pingouin-stats.org valuation and analysis
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| Title | Installation — pingouin 0.5.1 |
| Description | Installation¶ pingouin 0.5.1 Functions Guidelines FAQ What’s new Contribute Site Pingouin is an open-source statistical package written in Python 3 and based mostly on |
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Server Information
| WebSite | |
| Host IP | 99.84.160.36 |
| Location | United States |
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pingouin-stats.org Valuation
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US$9,440,283
Last updated: 2022-06-23 14:19:13
pingouin-stats.org has Semrush global rank of 1,121,185. pingouin-stats.org has an estimated worth of US$ 9,440,283, based on its estimated Ads revenue. pingouin-stats.org receives approximately 1,089,264 unique visitors each day. Its web server is located in United States, with IP address 99.84.160.36. According to SiteAdvisor, pingouin-stats.org is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$9,440,283 |
| Daily Ads Revenue | US$8,715 |
| Monthly Ads Revenue | US$261,424 |
| Yearly Ads Revenue | US$3,137,079 |
| Daily Unique Visitors | 72,618 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| pingouin-stats.org. | A | 299 | IP: 99.84.160.36 |
| pingouin-stats.org. | A | 299 | IP: 99.84.160.52 |
| pingouin-stats.org. | A | 299 | IP: 99.84.160.17 |
| pingouin-stats.org. | A | 299 | IP: 99.84.160.23 |
| pingouin-stats.org. | NS | 86400 | NS Record: ns-1571.awsdns-04.co.uk. |
| pingouin-stats.org. | NS | 86400 | NS Record: ns-34.awsdns-04.com. |
| pingouin-stats.org. | NS | 86400 | NS Record: ns-676.awsdns-20.net. |
| pingouin-stats.org. | NS | 86400 | NS Record: ns-1416.awsdns-49.org. |
HtmlToTextCheckTime:2022-06-23 14:19:13
| pingouin 0.5.1 Functions Guidelines FAQ What’s new Contribute Site Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. For a full list of available functions, please refer to the API documentation . ANOVAs: N-ways, repeated measures, mixed, ancova Pairwise post-hocs tests (parametric and non-parametric) and pairwise correlations Robust, partial, distance and repeated measures correlations Linear/logistic regression and mediation analysis Bayes Factors Multivariate tests Reliability and consistency Effect sizes and power analysis Parametric/bootstrapped confidence intervals around an effect size or a correlation coefficient Circular statistics Chi-squared tests Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation… Pingouin is designed for users who want simple yet exhaustive stats functions . For example, the ttest_ind function of SciPy returns only the T-value and the |
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