D207- Exploratory Data Analysis With All Correct Answers 2025
1. Nominal Data Data which consists of names, labels, or categories. Martial Status, Sex,
Gender, Ethnicity - Qualitative
2. Define Correlation describes the relationship between two or more variables
Correla- tion
which is then plotted on a linear scale. Example how is disease
progression and exercise correlated.
-> If positive correlation then 2 variables tend to increase or decrease
together
-> If negative correlation then 2 variables are inversely related
-> If 0 correlation then the 2 variables have no relationship or correlation
-> Goes from -1 to 1
3. Python Heatmap Use Seaborn package: Sns.heatmap(DF.corr(). vmin=-1, vmax=1
Camp = sns.diverging_palette(10, 400, as_cmap=True
4. Ordinal Data A type of data that refers solely to a ranking of some kind. Student Letter
Grades, NFL Team Rankings- Qualitative
5. Interval Data Ditterences between values can be found, but there is no absolute 0.
(Temp. and Time), SAT scores, IQ, Year - Quantitative and Continuous
6. Ratio Data Data with an absolute 0. Ratios are meaningful. (Length, Width, Weight,
Distance), Age, Height, Weight - Quantitative and Continuous
7. R-Squared 0 to 1
Can not be negative because it's squared
8. T-test Measure one or two
groups Parametric test
Means test
1/
2
1. Nominal Data Data which consists of names, labels, or categories. Martial Status, Sex,
Gender, Ethnicity - Qualitative
2. Define Correlation describes the relationship between two or more variables
Correla- tion
which is then plotted on a linear scale. Example how is disease
progression and exercise correlated.
-> If positive correlation then 2 variables tend to increase or decrease
together
-> If negative correlation then 2 variables are inversely related
-> If 0 correlation then the 2 variables have no relationship or correlation
-> Goes from -1 to 1
3. Python Heatmap Use Seaborn package: Sns.heatmap(DF.corr(). vmin=-1, vmax=1
Camp = sns.diverging_palette(10, 400, as_cmap=True
4. Ordinal Data A type of data that refers solely to a ranking of some kind. Student Letter
Grades, NFL Team Rankings- Qualitative
5. Interval Data Ditterences between values can be found, but there is no absolute 0.
(Temp. and Time), SAT scores, IQ, Year - Quantitative and Continuous
6. Ratio Data Data with an absolute 0. Ratios are meaningful. (Length, Width, Weight,
Distance), Age, Height, Weight - Quantitative and Continuous
7. R-Squared 0 to 1
Can not be negative because it's squared
8. T-test Measure one or two
groups Parametric test
Means test
1/
2
