This is a repository for notes from the Intro to Data Wrangling Lesson of the Udacity Data Analyst Nanodegree.
In these notes a dataset for job postings is extracted, cleaned, and then analyzed quickly as an introduction to the process of data wrangling. The dataset takes the form of a series of job postings with several columns noting values such as the date of the posting, the company, and the job position. The dataset is analyzed using the numpy and pandas libraries, as well as matplotlib for visualizations.
This code depends on the following libraries:
pandasnumpymatplotlib
In addition to these, the Jupyter Notebook assumes that the data set, which was provided as a zip file, armenian-online-job-postings.zip, is in the project folder and, when extracted, provides a file, `online-job-postings.csv'
The Binder badge above can be used to explore an executable environment for this project.
- complete notebook with additional notes from lesson
- add comments
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