descriptive statistics

Standard deviation	0.15556402
Coefficient of variation (CV)	0.35332515
Kurtosis	2.3448437
Mean	0.44028573
Median Absolute Deviation (MAD)	0.055555556
Skewness	-0.23567898
Sum	67.363716
Variance	0.024200165
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	27	17.5%
0.4	14	9.1%
0.42857142857142855	12	7.8%
0.4444444444444444	10	6.5%
0.5555555555555556	7	4.5%
0.4166666666666667	6	3.9%
0.38461538461538464	5	3.2%
0.6666666666666666	5	3.2%
0.4666666666666667	5	3.2%
0.45454545454545453	5	3.2%
Other values (42)	57	37.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	4	2.6%
0.0625	1	0.6%
0.07659574468085106	1	0.6%
0.08333333333333333	1	0.6%
0.125	1	0.6%
0.14285714285714285	1	0.6%
0.15384615384615385	1	0.6%
0.16666666666666666	1	0.6%
0.20833333333333334	1	0.6%
0.21428571428571427	2	1.3%

Value	Count	Frequency (%)
1.0	1	0.6%
0.8571428571428571	1	0.6%
0.8461538461538461	1	0.6%
0.8181818181818182	1	0.6%
0.75	1	0.6%
0.7272727272727273	1	0.6%
0.6666666666666666	5	3.2%
0.6470588235294118	1	0.6%
0.6363636363636364	1	0.6%
0.6	3	1.9%

위촉직남성 비율(%)
Real number (ℝ)

HIGH CORRELATION

Distinct	51
Distinct (%)	33.3%
Missing	1
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	0.56021704

Minimum	0
Maximum	1
Zeros	1
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.33333333
Q1	0.5
median	0.55555556
Q3	0.6
95-th percentile	0.86428571
Maximum	1
Range	1
Interquartile range (IQR)	0.1

Descriptive statistics

Standard deviation	0.15536882
Coefficient of variation (CV)	0.27733684
Kurtosis	2.3678681
Mean	0.56021704
Median Absolute Deviation (MAD)	0.055555556
Skewness	0.22839675
Sum	85.713207
Variance	0.024139471
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	27	17.5%
0.6	14	9.1%
0.5714285714285714	12	7.8%
0.5555555555555556	10	6.5%
0.4444444444444444	7	4.5%
0.5833333333333334	6	3.9%
0.6153846153846154	5	3.2%
0.3333333333333333	5	3.2%
0.5333333333333333	5	3.2%
0.5454545454545454	5	3.2%
Other values (41)	57	37.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1	0.6%
0.14285714285714285	1	0.6%
0.15384615384615385	1	0.6%
0.18181818181818182	1	0.6%
0.25	1	0.6%
0.2727272727272727	1	0.6%
0.3333333333333333	5	3.2%
0.35294117647058826	1	0.6%
0.36363636363636365	1	0.6%
0.4	3	1.9%

Value	Count	Frequency (%)
1.0	4	2.6%
0.9375	1	0.6%
0.9234042553191489	1	0.6%
0.9166666666666666	1	0.6%
0.875	1	0.6%
0.8571428571428571	1	0.6%
0.8461538461538461	1	0.6%
0.8333333333333334	1	0.6%
0.7916666666666666	1	0.6%
0.7857142857142857	2	1.3%

담당자
Text

Distinct	146
Distinct (%)	95.4%
Missing	1
Missing (%)	0.6%
Memory size	1.3 KiB

Length

Max length	7
Median length	3
Mean length	3.0196078
Min length	2

Characters and Unicode

Total characters	462
Distinct characters	114
Distinct categories	2 ?
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	139 ?
Unique (%)	90.8%

Sample

1st row	허미경
2nd row	이나라
3rd row	김은영
4th row	정승용
5th row	김지연

Value	Count	Frequency (%)
임재덕	2	1.3%
김미경	2	1.3%
이재만	2	1.3%
이태원	2	1.3%
한호준	2	1.3%
이정갑	2	1.3%
전건호	2	1.3%
황해남	1	0.6%
박주홍	1	0.6%
이현경	1	0.6%
Other values (137)	137	89.0%

Most occurring characters

Value	Count	Frequency (%)
이	31	6.7%
김	29	6.3%
정	23	5.0%
영	20	4.3%
경	13	2.8%
박	13	2.8%
은	12	2.6%
숙	12	2.6%
태	10	2.2%
현	9	1.9%
Other values (104)	290	62.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	461	99.8%
Control	1	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
이	31	6.7%
김	29	6.3%
정	23	5.0%
영	20	4.3%
경	13	2.8%
박	13	2.8%
은	12	2.6%
숙	12	2.6%
태	10	2.2%
현	9	2.0%
Other values (103)	289	62.7%

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	461	99.8%
Common	1	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
이	31	6.7%
김	29	6.3%
정	23	5.0%
영	20	4.3%
경	13	2.8%
박	13	2.8%
은	12	2.6%
숙	12	2.6%
태	10	2.2%
현	9	2.0%
Other values (103)	289	62.7%

Common

Value	Count	Frequency (%)
	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	461	99.8%
ASCII	1	0.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
이	31	6.7%
김	29	6.3%
정	23	5.0%
영	20	4.3%
경	13	2.8%
박	13	2.8%
은	12	2.6%
숙	12	2.6%
태	10	2.2%
현	9	2.0%
Other values (103)	289	62.7%

ASCII

Value	Count	Frequency (%)
	1	100.0%

부서
Text

Distinct	67
Distinct (%)	43.8%
Missing	1
Missing (%)	0.6%
Memory size	1.3 KiB

Length

Max length	17
Median length	5
Mean length	5.5228758
Min length	3

Characters and Unicode

Total characters	845
Distinct characters	125
Distinct categories	2 ?
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	30 ?
Unique (%)	19.6%

Sample

1st row	재난관리과
2nd row	운영지원과
3rd row	건설도로과
4th row	건설도로과
5th row	투자유치과

Value	Count	Frequency (%)
농생명정책과	7	4.5%
자치분권과	7	4.5%
토지정보과	6	3.9%
교육청소년과	6	3.9%
보건의료과	5	3.2%
예산담당관	5	3.2%
소상공인과	5	3.2%
공원녹지과	4	2.6%
재난관리과	4	2.6%
문화예술정책과	4	2.6%
Other values (58)	102	65.8%

Most occurring characters

Value	Count	Frequency (%)
과	122	14.4%
정	48	5.7%
관	41	4.9%
책	37	4.4%
지	26	3.1%
당	19	2.2%
담	19	2.2%
시	18	2.1%
공	17	2.0%
도	15	1.8%
Other values (115)	483	57.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	843	99.8%
Space Separator	2	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
과	122	14.5%
정	48	5.7%
관	41	4.9%
책	37	4.4%
지	26	3.1%
당	19	2.3%
담	19	2.3%
시	18	2.1%
공	17	2.0%
도	15	1.8%
Other values (114)	481	57.1%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	843	99.8%
Common	2	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
과	122	14.5%
정	48	5.7%
관	41	4.9%
책	37	4.4%
지	26	3.1%
당	19	2.3%
담	19	2.3%
시	18	2.1%
공	17	2.0%
도	15	1.8%
Other values (114)	481	57.1%

Common

Value	Count	Frequency (%)
	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	843	99.8%
ASCII	2	0.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
과	122	14.5%
정	48	5.7%
관	41	4.9%
책	37	4.4%
지	26	3.1%
당	19	2.3%
담	19	2.3%
시	18	2.1%
공	17	2.0%
도	15	1.8%
Other values (114)	481	57.1%

ASCII

Value	Count	Frequency (%)
	2	100.0%

행정전화
Text

Distinct	147
Distinct (%)	96.1%
Missing	1
Missing (%)	0.6%
Memory size	1.3 KiB

Length

Max length	13
Median length	6
Mean length	6.0457516
Min length	6

Characters and Unicode

Total characters	925
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	141 ?
Unique (%)	92.2%

Sample

1st row	☏ 5974
2nd row	☏ 0593
3rd row	☏ 5892
4th row	☏ 5931
5th row	☏ 3756

Value	Count	Frequency (%)
☏	154	50.0%
6501	2	0.6%
0740	2	0.6%
3672	2	0.6%
3671	2	0.6%
6222	2	0.6%
5483	2	0.6%
6156	1	0.3%
8541	1	0.3%
7453	1	0.3%
Other values (139)	139	45.1%

Most occurring characters

Value	Count	Frequency (%)
☏	154	16.6%
	154	16.6%
1	99	10.7%
3	85	9.2%
4	74	8.0%
2	74	8.0%
5	70	7.6%
6	61	6.6%
7	53	5.7%
0	43	4.6%
Other values (3)	58	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	616	66.6%
Other Symbol	154	16.6%
Space Separator	154	16.6%
Control	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	99	16.1%
3	85	13.8%
4	74	12.0%
2	74	12.0%
5	70	11.4%
6	61	9.9%
7	53	8.6%
0	43	7.0%
8	37	6.0%
9	20	3.2%

Other Symbol

Value	Count	Frequency (%)
☏	154	100.0%

Space Separator

Value	Count	Frequency (%)
	154	100.0%

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	925	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
☏	154	16.6%
	154	16.6%
1	99	10.7%
3	85	9.2%
4	74	8.0%
2	74	8.0%
5	70	7.6%
6	61	6.6%
7	53	5.7%
0	43	4.6%
Other values (3)	58	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	771	83.4%
Misc Symbols	154	16.6%

Most frequent character per block

Misc Symbols

Value	Count	Frequency (%)
☏	154	100.0%

ASCII

Value	Count	Frequency (%)
	154	20.0%
1	99	12.8%
3	85	11.0%
4	74	9.6%
2	74	9.6%
5	70	9.1%
6	61	7.9%
7	53	6.9%
0	43	5.6%
8	37	4.8%
Other values (2)	21	2.7%

Phik (φk)
Auto

Heatmap
Table

	연번	전체 위원(명)	위촉직 위원(명)	위촉직 여성(명)	위촉직 남성(명)	위촉직여성 비율(%)	위촉직남성 비율(%)	부서
연번	1.000	0.106	0.158	0.363	0.000	0.938	0.930	0.632
전체\n위원(명)	0.106	1.000	0.998	0.865	0.989	0.155	0.074	0.000
위촉직\n위원(명)	0.158	0.998	1.000	0.874	0.990	0.143	0.000	0.000
위촉직\n여성(명)	0.363	0.865	0.874	1.000	0.843	0.224	0.304	0.000
위촉직\n남성(명)	0.000	0.989	0.990	0.843	1.000	0.000	0.000	0.000
위촉직여성\n비율(%)	0.938	0.155	0.143	0.224	0.000	1.000	0.996	0.549
위촉직남성\n비율(%)	0.930	0.074	0.000	0.304	0.000	0.996	1.000	0.407
부서	0.632	0.000	0.000	0.000	0.000	0.549	0.407	1.000

Heatmap
Table

	연번	전체 위원(명)	위촉직 위원(명)	위촉직 여성(명)	위촉직 남성(명)	위촉직여성 비율(%)	위촉직남성 비율(%)
연번	1.000	-0.247	-0.195	0.315	-0.562	0.996	-0.994
전체\n위원(명)	-0.247	1.000	0.898	0.686	0.815	-0.251	0.252
위촉직\n위원(명)	-0.195	0.898	1.000	0.796	0.873	-0.202	0.205
위촉직\n여성(명)	0.315	0.686	0.796	1.000	0.467	0.309	-0.305
위촉직\n남성(명)	-0.562	0.815	0.873	0.467	1.000	-0.569	0.572
위촉직여성\n비율(%)	0.996	-0.251	-0.202	0.309	-0.569	1.000	-0.998
위촉직남성\n비율(%)	-0.994	0.252	0.205	-0.305	0.572	-0.998	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.

First rows
Last rows

	연번	위원회명	전체 위원(명)	위촉직 위원(명)	위촉직 여성(명)	위촉직 남성(명)	위촉직여성 비율(%)	위촉직남성 비율(%)	담당자	부서	행정전화
0	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>
1	1	저수지.댐안전관리위원회	10	7	0	7	0.0	1.0	허미경	재난관리과	☏ 5974
2	2	산업안전보건위원회	10	3	0	3	0.0	1.0	이나라	운영지원과	☏ 0593
3	3	지역건설산업활성화협의회	22	11	0	11	0.0	1.0	김은영	건설도로과	☏ 5892
4	4	지하안전위원회	10	9	0	9	0.0	1.0	정승용	건설도로과	☏ 5931
5	5	외국인투자유치협의회	17	16	1	15	0.0625	0.9375	김지연	투자유치과	☏ 3756
6	6	건설기술심의위원회	237	235	18	217	0.076596	0.923404	김성원	정책기획관	☏ 3072
7	7	가축방역심의회	13	12	1	11	0.083333	0.916667	권진석	농생명정책과	☏ 3812
8	8	의료원설립추진위원회	19	16	2	14	0.125	0.875	박희용	복지정책과	☏ 4661
9	9	학교폭력대책지역위원회	11	7	1	6	0.142857	0.857143	홍아름	교육청소년과	☏ 0855

	연번	위원회명	전체 위원(명)	위촉직 위원(명)	위촉직 여성(명)	위촉직 남성(명)	위촉직여성 비율(%)	위촉직남성 비율(%)	담당자	부서	행정전화
144	144	도로관리심의회	12	3	2	1	0.666667	0.333333	육관수	시설정비과	☏ 8861
145	145	마약류중독자치료보호심사위원회	6	3	2	1	0.666667	0.333333	박민아	보건의료과	☏ 4853
146	146	아동여성안전지역연대	22	21	14	7	0.666667	0.333333	허민영	성인지정책담당관	☏ 3172
147	147	청소년육성위원회	15	12	8	4	0.666667	0.333333	박상규	교육청소년과	☏ 0852
148	148	평생교육협의회	15	11	8	3	0.727273	0.272727	박효은	교육청소년과	☏ 0862
149	149	친환경무상학교급식지원심의위원회	15	12	9	3	0.75	0.25	안영숙	교육청소년과	☏ 0851
150	150	식생활교육위원회	15	11	9	2	0.818182	0.181818	최경미	농생명정책과	☏ 3803
151	151	대전광역시여성가족원운영위원회	14	13	11	2	0.846154	0.153846	정희윤	여성가족원	☏ 7611
152	152	보육정책위원회	15	14	12	2	0.857143	0.142857	유재오	가족돌봄과	☏ 0691
153	153	기록물평가심의회	5	2	2	0	1.0	0.0	김진희	시민봉사과	☏ 4214

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Other Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Control

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Symbol

Space Separator

Control

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

Misc Symbols

ASCII

Interactions

Correlations

Missing values

Sample