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Related Concept Videos

Review and Preview01:13

Review and Preview

12.0K
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...
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Review and Preview01:10

Review and Preview

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
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Data Reporting and Recording01:24

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Bar Graph01:07

Bar Graph

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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...
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Data Collection by Observations01:08

Data Collection by Observations

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Pie Chart01:04

Pie Chart

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A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
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The Need to Help Journalists with Data and Information Visualization.

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    This summary is machine-generated.

    Data visualization helps news outlets engage readers on mobile devices. Local news organizations require assistance to implement these visual storytelling techniques effectively.

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    Area of Science:

    • Digital Journalism
    • Data Visualization
    • Media Studies

    Background:

    • News consumption is shifting towards mobile platforms.
    • Media organizations are adopting data visualization to enhance reader engagement.
    • Traditional journalistic training often lacks data analysis and coding skills.

    Purpose of the Study:

    • To explore the role of data visualization in modern journalism.
    • To address the challenges faced by local news organizations in adopting data visualization.
    • To highlight the need for support for local newsrooms in implementing visual storytelling.

    Main Methods:

    • Analysis of current trends in digital news consumption.
    • Review of data visualization adoption by media companies.
    • Identification of resource gaps for local news organizations.

    Main Results:

    • Data visualization is increasingly crucial for engaging mobile news readers.
    • Large media organizations have resources for data visualization experts.
    • Local news outlets face significant resource limitations in this area.

    Conclusions:

    • Data visualization is essential for contemporary news delivery.
    • Support is critically needed for local news organizations to leverage data visualization.
    • Bridging the resource gap is key for equitable digital journalism.