利用 大學管理學院 8 年的"就學貸款"與"學生成績"資料,進行 集群、ANOVA 與視覺化分析。
Master Thesis — Lunghwa University of Science and Technology
Institution: College of Management, Lunghwa University of Science and Technology Degree: Master’s Thesis
This project analyzes eight years of institutional data, including student loan application records and academic performance, collected by the College of Management at Lunghwa University of Science and Technology.
Using Python and statistical modeling, the study performs:
Clustering Analysis to identify hidden patterns among student groups
ANOVA (Analysis of Variance) to examine differences across loan usage and academic outcomes
Data Visualization to interpret trends and support decision-making
The research aims to provide insights into financial aid effectiveness, academic performance prediction, and institutional policy planning.
為 R Shiny 開發。
分析集群的函數,為 rsloan 的基礎, dataipt 、 dataopt 為資料輸入跟資料輸出的目錄。
set.seed(929)
getwd()
# R Kan Dev Function Main File
source("C:/dataipt/rfunc/main-rfunc.R")
# Data input CSV file
dataipth = "C:/dataipt/lhucmdt/lhumlndcw70"
# Data output CSV file
dataopth = "C:/dataopt/lhucmdt"
# input DF
rcsvdf(dataipth)
# input List
lhudata = rcsvlt(dataipth)
# Cluster Analysis Base colnames
hacbdt = c( "cala","loam","ec", "cppg")
# Cluster Analysis PKey colnames
pkb = c( "sid")
產生 階層式分群 、 變異數分析 、 各群敘述統計 、 就學貸款下的各群敘述統計 、 各分群的人數比例 等 資料集。
# Hierarchical clustering
hcaon(im13, hacbdt, pkb, hck = 6, dtname = "im13")
產生 單科目 與 多科目 的散佈圖。
# HCA Multiple ggplot proc
mainindex = c( "cala" )
courindex = c( "itdc", "cppg", "pcpg", "oopg", "itdcn", "cala", "calb", "ec",
"dtst", "nwkpm", "sadm", "idbs", "st", "mana", "inkpg", "dbms", "mis")
sg2proc("im11avt", mainindex, courindex)
mg2proc("im11avt", mainindex, courindex)
為目前分析過後的管理學院學生資料。
by Windows R Console 。 Here
若想要直接在 Console 的部分直接用寫好的自訂函數,可於 rfunc 目錄中執行寫好的 R File。
by Ubuntu Linux
shiny-server/rsloan/...
將 shiny-server 目錄向下 的整個 rsloan 目錄複製整個放置在 /srv/shiny-server/ 路徑下面,如下 :
放置路徑
/srv/shiny-server/rsloan
瀏覽器
127.0.0.1:3838/rsloan
為執行 R 執行預設時自動載入。
詳見 rsloan-environment 環境部屬
package 對應該版本為 R version 3.3.2。
NA 值的資料筆數處理 rsloan-dcna 。
有實際成績的科目欄位 / 所有科目欄位
Kan, Hao-Cheng. (2017). "A Study of Academic Achievement Analysis System: Using Cluster Analysis and Visualization". (Lunghwa University of Science and Technology). Retrieved from https://hdl.handle.net/11296/45ru69 .

