2.11:
Time-Series Graph
Quantitative data collected at different time points are called time-series data.
For example, consider the increase in water temperature when heated. Such data sets with a time factor can be visualized using the time-series graph.
Begin by measuring the temperature of the water at regular intervals and noting it in a table. Next, plot a graph with time represented on the X-axis and temperature on the Y-axis.
Then, mark the measured temperature at each time interval and draw a continuous line connecting all these data points. Using this graph, one can conclude that it took 15 minutes to bring water to 100 degrees Celsius.
Other examples of time-series graphs include the stock price of a company, pulse rate, and weather reports.
2.11:
Time-Series Graph
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph are typically connected by straight lines in the order in which they occur.
Time-series graphs are important tools in various statistical applications. When recording values of the same variable over an extended period of time, sometimes it is difficult to discern any trend or pattern. However, once the same data points are displayed graphically, some features jump out. Time-series graphs make trends easy to spot.