Q1easyA data scientist executes df.describe() in Pandas. What does this output provide?AThe correlation coefficient.BDescriptive statistics (Count, Mean, Std, Min/Max, Percentiles).CA graph of the data.DA list of all unique values.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q2easyWhat is the difference between a histogram and a bar chart?AThey are identical.BHistograms are for 1D data; Bar charts are for 3D data.CHistograms display continuous data distributions with no gaps between bars; Bar charts display categorical data with spaces between bars.DBar charts are for statistics; Histograms are for images.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q3easyA Boxplot is most useful for detecting which of the following?AOutliers, the median, and the interquartile range (IQR).BThe exact sum of a column.CThe categorical distribution.DThe time-series trend.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q4easyIn a correlation matrix, what does a value of -0.95 between two variables imply?ANo relationship between variables.BStrong positive correlation.CStrong negative correlation (as one increases, the other decreases).DPerfect causal relationship.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q5easyLooking at the Matplotlib code below, what is the output?AA pie chart showing the percentage of each value.BA histogram showing the frequency distribution of the values.CA line graph showing the trend over time.DA bar chart showing frequency of categories.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q6easyWhy is Multivariate Analysis important?ABecause it is easier to compute than univariate analysis.BBecause it encrypts the data.CBecause it reduces the dataset size.DBecause it helps identify hidden relationships between multiple variables that univariate analysis might miss.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q7mediumYou are examining the distribution of customer ages. You notice a "long tail" on the right side. This distribution is called:ANormally distributedBRight-skewed (Positively skewed)CLeft-skewedDUniformly distributedCheck AnswerReveal Answer & ExplanationDiscuss on Board
Q8easyWhat does the "IQR Rule" for detecting outliers use?AThe Mean +/- 2 standard deviations.BThe standard deviation.CThe Interquartile Range (Q3 - Q1).DThe minimum and maximum values.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q9easyWhat is the primary purpose of Exploratory Data Analysis (EDA)?ATo gain insights, identify patterns, and detect anomalies before choosing a specific modeling technique.BTo finalize the machine learning model deployment.CTo convert all data into binary format.DTo replace the data cleaning phase.Check AnswerReveal Answer & ExplanationDiscuss on Board