Dataset statistics
| Number of variables | 6 |
|---|---|
| Number of observations | 6190 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 290.3 KiB |
| Average record size in memory | 48.0 B |
Variable types
| Categorical | 5 |
|---|---|
| Numeric | 1 |
EconomyName has a high cardinality: 107 distinct values | High cardinality |
EconomyCode has a high cardinality: 105 distinct values | High cardinality |
Pillar & Topic has a high cardinality: 73 distinct values | High cardinality |
Pillar & Topic is highly correlated with Year and 1 other fields | High correlation |
Year is highly correlated with Pillar & Topic | High correlation |
Main is highly correlated with Pillar & Topic | High correlation |
Year is highly correlated with Pillar & Topic | High correlation |
Main is highly correlated with Pillar & Topic | High correlation |
Pillar & Topic is highly correlated with Year and 2 other fields | High correlation |
Score is highly correlated with Pillar & Topic | High correlation |
Reproduction
| Analysis started | 2026-09-09 04:16:15.018042 |
|---|---|
| Analysis finished | 2026-09-09 04:16:16.009558 |
| Duration | 0.99 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 107 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.5 KiB |
| Chad | 83 |
|---|---|
| New Zealand | 83 |
| Pakistan | 83 |
| Botswana | 83 |
| Indonesia | 83 |
| Other values (102) |
Length
| Max length | 24 |
|---|---|
| Median length | 8 |
| Mean length | 9.116801292 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
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 | Bangladesh |
|---|---|
| 2nd row | Bangladesh |
| 3rd row | Bangladesh |
| 4th row | Bangladesh |
| 5th row | Bangladesh |
Common Values
| Value | Count | Frequency (%) |
| Chad | 83 | 1.3% |
| New Zealand | 83 | 1.3% |
| Pakistan | 83 | 1.3% |
| Botswana | 83 | 1.3% |
| Indonesia | 83 | 1.3% |
| Kyrgyz Republic | 83 | 1.3% |
| Madagascar | 83 | 1.3% |
| Seychelles | 83 | 1.3% |
| Lesotho | 83 | 1.3% |
| Georgia | 83 | 1.3% |
| Other values (97) | 5360 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| republic | 249 | 2.9% |
| and | 206 | 2.4% |
| new | 123 | 1.5% |
| china | 123 | 1.5% |
| rep | 120 | 1.4% |
| côte | 83 | 1.0% |
| african | 83 | 1.0% |
| estonia | 83 | 1.0% |
| bangladesh | 83 | 1.0% |
| greece | 83 | 1.0% |
| Other values (120) | 7218 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 105 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.5 KiB |
| RWA | 83 |
|---|---|
| BRB | 83 |
| TCD | 83 |
| TZA | 83 |
| NPL | 83 |
| Other values (100) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
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 | BGD |
|---|---|
| 2nd row | BGD |
| 3rd row | BGD |
| 4th row | BGD |
| 5th row | BGD |
Common Values
| Value | Count | Frequency (%) |
| RWA | 83 | 1.3% |
| BRB | 83 | 1.3% |
| TCD | 83 | 1.3% |
| TZA | 83 | 1.3% |
| NPL | 83 | 1.3% |
| COL | 83 | 1.3% |
| PRY | 83 | 1.3% |
| EST | 83 | 1.3% |
| SLE | 83 | 1.3% |
| MDG | 83 | 1.3% |
| Other values (95) | 5360 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| rwa | 83 | 1.3% |
| lso | 83 | 1.3% |
| slv | 83 | 1.3% |
| cri | 83 | 1.3% |
| vut | 83 | 1.3% |
| bgd | 83 | 1.3% |
| geo | 83 | 1.3% |
| bgr | 83 | 1.3% |
| mne | 83 | 1.3% |
| mkd | 83 | 1.3% |
| Other values (95) | 5360 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.5 KiB |
| 2025 | |
|---|---|
| 2024 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
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 | 2024 |
|---|---|
| 2nd row | 2024 |
| 3rd row | 2024 |
| 4th row | 2024 |
| 5th row | 2024 |
Common Values
| Value | Count | Frequency (%) |
| 2025 | 4040 | |
| 2024 | 2150 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2025 | 4040 | |
| 2024 | 2150 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.5 KiB |
| Business Insolvency | |
|---|---|
| Utility Services | |
| Dispute Resolution | |
| Market Competition | |
| Business Location | |
| Other values (6) |
Length
| Max length | 19 |
|---|---|
| Median length | 17 |
| Mean length | 15.00129241 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
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 | Overall |
|---|---|
| 2nd row | Overall |
| 3rd row | Overall |
| 4th row | Business Entry |
| 5th row | Business Entry |
Common Values
| Value | Count | Frequency (%) |
| Business Insolvency | 604 | |
| Utility Services | 604 | |
| Dispute Resolution | 604 | |
| Market Competition | 604 | |
| Business Location | 604 | |
| International Trade | 604 | |
| Taxation | 604 | |
| Business Entry | 604 | |
| Financial Services | 604 | |
| Labor | 604 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| business | 1812 | |
| services | 1208 | 11.0% |
| labor | 604 | 5.5% |
| financial | 604 | 5.5% |
| entry | 604 | 5.5% |
| taxation | 604 | 5.5% |
| trade | 604 | 5.5% |
| international | 604 | 5.5% |
| location | 604 | 5.5% |
| competition | 604 | 5.5% |
| Other values (6) | 3170 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 73 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.5 KiB |
| Business Location Overall | 151 |
|---|---|
| Financial Services Overall | 151 |
| Business Insolvency Overall | 151 |
| Labor Overall | 151 |
| Market Competition Overall | 151 |
| Other values (68) |
Length
| Max length | 102 |
|---|---|
| Median length | 55 |
| Mean length | 52.61082391 |
| Min length | 13 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
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 | Pillar 1 Regulatory Framework |
|---|---|
| 2nd row | Pillar 2 Public Services |
| 3rd row | Pillar 3 Operational Efficiency |
| 4th row | Business Entry Overall |
| 5th row | Pillar I: Quality of Regulations for Business Entry |
Common Values
| Value | Count | Frequency (%) |
| Business Location Overall | 151 | 2.4% |
| Financial Services Overall | 151 | 2.4% |
| Business Insolvency Overall | 151 | 2.4% |
| Labor Overall | 151 | 2.4% |
| Market Competition Overall | 151 | 2.4% |
| Utility Services Overall | 151 | 2.4% |
| International Trade Overall | 151 | 2.4% |
| Dispute Resolution Overall | 151 | 2.4% |
| Business Entry Overall | 151 | 2.4% |
| Taxation Overall | 151 | 2.4% |
| Other values (63) | 4680 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| pillar | 4680 | 10.4% |
| of | 4530 | 10.0% |
| services | 2315 | 5.1% |
| quality | 2114 | 4.7% |
| for | 1812 | 4.0% |
| regulations | 1661 | 3.7% |
| overall | 1510 | 3.3% |
| business | 1359 | 3.0% |
| efficiency | 1258 | 2.8% |
| operational | 1258 | 2.8% |
| Other values (65) | 22697 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3855 |
|---|---|
| Distinct (%) | 62.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 59.97675767 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 44 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 48.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 23.1375 |
| Q1 | 48.1625 |
| median | 62.17 |
| Q3 | 73.99 |
| 95-th percentile | 88.5675 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 25.8275 |
Descriptive statistics
| Standard deviation | 19.60043983 |
|---|---|
| Coefficient of variation (CV) | 0.3268005907 |
| Kurtosis | 0.1747702549 |
| Mean | 59.97675767 |
| Median Absolute Deviation (MAD) | 12.83 |
| Skewness | -0.5840347163 |
| Sum | 371256.13 |
| Variance | 384.1772417 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 44 | 0.7% |
| 13.33 | 11 | 0.2% |
| 75 | 10 | 0.2% |
| 68.33 | 9 | 0.1% |
| 82.78 | 9 | 0.1% |
| 73.33 | 9 | 0.1% |
| 70.42 | 8 | 0.1% |
| 83.33 | 8 | 0.1% |
| 100 | 8 | 0.1% |
| 66.83 | 7 | 0.1% |
| Other values (3845) | 6067 |
| Value | Count | Frequency (%) |
| 0 | 44 | |
| 1.23 | 1 | < 0.1% |
| 2.28 | 1 | < 0.1% |
| 2.78 | 1 | < 0.1% |
| 2.85 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
| 3.13 | 1 | < 0.1% |
| 3.2 | 1 | < 0.1% |
| 3.21 | 1 | < 0.1% |
| 3.33 | 5 | 0.1% |
| Value | Count | Frequency (%) |
| 100 | 8 | |
| 99.84 | 1 | < 0.1% |
| 99.44 | 1 | < 0.1% |
| 99.25 | 3 | < 0.1% |
| 99.2 | 1 | < 0.1% |
| 99 | 4 | |
| 98.96 | 1 | < 0.1% |
| 98.67 | 1 | < 0.1% |
| 98.57 | 1 | < 0.1% |
| 98.5 | 2 | < 0.1% |
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.
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.
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.
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.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. 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
| EconomyName | EconomyCode | Year | Main | Pillar & Topic | Score | |
|---|---|---|---|---|---|---|
| 0 | Bangladesh | BGD | 2024 | Overall | Pillar 1 Regulatory Framework | 56.99 |
| 1 | Bangladesh | BGD | 2024 | Overall | Pillar 2 Public Services | 41.64 |
| 2 | Bangladesh | BGD | 2024 | Overall | Pillar 3 Operational Efficiency | 70.49 |
| 3 | Bangladesh | BGD | 2024 | Business Entry | Business Entry Overall | 74.08 |
| 4 | Bangladesh | BGD | 2024 | Business Entry | Pillar I: Quality of Regulations for Business Entry | 80.00 |
| 5 | Bangladesh | BGD | 2024 | Business Entry | Pillar II: Digital Public Services and Transparency of Information for Business Entry | 56.50 |
| 6 | Bangladesh | BGD | 2024 | Business Entry | Pillar III: Operational Efficiency of Business Entry | 85.75 |
| 7 | Bangladesh | BGD | 2024 | Business Location | Business Location Overall | 66.91 |
| 8 | Bangladesh | BGD | 2024 | Business Location | Pillar I: Quality of Regulations for Business Location | 61.55 |
| 9 | Bangladesh | BGD | 2024 | Business Location | Pillar II: Quality of Public Services and Transparency of Information for Business Location | 63.45 |
Last rows
| EconomyName | EconomyCode | Year | Main | Pillar & Topic | Score | |
|---|---|---|---|---|---|---|
| 6180 | West Bank and Gaza | PSE | 2025 | Dispute Resolution | Pillar 2: Public Services For Dispute Resolution | 20.60 |
| 6181 | West Bank and Gaza | PSE | 2025 | Dispute Resolution | Pillar 3: Ease Of Resolving A Commercial Dispute | 26.36 |
| 6182 | West Bank and Gaza | PSE | 2025 | Market Competition | Market Competition Overall | 28.36 |
| 6183 | West Bank and Gaza | PSE | 2025 | Market Competition | Pillar 1: Quality Of Regulations That Promote Market Competition | 27.22 |
| 6184 | West Bank and Gaza | PSE | 2025 | Market Competition | Pillar 2: Public Services That Promote Market Competition | 17.41 |
| 6185 | West Bank and Gaza | PSE | 2025 | Market Competition | Pillar 3: Implementation Of Key Services Promoting Market Competition | 40.44 |
| 6186 | West Bank and Gaza | PSE | 2025 | Business Insolvency | Business Insolvency Overall | 11.70 |
| 6187 | West Bank and Gaza | PSE | 2025 | Business Insolvency | Pillar 1: Quality Of Regulations For Judicial Insolvency Proceedings | 26.76 |
| 6188 | West Bank and Gaza | PSE | 2025 | Business Insolvency | Pillar 2: Quality Of Institutional And Operational Infrastructure For Judicial Insolvency Proceedings | 8.33 |
| 6189 | West Bank and Gaza | PSE | 2025 | Business Insolvency | Pillar 3: Operational Efficiency Of Resolving Judicial Insolvency Proceedings | 0.00 |