Visualizing job postings dataset to determine which industry has the highest number of fake job postings.
- Python programming language was utilized to perform this visualization.
- Imported necessery libraries.
- Imported dataset into coding environment (google colab).
- Analyzed dataset columns to determine the industry column of interest.
- Used groupby to visualize number of fraudulent and non-fraudulent jobs.
- Used seaborn and matplotlib to plot count of fraudulent and non-fraudulen jobs to number of job postings.
- Performed unique count of number of industries available in datset, result showed 132 industries present.
- Because of the large number of industries available, only top 10 were considered for visualization.
- Visualized top 10 industries with fake job posting in table format.
- Visualized top 10 industries with fake job posting in barplot using seaborn and matplotlib.
The Oil and Energy Industry has the highest number of fake job postings. 109 out of the 287 jobs posted are fake.
