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pandasで警察活動を分析する
中級スキルレベル
更新 2024/09無料でコースを始める
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PythonData Manipulation4時間16 videos50 Exercises4,100 XP66,023達成証明書
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前提条件
Joining Data with pandas1
Preparing the data for analysis
Before beginning your analysis, it is critical that you first examine and clean the dataset, to make working with it a more efficient process. In this chapter, you will practice fixing data types, handling missing values, and dropping columns and rows while learning about the Stanford Open Policing Project dataset.
2
Exploring the relationship between gender and policing
Does the gender of a driver have an impact on police behavior during a traffic stop? In this chapter, you will explore that question while practicing filtering, grouping, method chaining, Boolean math, string methods, and more!
3
Visual exploratory data analysis
Are you more likely to get arrested at a certain time of day? Are drug-related stops on the rise? In this chapter, you will answer these and other questions by analyzing the dataset visually, since plots can help you to understand trends in a way that examining the raw data cannot.
4
Analyzing the effect of weather on policing
In this chapter, you will use a second dataset to explore the impact of weather conditions on police behavior during traffic stops. You will practice merging and reshaping datasets, assessing whether a data source is trustworthy, working with categorical data, and other advanced skills.
pandasで警察活動を分析する
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