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HomeHomework HelpjournalismData Analytics in News

Data Analytics in News

Data Analytics in News Narratives refers to the systematic examination and interpretation of quantitative and qualitative data within news stories to uncover patterns, trends, and insights that enhance understanding of complex biological phenomena and societal issues. This approach integrates statistical methods and computational tools to analyze large datasets, facilitating informed decision-making and evidence-based reporting in the context of biology and public health.

intermediate
5 hours
Journalism
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Overview

Data analytics in news narratives is a powerful tool that allows journalists to uncover insights and trends that may not be immediately visible. By leveraging data collection, statistical analysis, and visualization techniques, journalists can enhance their storytelling and provide evidence-based re...

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Key Terms

Data Analytics
The process of examining data sets to draw conclusions.

Example: Data analytics helps identify trends in public opinion.

Data Visualization
The graphical representation of information and data.

Example: Charts and graphs are common forms of data visualization.

Statistical Analysis
The process of collecting and analyzing data to identify patterns.

Example: Statistical analysis can reveal correlations between variables.

Survey
A method of gathering information from individuals.

Example: Surveys can be used to gauge public sentiment on issues.

Web Scraping
The process of extracting data from websites.

Example: Web scraping can collect data from news articles for analysis.

Public Records
Documents or pieces of information that are not considered confidential.

Example: Public records can include court documents and government reports.

Related Topics

Data Journalism
The practice of using data to tell news stories.
intermediate
Statistical Methods in Research
Exploring various statistical techniques used in research.
advanced
Ethics in Journalism
Understanding the moral principles guiding journalistic practices.
intermediate

Key Concepts

Data CollectionData VisualizationStatistical AnalysisStorytelling