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Thomson Reuters and the Thomson Reuters logo are registered trademarks and trademarks of Thomson Reuters and its affiliated companies. View an enlarged version of the chart 2015 Thomson Reuters. All rights reserved. Republication or redistribution of Thomson Reuters content including by framing or similar means is prohibited without the prior written consent of Thomson Reuters. In other words line 2 tends to lead line 1 by 3 months. Datatypes The datatype defines the type of data. For...
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Start by logging into the datastream charting platform.
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Click on the 'Create New Chart' button to begin creating a new chart.
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Choose the type of chart you want to create (line chart, bar chart, etc.)
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Select the datastreams you want to include in the chart by clicking on the 'Add Datastream' button.
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Adjust the chart settings such as title, axis labels, and color scheme.
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Who needs datastream charting?

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Financial analysts who need to analyze and track market data in real-time.
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Datastream charting is a method of visualizing and analyzing data streams over time to identify patterns, trends, and anomalies.
Typically, companies or organizations that handle large volumes of data and need to track and analyze data streams are required to file datastream charting.
Datastream charting can be filled out by collecting data points over a period of time, plotting them on a chart, and analyzing the resulting trends.
The purpose of datastream charting is to gain insights into data patterns, trends, and anomalies that can inform decision-making processes.
Datastream charting typically requires reporting of data points, time intervals, charts or graphs visualizing the data, and any analysis or insights derived from the data.
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