Exploratory data analysis

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* 1. Check what can be applied to exploratory data analysis:

check assumptions.

discover patterns.

spot anomalies.

test hypothesis.

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* 2. What is results of executing len() function on crime data set?

685.

675.

825.

835.

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* 3. Please choose most frequent crime category in crime dataset:

LARCENY/THEFT.

VANDALISM.

MISSING PERSON.

ASSAULT.

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* 4. What function in DF (Series) allows to quickly see summary aggregation of the counts per category?

rank()

unique()

value_counts()

describe()

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* 5. In crimes dataset most of crimes were resolved:

True.

False.

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* 6. Please choose what libraries were used in the notebook:

matplotlib.

ggplot.

seaborn.

pygal.