Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

28.0K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
28.0K
Review and Preview01:13

Review and Preview

8.9K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
8.9K
Qualitative Analysis01:10

Qualitative Analysis

232
Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
232
Bar Graph01:07

Bar Graph

16.1K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
16.1K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

32.0K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
32.0K
Quantitative Analysis01:12

Quantitative Analysis

256
Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
256

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Synergistic interactions between <i>Candida albicans</i> and <i>Enterococcus faecalis</i> promote toxin-dependent host cell damage.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Hidden allies: how extracellular vesicles drive biofilm formation, stress adaptation, and host-immune interactions in human fungal pathogens.

mBio·2024
Same author

Synergistic cross-kingdom host cell damage between <i>Candida albicans</i> and <i>Enterococcus faecalis</i>.

bioRxiv : the preprint server for biology·2024
Same author

High-Throughput Profiling of Candida auris Isolates Reveals Clade-Specific Metabolic Differences.

Microbiology spectrum·2023
Same author

Integrated analysis of SR-like protein kinases Sky1 and Sky2 links signaling networks with transcriptional regulation in <i>Candida albicans</i>.

Frontiers in cellular and infection microbiology·2023
Same author

<i>Candida albicans</i> SR-Like Protein Kinases Regulate Different Cellular Processes: Sky1 Is Involved in Control of Ion Homeostasis, While Sky2 Is Important for Dipeptide Utilization.

Frontiers in cellular and infection microbiology·2022

相关实验视频

Updated: Jun 14, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

3.5K

数据科学的文化构造:定性思路用于定量工作的定性想法.

Philipp Brandt1

  • 1Department of Sociology, Sciences Po/CSO, Paris, France.

Frontiers in big data
|August 29, 2024
PubMed
概括
此摘要是机器生成的。

这项研究分析了Twitter数据,以了解数据科学家不断变化的角色. 调查结果显示,除了商业和技术目标之外,伦理考虑越来越多地塑造了数据科学的定义.

关键词:
计算民族学计算民族学计算社会科学 计算社会科学数据科学数据科学突出出现的情况.专业知识 专业知识职业 职业 职业 职业 职业 职业 职业这是反射性的反射性.社交网络分析分析

更多相关视频

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design
06:18

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design

Published on: December 3, 2020

3.7K
Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
05:26

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

6.7K

相关实验视频

Last Updated: Jun 14, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

3.5K
Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design
06:18

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design

Published on: December 3, 2020

3.7K
Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
05:26

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

6.7K

科学领域:

  • 社会科学 社会科学 社会科学
  • 计算机科学 计算机科学
  • 数据科学数据科学数据科学

背景情况:

  • "数据科学家"的角色迅速出现和扩大.
  • 围绕数据科学家新角色的模糊性带来了挑战.
  • 了解数据科学的集体定义至关重要.

研究的目的:

  • 在Twitter上研究数据科学的集体定义.
  • 探索数据科学的文化视角和新兴性质.
  • 确定数据科学账户所讨论的目的和主题.

主要方法:

  • 分析了从1,025到752,815条推文的互补数据集.
  • 检查推特账户之间关于数据科学的关系.
  • 分析标签用于指示目的和讨论的主题.

主要成果:

  • 初步发现证实了商业和技术的动机.
  • 其他结果强调了对实践和道德标准的担忧.
  • 这些伦理问题成为定义数据科学的一个独特动机.

结论:

  • 为抽象数据集提供本地意义.
  • 为导航丰富的数据提供启发式的洞察力.
  • 在专业定位和未来导航方面指导数据科学家.