If you want to represent both the distribution and density of data, a _____ plot is a good choice.
- Bar
- Line
- Scatter
- Violin
A Violin plot is a good choice to represent both the distribution and density of data. It combines aspects of both a box plot and a density plot, giving a fuller picture of the distribution.
What are the potential downsides of removing outliers from your dataset?
- It always improves the quality of the dataset
- It might discard important information
- It might introduce noise into the dataset
- nan
Removing outliers might discard potentially important information that could significantly influence the analysis results.
A correlation coefficient of 0 implies ________.
- A strong negative relationship
- A strong positive relationship
- An uncertain relationship
- No linear relationship
A correlation coefficient of 0 implies no linear relationship between the variables. However, it doesn't necessarily mean that there is no relationship at all, as the relationship could be non-linear.
In the EDA process, what does 'wrangling' refer to?
- Cleaning and transforming data
- Formulating hypothesis
- Interpreting data
- Visualizing data
Wrangling in the EDA process refers to the cleaning and transforming of data to facilitate subsequent analysis. This could involve addressing missing values, correcting inconsistencies, or reshaping the data structure.
What happens to a model's performance when missing data is not handled correctly?
- It depends on the model.
- It deteriorates.
- It improves.
- It remains the same.
When missing data is not handled correctly, it can distort the underlying data distribution and lead to incorrect model learning, ultimately deteriorating the model's performance.
How does the choice of the threshold affect the number of identified outliers using the Z-score method?
- A higher threshold identifies more outliers
- A lower threshold identifies more outliers
- It has no effect
- The threshold value is irrelevant in the Z-score method
The lower the threshold, the more data points will exceed it, and thus, more outliers will be identified.
Outliers are _________ observations that lie an abnormal distance from other values in a dataset.
- Anomalous
- Erroneous
- Random
- Statistical
Anomalous is the correct term. Outliers are anomalous observations that lie an abnormal distance from other values in a random sample from a population.
An unusually large or small value in a dataset, which does not follow the general trend of the rest of the data, is known as an ________.
- Aberration
- Anomaly
- Deviation
- Outlier
An unusually large or small value in a dataset, which does not follow the general trend of the rest of the data, is known as an outlier.
In a _____ plot, the width of the "violin" indicates the frequency or density of data.
- Bar
- Box
- Scatter
- Violin
In a Violin plot, the width of the "violin" (or the density plot on each side) varies with the estimated density of data points at a given level. The wider the plot, the higher the density of data points at that value.
During an experiment, you discover that a certain variable is presenting a high number of outliers. What might this suggest about your data collection process?
- Both are possible
- Data collection process is accurate
- Data collection process is flawed
- Neither of these is possible
A high number of outliers might suggest that there are issues with the data collection process, such as measurement errors or other issues.