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Related contents of my Medium publication: DataInPoint

比較主流深度學習框架在 GitHub 的活躍程度 - 網頁資料自動擷取(爬蟲)與視覺化技巧

  • dl_comparison_github.ipynb
  • get_github_activities.py
  • plotly_bar_w_dropdown.py

R 語言動態視覺化的 Hello World - 利用 RSelenium、plotly 與 shiny 模仿 Hans Rosling 的視覺化大作

  • get_tidy_df.R
  • get_zipped_csv.R
  • gapminder_replica_shinyapp

從 pandas 開始 Python 與資料科學之旅 - 仿效 Tidyverse 的學習模式

  • learn_pd_like_tidyverse.ipynb

臺北馬拉松參賽選手水平逐漸提升 - 近七年臺北馬拉松完賽時間的資料擷取與視覺化

  • get_runner_record.py
  • write_concatenated_df.py
  • get_time_group.R
  • draw_ggplots.R
  • taipei_marathon_analysis.ipynb

Johns Hopkins R Programming 的第二週作業:Air Pollution - 透過練習精進 R 語言程式設計

  • complete.R
  • corr.R
  • get_specdata.R
  • pollutantmean.R

Johns Hopkins R Programming 的第四週作業:Hospital Quality - 透過練習精進 R 語言程式設計

  • best.R
  • rankhospital.R
  • rankall.R

University of Michigan Introduction to Data Science in Python 的第二週作業:Pandas Introduction(Part 1) - 透過練習精進 Python 資料科學應用

University of Michigan Introduction to Data Science in Python 的第二週作業:Pandas Introduction(Part 2) - 透過練習精進 Python 資料科學應用

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