Malvika Bhagat
Roll No: 14087
Group G
Topics covered: Bubble chart, Time Series, Radar Graph
A bubble chart is a type of chart that displays three dimensions of data. Each entity with its triplet (v1, v2, v3) of associated data is plotted as a disk that expresses two of the vi values through the disk's xy location and the third through its size. Bubble charts can facilitate the understanding of social, economical, medical, and other scientific relationships.
Bubble charts can be considered a variation of the scatter plot, in which the data points are replaced with bubbles. As the documentation for Microsoft Office explains, "this type of chart can be used instead of a Scatter chart if your data has three data series, each of which contains a set of values".
According to Berman (2007), bubble charts can "be used in project Management to compare the risk and reward among projects. In a chart each project can be respresented by a bubble,the axis can represent the net present value and probability of success and the size of the bubble can represent the overall cost of the project.
Bubble charts were introduced by Fernanda Viegas and Martin Wattenberg and have since become a popular method of displaying data. Bubble charts are included in popular visualization toolkits such as D3 and have been used by the New York Times.
Example:
Bubble charts are useful when your worksheet has any of the following types of data:
Three values per data point
Negative values
Multiple data series
Time Series:
In statistics, signal processing, econometrics and mathematical finance, a time series is a sequence of data points, measured typically at successive time instants spaced at uniform time intervals. Examples of time series are the daily closing value of the Dow Jones index or the annual flow volume of the Nile River at Aswan. Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. Time series are very frequently plotted via line charts.
A stochastic model for a time series will generally reflect the fact that observations close together in time will be more closely related than observations further apart.
Radar Chart:
In a radar chart, data points are drawn evenly spaced, clockwise around the chart. The value of the point is represented as the distance from the center of the chart, where the center represents the minimum value, and the chart edge is the maximum value. Each series is drawn as one complete circuit of the chart. The chart connects these points with straight or curved lines, as you specify. So, a radar chart is essentially a line chart wrapped into a circle, where the y-axis goes from the center of the chart to the perimeter, and the x-axis is the perimeter of the chart, starting and ending at the 12:00 line.
A chart is divided evenly into equal segments; the number of segments is the greater of these two values:
If you have multiple series, the series with the most point is counted. The minimum number of segments is four; if you have fewer than four labels or data points, the chart will default to four segments. You need n+1 data points to make a complete circuit of the chart, where n is the number of segments. More data points will increase the granularity of the chart. Your data will never go around the chart more than once.
.A radar chart can support multiple series. Each series is a line on the chart.
Note:
Sir the Graphs i have put in are not visible for some Reason...
Roll No: 14087
Group G
Topics covered: Bubble chart, Time Series, Radar Graph
A bubble chart is a type of chart that displays three dimensions of data. Each entity with its triplet (v1, v2, v3) of associated data is plotted as a disk that expresses two of the vi values through the disk's xy location and the third through its size. Bubble charts can facilitate the understanding of social, economical, medical, and other scientific relationships.
Bubble charts can be considered a variation of the scatter plot, in which the data points are replaced with bubbles. As the documentation for Microsoft Office explains, "this type of chart can be used instead of a Scatter chart if your data has three data series, each of which contains a set of values".
According to Berman (2007), bubble charts can "be used in project Management to compare the risk and reward among projects. In a chart each project can be respresented by a bubble,the axis can represent the net present value and probability of success and the size of the bubble can represent the overall cost of the project.
Bubble charts were introduced by Fernanda Viegas and Martin Wattenberg and have since become a popular method of displaying data. Bubble charts are included in popular visualization toolkits such as D3 and have been used by the New York Times.
Example:
Bubble charts are useful when your worksheet has any of the following types of data:
Three values per data point
Negative values
Multiple data series
Notes
- Smaller bubbles may be hidden by larger bubbles, making it seem that Excel has not drawn all of the data markers.
- When an entire data series contains negative bubble sizes, the series is not displayed by default. If you want to see the negative bubbles, select the series you want in the Chart Objects list on the Chart toolbar, and then click Format Data Series on the same toolbar. On the Options tab, select the Show Negative Bubbles check box.
Time Series:
In statistics, signal processing, econometrics and mathematical finance, a time series is a sequence of data points, measured typically at successive time instants spaced at uniform time intervals. Examples of time series are the daily closing value of the Dow Jones index or the annual flow volume of the Nile River at Aswan. Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. Time series are very frequently plotted via line charts.
A stochastic model for a time series will generally reflect the fact that observations close together in time will be more closely related than observations further apart.
Radar Chart:
In a radar chart, data points are drawn evenly spaced, clockwise around the chart. The value of the point is represented as the distance from the center of the chart, where the center represents the minimum value, and the chart edge is the maximum value. Each series is drawn as one complete circuit of the chart. The chart connects these points with straight or curved lines, as you specify. So, a radar chart is essentially a line chart wrapped into a circle, where the y-axis goes from the center of the chart to the perimeter, and the x-axis is the perimeter of the chart, starting and ending at the 12:00 line.
A chart is divided evenly into equal segments; the number of segments is the greater of these two values:
- the number of labels + 1 (as specified by
chxl, if present), or - the number of data values.
If you have multiple series, the series with the most point is counted. The minimum number of segments is four; if you have fewer than four labels or data points, the chart will default to four segments. You need n+1 data points to make a complete circuit of the chart, where n is the number of segments. More data points will increase the granularity of the chart. Your data will never go around the chart more than once.
.A radar chart can support multiple series. Each series is a line on the chart.
Note:
Sir the Graphs i have put in are not visible for some Reason...
No comments:
Post a Comment