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Visible Learning: umfassende Erweiterungen

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- Berechnung Kopplungspotenzial je Bedürfnis (Young/Roediger)
- Export von coupling_potential_per_need.csv inkl. bridge_energy
- Aggregation und Export von Kopplungsindizes (per Item, per Need)
- Konsolidierung des Mappings Young ↔ Hattie (werte_mapping.csv)
- Neue Visualisierungen:
  • Kopplungspotenzial (2D, farbkodiert nach Balance)
  • Item-Projektion mit Communities
  • 3D-Netzwerkdarstellung (Systemebenen × Thermometer)
  • 3D-Triangulation: Effekt × Bedürfnis × Semantik
  • Thermo-Dashboard (Energie, Entropie, Modularität)
- Verbesserte Skalierungen (Effektstärken normiert, Markergrößen, Kantenstärken)
- Konsistente Export-Pfade (export/*.csv, *.html, *.png)
- Fehlerbehebungen:
  • os-Import nachgezogen
  • robustere Merge-Strategien beim CSV-Export
  • Schutz vor leeren/inkonsistenten Spalten
- CI-Styling & Plotly-Template in alle neuen Plots integriert
This commit is contained in:
Jochen Hanisch-Johannsen
2025-09-08 02:43:28 +02:00
parent aab5c683b9
commit 7e75ed790c
27 changed files with 6995 additions and 1684 deletions
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6
export/deskriptiv.csv
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@ -1,8 +1,12 @@
,n,mean,std,min,q1,median,q3,max,skew,kurtosis
Gesamt,169,0.28763313609467456,0.3640026593835829,-0.65,0.08,0.29,0.5,1.34,0.02292521321528149,0.5904279244649904
Gesamt,226,0.33261061946902654,0.34543859228852997,-0.65,0.1325,0.38,0.5375000000000001,1.34,-0.17912807419388987,0.649417345149399
Kapitel 5,51,0.20823529411764705,0.46120583639998713,-0.65,-0.04,0.19,0.545,1.28,0.005859999358959804,-0.5443848598925407
Kapitel 6,20,0.1275,0.27132957236929645,-0.38,-0.0075,0.175,0.34500000000000003,0.56,-0.3580457406718272,-0.6941765728667146
Kapitel 7,20,0.1925,0.15606594422669035,-0.09,0.065,0.185,0.27,0.53,0.5084512016471165,0.08880591241093594
Kapitel 8,25,0.2188,0.31016554719482736,-0.28,0.02,0.21,0.45,0.82,-0.10047823522266063,-0.7791713470620438
Kapitel 9,13,0.6230769230769231,0.44344080054697677,0.1,0.26,0.44,1.01,1.34,0.49324597826718813,-1.3123018423406
Kapitel 10,40,0.4505,0.19191277398993745,0.09,0.38,0.46499999999999997,0.53,0.97,0.3127687339162043,0.7206057357489897
Kapitel 11,20,0.5635,0.19690433156605186,0.19,0.4325,0.545,0.6475,1.09,0.845630537521728,1.7218225459294283
Kapitel 13,26,0.4492307692307692,0.25924387093118445,-0.26,0.275,0.53,0.6074999999999999,0.92,-0.8930365676284221,0.9340942558090561
Kapitel 14,3,0.3833333333333333,0.16165807537309523,0.21,0.31,0.41,0.47,0.53,-0.722108645721135,
Kapitel 15,8,0.3075,0.2221807500983956,0.1,0.1475,0.265,0.35,0.74,1.246102905016269,0.9123015634149221

1 n mean std min q1 median q3 max skew kurtosis
2 Gesamt 169 226 0.28763313609467456 0.33261061946902654 0.3640026593835829 0.34543859228852997 -0.65 0.08 0.1325 0.29 0.38 0.5 0.5375000000000001 1.34 0.02292521321528149 -0.17912807419388987 0.5904279244649904 0.649417345149399
3 Kapitel 5 51 0.20823529411764705 0.46120583639998713 -0.65 -0.04 0.19 0.545 1.28 0.005859999358959804 -0.5443848598925407
4 Kapitel 6 20 0.1275 0.27132957236929645 -0.38 -0.0075 0.175 0.34500000000000003 0.56 -0.3580457406718272 -0.6941765728667146
5 Kapitel 7 20 0.1925 0.15606594422669035 -0.09 0.065 0.185 0.27 0.53 0.5084512016471165 0.08880591241093594
6 Kapitel 8 25 0.2188 0.31016554719482736 -0.28 0.02 0.21 0.45 0.82 -0.10047823522266063 -0.7791713470620438
7 Kapitel 9 13 0.6230769230769231 0.44344080054697677 0.1 0.26 0.44 1.01 1.34 0.49324597826718813 -1.3123018423406
8 Kapitel 10 40 0.4505 0.19191277398993745 0.09 0.38 0.46499999999999997 0.53 0.97 0.3127687339162043 0.7206057357489897
9 Kapitel 11 20 0.5635 0.19690433156605186 0.19 0.4325 0.545 0.6475 1.09 0.845630537521728 1.7218225459294283
10 Kapitel 13 26 0.4492307692307692 0.25924387093118445 -0.26 0.275 0.53 0.6074999999999999 0.92 -0.8930365676284221 0.9340942558090561
11 Kapitel 14 3 0.3833333333333333 0.16165807537309523 0.21 0.31 0.41 0.47 0.53 -0.722108645721135
12 Kapitel 15 8 0.3075 0.2221807500983956 0.1 0.1475 0.265 0.35 0.74 1.246102905016269 0.9123015634149221