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Data Analysis Portfolio with Python

Open Source Insights from 8 Years Report Data

  • Overview <- you can download and have a look at it
  • work sample for webinar <- you can download and have a look at it
  • webinar on youtube <- you can download and have a look at it
  • press release sample <- you can download and have a look at it
  • Applied skills:
    • Collecting: Python(pandas, numpy, tqdm, os, shutil
    • Pre-processing: Python(pandas, numpy, matplotlib)
    • Analysis and Visualisation: Taebleau
  • A wide range of insights for questions below
    • How many open sources domestic companies have used?
    • What kind of open sources and licenses are used in domestic companies the most?

Business Insights from advertisement data

  • Analysis source code
  • Applied skills: pandas, matplotlip, seaborn, wordcloud
  • analysis reports of ad keywords and groups by data analysis in order to increase the efficiency of Naver keyword advertising.

Business Insights from practical E-COMMERCE COMPANY DATA

  • Analysis source code
  • Applied skills: pandas, numpy, matplotlib, seaborn, sqlite3
  • a wide range of insights extracted from data of users, orders and logs
    • Sales figures of top 10 shops
    • Sales figures over time
    • Age groups of shoppers by shops
    • Comparison age group between prospectives and real customers
    • Top 3 keywords visualisation
    • Log number by cycle
    • Average of log number by cycle per user
    • Top 5 users who have the most activities in the website
    • Top 10 session duration
    • Duration time by users
    • Duration time by users with purchase
    • Duration time by users without purchase

CCTV Installation Status in Seoul

  • Analysis source code
  • Applied skills: pandas, numpy, matplotlib, seaborn, folium
  • The answer to a question Which district(gu) in Seoul has the most CCTV camera?

COVID-19 Status in Seoul

  • Analysis source code
  • Applied skills: pandas, numpy, matplotlib, sqlite3, requests, re
  • A wide range of insights for questions below
    • Q. What is the date of the most confirmed cases? how many people are infected in that day?
    • Q. Which month / week the most confirmed cases appeared in?
    • Q. Since when, the spread of coronavirus has been seroious?
    • Q. Which day of the week has the most confirmed cases?
    • Q. Which district has the most confirmed cases?
    • Q. What is the most dangerous route for the spread of coronavirus?
    • Q. Which month has the most unknown route of confirmed cases?
    • Q. Whos casused the most spread?
    • Q. Which country has caused the most confirmed cases?
    • Q. What month has the most imported cases from overseas?
    • Q. Which district has the most imported cases from overseas?

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Data Analysis Portfolio with Python

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