ChallengeConservationPYTHON+20 XP

Data Analytics case 3: Data cleaning for Conservation

Scenario

You are a data professional. A national game reserve has an issue: the animal_counts export has blank and duplicated rows, so reports disagree. As a Reporting Analyst, you are tasked to solve it.

Question

Remove duplicates and blanks, then report the clean total.

Data Analytics · Problem Solving & Root Cause Analysis — question 3 of 30

Finish all 30 to earn a certificate

1. Choose your dataset

Pick an industry and a size. Your code and results change to match.

📓 DataPro notebookcase-data-analytics-3.ipynbFileEditViewRunKernel: Python 3
[md]

Data Analytics case 3: Data cleaning for Conservation

Remove duplicates and blanks, then report the clean total.

In [1]:

Your code cell is below. Press Check my answer to run the cell — the result appears as Out [1].

python editor
Type your code here ↓
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Dataset & schema

animal_counts

The tiny starter data. Bigger data scrolls.

Fields

count_idspeciesseen
A1Rhino4
A2Lion7
A3Rhino3
A4Zebra12

Conservation data only.

attempts: 0
▶ Output terminal
$ Press “Check my answer” — results appear here.

Your next steps

Each item turns green when your answer includes it.

2 left
  • Drops duplicates
  • Drops blanks