![]() ![]() So, we check the data trends over time.ĭata is highly related. We might want to analyze stock prices or see which day of the week traffic is highest, and so on. Such data helps in tracking trends and changes over time. Examples of such data can be stock prices, sales data over time, rainfall and temperature at a place along with the time, road traffic at a particular place, and so on. There are various types of data visualizations, and all of them have different purposes and needs.ĭata that has a timestamp associated with it is considered to be time-series data. ![]() Some Practical Uses of Data Visualization Machine Learning helps in making predictions, doing predictive analytics, and other tasks similarly, good visualizations help in data exploration. Data must convey a specific message and explain things clearly good visuals often make the process easy and simple. Whether in finance, marketing, sales, technology, engineering, research, or human resources, data analysis and visualization will be more important in the coming days. It doesn’t matter which department or sector good data analysis and visualization are great things and will be in high demand in the days to come. Data visuals must attract the attention of the audience and convey the appropriate message. Data findings and visuals need to be properly presented as well.
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