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Introduction to Python for Data Analysis
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Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2
First Step in ProgrammingDeal with VariablesPractice Math SkillsChallengeDeal with PercentsHow to Attract One User?ChallengeLearn NumbersBoolean NumbersChallengeWork with StringsGet Familiar with ListsHow to Append New Element?
2. Introduction to Python 2/2
If/ElseChallengeIf/Elif/ElseChallengeFor LoopWhile LoopChallenge
3. Explore Dataset
Data StudyOperations with the FileHow to Explore the DataSorting DataMax, min, mean, medianChallengeGroup DataDive Deeper into Grouping DataGroup Data 2.0Introduction to NumPyPivot TablesRecall Loops.loc FunctionDeal with Several ConditionsChallengeVisualization: First StepsDive Deeper into Visualization
4. Becoming an Analyst
Data StudyExamine DatasetChallengeСAC 1/2CAC 2/2Costly CustomersOrganic TrafficHow Much Do We EarnIs Our Project Profitable? ROI 1/2ROI 2/2Visualize ROI

bookChallenge

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Fill in the missing gaps to find the minimum of the 'price' column and then show the first 10 rows of the file.

importas pd
df = pd.('file.csv')
print(df['price'])
print()
5
user_id plan price trial
938 month 25 False
769 year 65 True
892 week 5 True
1521 week 5 True
155 week 5 True
229 year 65 True
1843 week 5 True
386 week 5 True
972 week 5 True
1394 week 5 True

Натисніть або перетягніть елементи та заповніть пропуски

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