ss
Age,Female,Male 0~10,5,6 11~20,15,14 21~30,20,22 31~40,25,24 41~50,25,28 51~60,30,26 61~70,20,18 71~80,15,16 81~90,10,12
Select option:
This one you selected:Pyramid
1. table_editor_aiPDF
2. semantic data using GPT
3. Silhouette Score in pythen
4. Network Plot in pythen(SS as mean bar only)
FLCA Demo
flca_test_run
@@@FastAPI:Coword TAAA FLCA Plots
python 2file network
Silhouette Score in R
Silhouette Score in Python
@@@FastAPI:Silhouette Network Plots via 2 files
cmcgenerateannually
PDF chatGPT Assessment
Fancy Slope graph burst
Download Zoo data
Download zoondigitaldata.csv
@@@Digital to Text for response data
1.Known cluster labels(TAAA Prompt GPT for Zoo case)
AfterTAAA for topic via ChatGPT
2.Cluster labels unknown on coword data
Hungarian Algorithm匈牙利法最佳化指派問題)
FactorCluster
Gemerate Data 2 factors
@@@Factor Cluster
Loo_cluster_theme_stability
Bootstrap_theme_stability
TAAAtextinR
TAAA digital inR
A simple app in R on web at http://127.0.0.1:5377
TAM for csv 3DIM 24 items
@@@Run TAM4csv3DIM24
Deployment to shiny
TAM MR example shiny
TAM continuous response data
TAM Plausible Value
TAM 1st residual PCA MR UR
Comparison2anduniSTNDresidual
Winsteps TABLE2 dot 5
To know PTMA in Winstpes
PCA relation nresidual