Data
Indeed-Software-Engineer-Job-Dataset

Indeed-Software-Engineer-Job-Dataset

active ARFF CC BY-NC-SA 4.0 Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context This DataSet is scrapped from the Website https://www.Indeed.com/ , I want to scrapped this dataset, as I'm looking for a job and it comes to my mind what if I scapped all this 10000 dataset and analyze it. Content This Dataset contain 10,000 rows and 6 columns, 10000 rows means 10000 job profiles form different companies. Acknowledgements This DataSet is scrapped from Indeed Website, I want to thank them to allow me to scrap. Here is the Web Scrapping Code https://www.kaggle.com/samrat77/indeed-job-web-scraping Inspiration Please analyze it if you want to, and if there is any mistake in the data, Please Feel free to correct me and also if you want to ask anything about the web scraping process, feel free to ask.

7 features

Unnamed:_0numeric10000 unique values
0 missing
Namestring562 unique values
0 missing
Companystring495 unique values
0 missing
Citystring92 unique values
0 missing
Ratingsnumeric26 unique values
3776 missing
Summarystring912 unique values
0 missing
Datestring29 unique values
0 missing

19 properties

10000
Number of instances (rows) of the dataset.
7
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
3776
Number of missing values in the dataset.
3776
Number of instances with at least one value missing.
2
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
28.57
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
37.76
Percentage of instances having missing values.
Average class difference between consecutive instances.
5.39
Percentage of missing values.

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