Choose five different charting techniques that are available for visualization and compare. Explain why some are not suitable for displaying data and why others are more effective for data displays.

Bus 625 week 1 discussion 2

1. Bar Graphs: A bar graph is a chart that represents data using horizontal or vertical bars, with the length of each bar proportional to the value it represents. It is most effective for comparing values between different categories because it allows the viewer to quickly see how one category compares to another.
2. Line Graphs: A line graph shows changes in data over time and is useful for tracking trends and patterns in data. It can be used to compare multiple sets of data as well.
3. Pie Charts: A pie chart displays information as a circle broken up into segments that represent different values or categories, with the size of each segment based on its relative value or proportion compared to the whole.
4. Scatter Plots: Scatter plots are useful for showing relationships between two variables by graphing individual points on an x-y axis where each point corresponds to an observation from your dataset.
5. Heat Maps: Heat maps are used to visualize correlations between two variables by using color intensity (darker colors representing higher values).

Some charting techniques such as line graphs and scatter plots are not suitable for displaying categorical data since they require numerical values for both axes; these charts would instead be better suited for visualizing quantitative/numerical datasets such as those dealing with populations/demographics or sales figures over time. Other charts such as bar graphs and pie charts are more effective at visualizing categorical datasets because they use easily discernible shape variations (e.g., bars) rather than color intensities (e.g., heat maps) which may not provide enough contrast in order to accurately compare different categories.