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This article describes a free, open-source collection of templates for the popular Excel (2013, and later versions) spreadsheet program. These templates are spreadsheet files that allow easy and intuitive learning and the implementation of practical examples concerning descriptive statistics, random variables, confidence intervals, and hypothesis testing. Although they are designed to be used with Excel, they can also be employed with other free spreadsheet programs (changing some particular formulas). Moreover, we exploit some possibilities of the ActiveX controls of the Excel Developer Menu to perform interactive Gaussian density charts. Finally, it is important to note that they can be often embedded in a web page, so it is not necessary to employ Excel software for their use. These templates have been designed as a useful tool to teach basic statistics and to carry out data analysis even when the students are not familiar with Excel. Additionally, they can be used as a complement to other analytical software packages. They aim to assist students in learning statistics, within an intuitive working environment. Supplementary materials with the Excel templates are available online.
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One-sided, two-sample t-tests were applied to each individual feature. Features x1, x2, x3 and x4 denote the four-dimensional scale-space parameters. For each feature, the up arrow indicates (AD>NC) and the down arrow indicates (ADP
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The Vertical Templates market has emerged as a crucial segment within various industries, serving as a foundational tool that enhances design efficiency, precision, and adaptability. These templates provide structured frameworks for creating visual concepts, whether in graphic design, architecture, or digital market
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
player stats for the regular seasons from 1996-2023
Dataset Description
player stats for the regular seasons from 1996-2023, obtained by querying the stats.nba.com endpoint. The data is available as a delta file.
Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared… See the full description on the dataset page: https://huggingface.co/datasets/nsfwpenguins/nba_reg_player_stats.
The Canadian Research Data Centre Network (CRDCN) template summarizes the data management that is conducted by Statistics Canada and the CRDCN on behalf of researchers. While there are some advantages to working inside the RDC for data management, there is also a substantial drawback: RDC data can never be deposited in a repository in accordance with the recommended best practices for research data management. Because of this, researchers should be mindful of other options to engage in best practices. In addition to ensuring that the RDC project folder is well documented, and consistent with the research output, researchers should curate a supporting data deposit at a recognized repository in their discipline or within the Federated Research Data Repository (FRDR) containing metadata, syntax (code that produces a statistical output), and any other supporting material for the research project. This template is for researchers who are doing RDC work using Statistics Canada data and research data that they have either brought into the RDC “supplemental data” or are analyzing in parallel to their work in the RDC (such as mixed-methods) or public use statistics that compliment the RDC work (hereafter: external data). Researchers should be aware that any data brought into the RDC will be stored alongside the rest of their project material subject to the information management protocols from Statistics Canada. This is a free, relatively straightforward, process and researchers can obtain more information by talking to their RDC analyst. If your work is being conducted in the RDC using only data provided through the RDC program then the RDC-only template should be completed and not this template. For more information, visit www.crdcn.org.
The liabilities of Molecular Templates, Inc. with headquarters in the United States amounted to ***** million U.S. dollars in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2019 this is a total decrease by approximately ** million U.S. dollars. The trend from 2019 to 2023 shows, however, that this decrease did not happen continuously.
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The GaN (Gallium Nitride) Templates market is experiencing significant momentum, driven by advancements in technology and a growing demand across various industries including automotive, telecommunications, consumer electronics, and renewable energy. GaN materials are pivotal in the production of high-performance el
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The Magnesium Building Template market has gained significant traction in the construction industry, recognized for its innovative solutions and sustainability benefits. Magnesium building templates, primarily utilized for framing and constructing lightweight, durable structures, provide an environmentally friendly
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Template for creating life expectancy and health expectancies estimates.
The total equity of Molecular Templates, Inc. with headquarters in the United States amounted to **** million U.S. dollars in 2023. The reported fiscal year ends on ***********.Compared to the earliest depicted value from 2019 this is a total decrease by approximately ***** million U.S. dollars. The trend from 2019 to 2023 shows, however, that this decrease did not happen continuously.
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Figures in scientific publications are critically important because they often show the data supporting key findings. Our systematic review of research articles published in top physiology journals (n = 703) suggests that, as scientists, we urgently need to change our practices for presenting continuous data in small sample size studies. Papers rarely included scatterplots, box plots, and histograms that allow readers to critically evaluate continuous data. Most papers presented continuous data in bar and line graphs. This is problematic, as many different data distributions can lead to the same bar or line graph. The full data may suggest different conclusions from the summary statistics. We recommend training investigators in data presentation, encouraging a more complete presentation of data, and changing journal editorial policies. Investigators can quickly make univariate scatterplots for small sample size studies using our Excel templates.
The ckanext-datavic-stats extension, a fork of CKAN's built-in statistics plugin, provides enhanced statistical analysis capabilities specifically tailored for data portals like data.gov.au. It modifies the core statistics functionality to provide more relevant and accurate insights. The extension focuses on presenting a refined view of data usage and engagement, optimizing the presentation of key metrics for informed decision-making. Key Features: Exclusion of Private Datasets: Removes private datasets from almost all statistical calculations (except for the top users section), ensuring that public statistics accurately reflect openly accessible data. This prevents skewing of results due to internal or non-public data. Summary Page Enhancement: Introduces or enhances a summary stats page, allowing administrators and users to quickly grasp key metrics related to dataset usage and engagement. This includes important data regarding the number of available public datasets. Activity Summary Page: Adds a dedicated activity summary page that aggregates public data activity metrics, providing a consolidated view of user interactions, dataset updates, and other relevant portal events. This enhances transparency and allows for better tracking of data portal usage. Organization-Level Public/Private Dataset Counts: Provides a dedicated page for organizations outlining the count of both public and private datasets they manage. This enhances organizational transparency and allows for easy auditing of data visibility settings. Use Cases: Data Portals: Enhances the statistical reporting capabilities of open data portals by focusing statistics on public datasets, providing portal administrators and users with more actionable insights into the use of openly accessible data and ensuring key statistics reflect the portals publicly available data offerings. Data Governance: Helps organisations monitor and maintain their data portfolios, with clear indicators of how much data is public. Technical Integration: This extension modifies the existing CKAN statistics plugin, seamlessly integrating with CKAN's user interface and backend. It likely overrides or extends the default statistical calculations and templates to implement its specific features without requiring substantial alterations to the core CKAN system. Benefits & Impact: By focusing statistics on public datasets, ckanext-datavic-stats provides portal administrators a clearer picture of which data is used and how. Added summary pages and organization data counts provide better ways for end users to understand their catalog's data, helping increase its value and utility. The exclusion of private datasets makes metrics more relevant for external users interested in open data usage trends and more targeted insights that can inform promotion and improvement strategies.
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Summary statistics for template-based structure prediction of the proteins encoded by the variola (smallpox) genome using the pipeline.
The net cash of Molecular Templates, Inc. with headquarters in the United States amounted to ****** million U.S. dollars in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2019 this is a total decrease by approximately ***** million U.S. dollars. The trend from 2019 to 2023 shows, however, that this decrease did not happen continuously.
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The Aluminum Nitride Templates market is witnessing significant growth as demand for advanced materials in electronics and optoelectronics continues to surge. Aluminum nitride (AlN) is renowned for its excellent thermal conductivity and electrical insulation properties, making it an ideal substrate for various appli
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FSL3.3
Unthresholded Z-statistic maps for all analyses in Kaanders et al. (2020).
homo sapiens
fMRI-BOLD
group
multi-attribute decision making task
Other
The operating profit of Molecular Templates, Inc. with headquarters in the United States amounted to ****** million U.S. dollars in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2019 this is a total increase by approximately ***** million U.S. dollars. The trend from 2019 to 2023 shows, however, that this increase did not happen continuously.
The trak extension for CKAN enhances the platform's tracking capabilities by providing tools to import Google Analytics data and modify the presentation of page view statistics. It introduces a paster command for importing page view data from exported Google Analytics CSV files, enabling users to supplement CKAN's built-in tracking. The extension also includes template customizations to alter how page view counts are displayed on dataset and resource listing pages. Key Features: Google Analytics Data Import: Imports page view data directly from a stripped-down CSV of Google Analytics data using a dedicated paster command (csv2table). The CSV should contain a list of page views, where each row starts with '/'. The PageViews column is expected to be the 3rd column. Customizable Page View Display: Changes the default presentation of page view statistics within CKAN, removing the minimum view count restriction (default is 10) so all views can be seen and modifies UI elements. Altered Page Tracking Stats: Alters the placement of page tracking statistics, moving them below Package Data (on dataset list pages) and Resource Data (on resource list pages) for better integration of tracking data. UI/UX Enhancements: Replaces the flame icon typically used for page tracking and substitutes it with more subtle background styling to modernize the presentation of tracking data. Backend Data Manipulation Uses a 'floor date' of 2011-01-01 for page view calculation. Entries are made in the trackingraw table for each view, with a unique UUID. Integration with CKAN: The extension integrates into CKAN's core functionalities by introducing a new paster command and modifying existing templates for displaying page view statistics. It relies on CKAN's built-in tracking to be enabled, but supplements its capabilities with imported data and presentation adjustments. After importing data using the csv2table paster command, the standard tracking update and search-index rebuild paster tasks need to be run to process the imported data and update the search index.. Benefits & Impact: By importing data from Google Analytics, the trak extension allows administrators to see a holistic view of page views. It changes the user experience to facilitate tracking statistics in a more integrated fashion. This allows for a better understanding of the impact and utilization of resources within the CKAN instance, based on Google Analytics data.
This guidance note provides recommendations for developing gender factbooks as a channel to effectively communicate gender statistics, which serves as a critical input to designing and monitoring policies to improve development opportunities for all. A gender factbook is a comprehensive publication that disseminates gender statistics through visuals and tables accompanied by relevant analysis and legal or policy frameworks that give context to the data presented. This guidance note is intended to support national statistics offices in their efforts to improve existing gender factbooks or to assist a country in developing its first gender factbook. Section 2 outlines the motivation for reporting on gender data and creating a gender factbook. Section 3 provides guidance on producing and disseminating a gender factbook, leveraging best-practice examples from a comprehensive review of existing gender factbooks and publications that focus on improving the communication and dissemination of gender statistics. Section 4 concludes, and the appendixes provide valuable sources, samples, and templates.
The revenue of Molecular Templates, Inc. with headquarters in the United States amounted to **** million U.S. dollars in 2019. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2011 this is a total increase by approximately **** million U.S. dollars. The trend from 2011 to 2019 shows, furthermore, that this increase happened continuously.
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License information was derived automatically
This article describes a free, open-source collection of templates for the popular Excel (2013, and later versions) spreadsheet program. These templates are spreadsheet files that allow easy and intuitive learning and the implementation of practical examples concerning descriptive statistics, random variables, confidence intervals, and hypothesis testing. Although they are designed to be used with Excel, they can also be employed with other free spreadsheet programs (changing some particular formulas). Moreover, we exploit some possibilities of the ActiveX controls of the Excel Developer Menu to perform interactive Gaussian density charts. Finally, it is important to note that they can be often embedded in a web page, so it is not necessary to employ Excel software for their use. These templates have been designed as a useful tool to teach basic statistics and to carry out data analysis even when the students are not familiar with Excel. Additionally, they can be used as a complement to other analytical software packages. They aim to assist students in learning statistics, within an intuitive working environment. Supplementary materials with the Excel templates are available online.