Anomalous data on a graph typically appears as points that deviate significantly from the overall pattern or trend of the dataset. These outliers can be much higher or lower than the majority of the data points, indicating potential errors, unique events, or variability in the data. In a scatter plot, for instance, they may lie far from the regression line, while in a time series graph, they might manifest as sudden spikes or drops. Identifying these anomalies is crucial for data analysis, as they can provide insights or indicate potential issues.
An Outlier; an Outlier is when a point is not part of a trend (pattern)
it differs becaus eit shows differ amount of data and it gives a differ piont of point of numbers
A line graph is used to show data over time.
Graph's functions visualize data, putting it in perspectie and comparision. and to show data
A graph with no trend displays a random distribution of data points that do not show any consistent pattern or direction over time. In contrast, a graph with anomalous data points may exhibit an overall trend but includes outliers that deviate significantly from the expected pattern. These anomalies can indicate unusual events or errors in data collection, while a no-trend graph suggests stability or lack of correlation among the variables. Thus, the key difference lies in the presence of patterns versus random fluctuations.
An Outlier; an Outlier is when a point is not part of a trend (pattern)
it differs becaus eit shows differ amount of data and it gives a differ piont of point of numbers
it differs becaus eit shows differ amount of data and it gives a differ piont of point of numbers
it differs becaus eit shows differ amount of data and it gives a differ piont of point of numbers
it differs becaus eit shows differ amount of data and it gives a differ piont of point of numbers
A line graph is used to show data over time.
bar graph
Anomalous Data
Graph's functions visualize data, putting it in perspectie and comparision. and to show data
A graph with no trend displays a random distribution of data points that do not show any consistent pattern or direction over time. In contrast, a graph with anomalous data points may exhibit an overall trend but includes outliers that deviate significantly from the expected pattern. These anomalies can indicate unusual events or errors in data collection, while a no-trend graph suggests stability or lack of correlation among the variables. Thus, the key difference lies in the presence of patterns versus random fluctuations.
they both show data
The graph could go on forever while a data table only shows a part of the graph.