Dataset statistics
| Number of variables | 8 |
|---|---|
| Number of observations | 980 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 61.4 KiB |
| Average record size in memory | 64.1 B |
Variable types
| Numeric | 6 |
|---|---|
| Categorical | 2 |
samplingrate has constant value "22050" | Constant |
speacker is highly correlated with samplingrate | High correlation |
samplingrate is highly correlated with speacker | High correlation |
speacker is uniformly distributed | Uniform |
silencePercent has 47 (4.8%) zeros | Zeros |
Reproduction
| Analysis started | 2021-05-11 14:21:58.463371 |
|---|---|
| Analysis finished | 2021-05-11 14:22:03.063370 |
| Duration | 4.6 seconds |
| Software version | pandas-profiling v2.11.0 |
| Download configuration | config.yaml |
id
Real number (ℝ≥0)
| Distinct | 105 |
|---|---|
| Distinct (%) | 10.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32.29183673 |
|---|---|
| Minimum | 1 |
| Maximum | 105 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 12 |
| median | 26 |
| Q3 | 47 |
| 95-th percentile | 83 |
| Maximum | 105 |
| Range | 104 |
| Interquartile range (IQR) | 35 |
Descriptive statistics
| Standard deviation | 25.43574361 |
|---|---|
| Coefficient of variation (CV) | 0.7876833955 |
| Kurtosis | -0.07529870321 |
| Mean | 32.29183673 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | 0.8835091218 |
| Sum | 31646 |
| Variance | 646.9770528 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 22 | 2.2% |
| 2 | 22 | 2.2% |
| 3 | 22 | 2.2% |
| 4 | 22 | 2.2% |
| 5 | 22 | 2.2% |
| 6 | 22 | 2.2% |
| 7 | 22 | 2.2% |
| 8 | 22 | 2.2% |
| 9 | 22 | 2.2% |
| 10 | 22 | 2.2% |
| Other values (95) | 760 |
| Value | Count | Frequency (%) |
| 1 | 22 | |
| 2 | 22 | |
| 3 | 22 | |
| 4 | 22 | |
| 5 | 22 |
| Value | Count | Frequency (%) |
| 105 | 2 | |
| 104 | 2 | |
| 103 | 2 | |
| 102 | 2 | |
| 101 | 2 |
duration
Real number (ℝ≥0)
| Distinct | 172 |
|---|---|
| Distinct (%) | 17.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.651428571 |
|---|---|
| Minimum | 0.9 |
| Maximum | 30 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 0.9 |
|---|---|
| 5-th percentile | 2.9 |
| Q1 | 4.9 |
| median | 6.9 |
| Q3 | 9.4 |
| 95-th percentile | 15.2 |
| Maximum | 30 |
| Range | 29.1 |
| Interquartile range (IQR) | 4.5 |
Descriptive statistics
| Standard deviation | 4.016862821 |
|---|---|
| Coefficient of variation (CV) | 0.5249820715 |
| Kurtosis | 4.597320147 |
| Mean | 7.651428571 |
| Median Absolute Deviation (MAD) | 2.2 |
| Skewness | 1.633594192 |
| Sum | 7498.4 |
| Variance | 16.13518693 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5.4 | 19 | 1.9% |
| 5.7 | 17 | 1.7% |
| 6.7 | 17 | 1.7% |
| 3.8 | 16 | 1.6% |
| 6.5 | 15 | 1.5% |
| 8.8 | 15 | 1.5% |
| 5 | 15 | 1.5% |
| 4.9 | 15 | 1.5% |
| 6.4 | 14 | 1.4% |
| 7.2 | 14 | 1.4% |
| Other values (162) | 823 |
| Value | Count | Frequency (%) |
| 0.9 | 1 | 0.1% |
| 1 | 1 | 0.1% |
| 1.2 | 1 | 0.1% |
| 1.3 | 3 | |
| 1.4 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 30 | 1 | |
| 29.9 | 1 | |
| 29.8 | 1 | |
| 26.5 | 1 | |
| 26.2 | 1 |
loudness
Real number (ℝ)
| Distinct | 59 |
|---|---|
| Distinct (%) | 6.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -21.28469388 |
|---|---|
| Minimum | -28.2 |
| Maximum | -17.8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | -28.2 |
|---|---|
| 5-th percentile | -22.7 |
| Q1 | -21.8 |
| median | -21.2 |
| Q3 | -20.7 |
| 95-th percentile | -19.9 |
| Maximum | -17.8 |
| Range | 10.4 |
| Interquartile range (IQR) | 1.1 |
Descriptive statistics
| Standard deviation | 0.9062096573 |
|---|---|
| Coefficient of variation (CV) | -0.04257564908 |
| Kurtosis | 5.111762064 |
| Mean | -21.28469388 |
| Median Absolute Deviation (MAD) | 0.5 |
| Skewness | -0.8106417881 |
| Sum | -20859 |
| Variance | 0.821215943 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -21 | 53 | 5.4% |
| -21.3 | 50 | 5.1% |
| -21.8 | 49 | 5.0% |
| -20.9 | 47 | 4.8% |
| -21.6 | 45 | 4.6% |
| -20.6 | 45 | 4.6% |
| -21.1 | 45 | 4.6% |
| -21.2 | 44 | 4.5% |
| -21.7 | 43 | 4.4% |
| -20.5 | 42 | 4.3% |
| Other values (49) | 517 |
| Value | Count | Frequency (%) |
| -28.2 | 1 | |
| -26.3 | 1 | |
| -26 | 1 | |
| -24.4 | 1 | |
| -24.1 | 2 |
| Value | Count | Frequency (%) |
| -17.8 | 1 | |
| -18.5 | 1 | |
| -18.6 | 1 | |
| -18.7 | 1 | |
| -18.8 | 1 |
minSilenceDB
Real number (ℝ)
| Distinct | 54 |
|---|---|
| Distinct (%) | 5.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -52.39285714 |
|---|---|
| Minimum | -69 |
| Maximum | -10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | -69 |
|---|---|
| 5-th percentile | -64 |
| Q1 | -60 |
| median | -57 |
| Q3 | -44 |
| 95-th percentile | -24 |
| Maximum | -10 |
| Range | 59 |
| Interquartile range (IQR) | 16 |
Descriptive statistics
| Standard deviation | 11.96691686 |
|---|---|
| Coefficient of variation (CV) | -0.2284074111 |
| Kurtosis | 1.112553649 |
| Mean | -52.39285714 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 1.372621475 |
| Sum | -51345 |
| Variance | 143.2070991 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -59 | 83 | 8.5% |
| -58 | 82 | 8.4% |
| -57 | 74 | 7.6% |
| -56 | 66 | 6.7% |
| -60 | 60 | 6.1% |
| -61 | 59 | 6.0% |
| -55 | 56 | 5.7% |
| -62 | 56 | 5.7% |
| -63 | 41 | 4.2% |
| -54 | 36 | 3.7% |
| Other values (44) | 367 |
| Value | Count | Frequency (%) |
| -69 | 1 | 0.1% |
| -68 | 1 | 0.1% |
| -67 | 8 | 0.8% |
| -66 | 10 | |
| -65 | 21 |
| Value | Count | Frequency (%) |
| -10 | 2 | 0.2% |
| -13 | 2 | 0.2% |
| -14 | 2 | 0.2% |
| -17 | 5 | |
| -18 | 3 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.8 KiB |
| 22050 |
|---|
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 4900 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 22050 |
|---|---|
| 2nd row | 22050 |
| 3rd row | 22050 |
| 4th row | 22050 |
| 5th row | 22050 |
| Value | Count | Frequency (%) |
| 22050 | 980 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 22050 | 980 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 1960 | |
| 0 | 1960 | |
| 5 | 980 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4900 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 2 | 1960 | |
| 0 | 1960 | |
| 5 | 980 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4900 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 2 | 1960 | |
| 0 | 1960 | |
| 5 | 980 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4900 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 2 | 1960 | |
| 0 | 1960 | |
| 5 | 980 |
| Distinct | 63 |
|---|---|
| Distinct (%) | 6.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 19.07857143 |
|---|---|
| Minimum | 0 |
| Maximum | 63 |
| Zeros | 47 |
| Zeros (%) | 4.8% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 7 |
| median | 17 |
| Q3 | 26 |
| 95-th percentile | 49 |
| Maximum | 63 |
| Range | 63 |
| Interquartile range (IQR) | 19 |
Descriptive statistics
| Standard deviation | 14.38053353 |
|---|---|
| Coefficient of variation (CV) | 0.7537531615 |
| Kurtosis | 0.1894858692 |
| Mean | 19.07857143 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | 0.7961537505 |
| Sum | 18697 |
| Variance | 206.7997446 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 47 | 4.8% |
| 2 | 45 | 4.6% |
| 3 | 43 | 4.4% |
| 16 | 43 | 4.4% |
| 14 | 40 | 4.1% |
| 1 | 36 | 3.7% |
| 19 | 36 | 3.7% |
| 4 | 35 | 3.6% |
| 15 | 33 | 3.4% |
| 18 | 31 | 3.2% |
| Other values (53) | 591 |
| Value | Count | Frequency (%) |
| 0 | 47 | |
| 1 | 36 | |
| 2 | 45 | |
| 3 | 43 | |
| 4 | 35 |
| Value | Count | Frequency (%) |
| 63 | 1 | 0.1% |
| 62 | 3 | |
| 61 | 1 | 0.1% |
| 59 | 1 | 0.1% |
| 58 | 5 |
averageFrequency
Real number (ℝ≥0)
| Distinct | 604 |
|---|---|
| Distinct (%) | 61.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2270.718367 |
|---|---|
| Minimum | 1073 |
| Maximum | 3167 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.8 KiB |
Quantile statistics
| Minimum | 1073 |
|---|---|
| 5-th percentile | 1837.9 |
| Q1 | 2112 |
| median | 2265 |
| Q3 | 2428.25 |
| 95-th percentile | 2690.05 |
| Maximum | 3167 |
| Range | 2094 |
| Interquartile range (IQR) | 316.25 |
Descriptive statistics
| Standard deviation | 253.5593772 |
|---|---|
| Coefficient of variation (CV) | 0.1116648286 |
| Kurtosis | 0.7945148303 |
| Mean | 2270.718367 |
| Median Absolute Deviation (MAD) | 158 |
| Skewness | -0.03430560005 |
| Sum | 2225304 |
| Variance | 64292.35778 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2128 | 8 | 0.8% |
| 2221 | 7 | 0.7% |
| 2214 | 5 | 0.5% |
| 2223 | 5 | 0.5% |
| 2090 | 5 | 0.5% |
| 2100 | 5 | 0.5% |
| 2138 | 5 | 0.5% |
| 2047 | 5 | 0.5% |
| 2369 | 5 | 0.5% |
| 2134 | 5 | 0.5% |
| Other values (594) | 925 |
| Value | Count | Frequency (%) |
| 1073 | 1 | |
| 1378 | 1 | |
| 1576 | 1 | |
| 1579 | 1 | |
| 1597 | 1 |
| Value | Count | Frequency (%) |
| 3167 | 1 | |
| 3113 | 1 | |
| 3097 | 1 | |
| 2998 | 1 | |
| 2973 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.8 KiB |
| clean | |
|---|---|
| full |
Length
| Max length | 5 |
|---|---|
| Median length | 4.5 |
| Mean length | 4.5 |
| Min length | 4 |
Characters and Unicode
| Total characters | 4410 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | clean |
|---|---|
| 2nd row | clean |
| 3rd row | clean |
| 4th row | clean |
| 5th row | clean |
| Value | Count | Frequency (%) |
| clean | 490 | |
| full | 490 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| clean | 490 | |
| full | 490 |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 1470 | |
| c | 490 | 11.1% |
| e | 490 | 11.1% |
| a | 490 | 11.1% |
| n | 490 | 11.1% |
| f | 490 | 11.1% |
| u | 490 | 11.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4410 |
Most frequent character per category
| Value | Count | Frequency (%) |
| l | 1470 | |
| c | 490 | 11.1% |
| e | 490 | 11.1% |
| a | 490 | 11.1% |
| n | 490 | 11.1% |
| f | 490 | 11.1% |
| u | 490 | 11.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4410 |
Most frequent character per script
| Value | Count | Frequency (%) |
| l | 1470 | |
| c | 490 | 11.1% |
| e | 490 | 11.1% |
| a | 490 | 11.1% |
| n | 490 | 11.1% |
| f | 490 | 11.1% |
| u | 490 | 11.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4410 |
Most frequent character per block
| Value | Count | Frequency (%) |
| l | 1470 | |
| c | 490 | 11.1% |
| e | 490 | 11.1% |
| a | 490 | 11.1% |
| n | 490 | 11.1% |
| f | 490 | 11.1% |
| u | 490 | 11.1% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. 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.
First rows
| id | duration | loudness | minSilenceDB | samplingrate | silencePercent | averageFrequency | speacker | |
|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 2.1 | -20.8 | -61 | 22050 | 42 | 3167 | clean |
| 1 | 2 | 6.2 | -20.9 | -61 | 22050 | 46 | 2351 | clean |
| 2 | 3 | 4.1 | -21.4 | -59 | 22050 | 23 | 2010 | clean |
| 3 | 4 | 5.0 | -18.9 | -65 | 22050 | 25 | 2134 | clean |
| 4 | 5 | 3.1 | -22.8 | -61 | 22050 | 44 | 2221 | clean |
| 5 | 6 | 5.1 | -20.8 | -62 | 22050 | 41 | 2261 | clean |
| 6 | 7 | 6.5 | -23.2 | -53 | 22050 | 21 | 2132 | clean |
| 7 | 8 | 6.1 | -22.5 | -58 | 22050 | 17 | 2690 | clean |
| 8 | 9 | 2.4 | -21.7 | -59 | 22050 | 40 | 2260 | clean |
| 9 | 10 | 12.6 | -21.1 | -58 | 22050 | 15 | 2110 | clean |
Last rows
| id | duration | loudness | minSilenceDB | samplingrate | silencePercent | averageFrequency | speacker | |
|---|---|---|---|---|---|---|---|---|
| 970 | 6 | 8.9 | -21.6 | -62 | 22050 | 22 | 2044 | full |
| 971 | 7 | 2.7 | -20.4 | -37 | 22050 | 7 | 2213 | full |
| 972 | 8 | 11.8 | -21.0 | -58 | 22050 | 57 | 2294 | full |
| 973 | 9 | 14.2 | -20.3 | -58 | 22050 | 16 | 2007 | full |
| 974 | 10 | 8.9 | -20.7 | -64 | 22050 | 19 | 2182 | full |
| 975 | 11 | 9.0 | -22.0 | -62 | 22050 | 11 | 2241 | full |
| 976 | 12 | 8.0 | -24.1 | -59 | 22050 | 25 | 2428 | full |
| 977 | 13 | 9.3 | -21.2 | -56 | 22050 | 33 | 2308 | full |
| 978 | 14 | 4.9 | -21.6 | -44 | 22050 | 6 | 2173 | full |
| 979 | 15 | 7.7 | -20.6 | -58 | 22050 | 13 | 2219 | full |