Question

Please Provide an explanation for answers. Thank you!

1. When displaying quantitative data, what important factors must the analyst think about when choosing the type of charts/ graphs/ visualizations to display?

2. What statistic measures the relationship between 2 variables, and does not depend on the units of measurement for x and y?

Answer 1

1. when displaying qualitative data ,

line charts can be used specially in time series data (data on which the values are given for different times) if you are want to analyse the pattern of changes or identify the trend of the data.

column charts and bar charts can be used for the variables like yields of cereals, pulses etc.

divided column charts can be used to shoe relative yeilds.

pie chart are most famously used in comparing proportions of different variables or just comparative variables like costs of different commodities, levels of diffentent gases in the atmosphere etc.

2. the statistic which measures the relationship between 2 variables and it does not depend on th units of measurement of x and y.

its value ranges from -1 to +1 .

negative values of the correlation coefficient indicates the negative relation between the variables x and y that is if one increses the othr decreases whereas the positive correlation means that if one increases the other increases too.

the value 1 or -1 indicates perfect linear relationship between the variables x and y.