Date: 11 th November 2026 Time: 12.30-15:00 CET Type: Virtual (only for SAS AML & Fraud customers, partners or prospects) Locations: Microsoft Teams, Register: Denmark / Finland / Norway / Sweden / UK&I The join link will be sent to you before the meeting.   Agenda Will be updated …   Welcome By Frans Holm, SAS   Sceduling of AML jobs in Airflow By Jesper Ågård, Bankdata   Investigation templates By Daniel Lund, SAS   Break   Alert & Scenario migration By Henrik Thuesen, Bankdata   News in AML By Leevi Söderling, SAS   Closing By Frans Holm & Daniel Lund, SAS ... View more

Dear SAS Community,   Is there a way to fit all these 6 radar graphs I have in one panel, so that I end up with the first 3 radar graphs in one upper row, and the last 3 radar graphs in a lower row? The goal is to fit them in one figure. Please see below my code for each of the individual radar plots. I would greatly appreciate your help!!    data wide; length DM_range $10; length Variety $10; input  DM_range $ Variety $ a_texture b_texture c_texture d_texture e_texture f_texture g_texture;     if Variety='LB' then Variety='I49L';   if Variety='Junior' then Variety='I54J';   if Variety='Bumpy' then Variety='I55B';   if Variety='EG' then Variety='I12E';   datalines; <15   LB     50.00 50.00 66.67 0.00 0.00 50.00 0.00 <15   Bumpy  17.07 31.71 34.15 7.32 0.00 82.93 0.00 <15   BL516  0.00 50.00 25.00 0.00 25.00 50.00 0.00 <15   Hass   0.00 0.00 0.00 0.00 0.00 0.00 0.00 <15   Junior 0.00 0.00 0.00 0.00 0.00 0.00 0.00   <15   GEM    0.00 0.00 0.00 0.00 0.00 0.00 0.00 <15   EG     0.00 0.00 0.00 0.00 0.00 0.00 0.00 15_20 LB     31.52 23.91 33.70 19.57 9.78 51.09 2.17 15_20 Bumpy  18.09 15.96 38.30 8.51 2.13 81.91 1.06 15_20 BL516 10.71 30.36 12.50 23.21 1.79 75.00 5.36 15_20 Hass 43.15 24.32 44.52 6.16 5.48 44.18 2.05 15_20 Junior 0.00 0.00 0.00 0.00 0.00 0.00 0.00 15_20 GEM    19.05 33.33 28.57 9.52 0.00 85.71 4.76 15_20 EG     50.68 23.29 52.05 4.11 1.37 50.68 0.00 20_25 LB     24.73 19.35 40.86 12.90 5.38 48.39 5.38 20_25 Bumpy  32.35 24.71 37.06 7.06 4.71 52.35 2.35 20_25 BL516  26.42 24.53 29.25 2.83 0.94 69.81 3.77 20_25 Hass   47.31 21.51 45.52 6.81 6.81 30.11 3.58  20_25 Junior 49.30 32.39 43.66 16.90 5.63 30.99 1.41 20_25 GEM    20.00 28.00 20.00 6.67 0.00 84.00 0.00 20_25 EG     72.56 31.10 60.98 3.66 1.83 22.56 2.44 25_30 LB     48.33 13.33 51.67 23.33 3.33 26.67 3.33 25_30 Bumpy  25.00 19.44 47.22 0.00 8.33 58.33 2.78 25_30 BL516  34.15 22.93 42.93 7.32 2.44 44.88 3.41 25_30 Hass   61.84 21.71 55.92 6.14 7.68 11.40 2.63  25_30 Junior 60.56 28.33 40.56 5.56 6.11 26.11 2.78 25_30 GEM    59.38 18.75 53.13 0.00 6.25 31.25 6.25 25_30 EG     75.47 26.42 60.38 5.66 3.77 16.98 1.89 30_35 LB     65.22 15.22 63.04 8.70 6.52 14.13 1.09 30_35 Bumpy  0.00 0.00 0.00 0.00 0.00 0.00 0.00 30_35 BL516  54.96 21.37 55.73 1.53 7.63 30.53 3.05 30_35 Hass   66.84 16.84 67.89 2.63 11.05 5.79 2.11   30_35 Junior 58.87 32.62 50.35 10.64 9.93 9.93 0.71 30_35 GEM    60.95 27.62 53.33 6.67 3.81 28.57 2.86 30_35 EG     0.00 0.00 0.00 0.00 0.00 0.00 0.00 >35   LB     0.00 0.00 0.00 0.00 0.00 0.00 0.00 >35   Bumpy  0.00 0.00 0.00 0.00 0.00 0.00 0.00 >35   BL516 0.00 0.00 0.00 0.00 0.00 0.00 0.00 >35   Hass   0.00 33.33 33.33 0.00 33.33 0.00 0.00  >35   Junior 69.62 24.05 58.23 6.33 12.66 3.80 1.27 >35   GEM    51.22 26.83 60.98 9.76 9.76 24.39 0.00 >35   EG     0.00 0.00 0.00 0.00 0.00 0.00 0.00 ; run;   proc sort data=wide out=long;     by DM_range Variety ; run;   /* Transpose texture */ proc transpose data=long name=texture_label out=long1(rename=(COL1 = texture_value) );     by DM_range Variety ;     var a_texture b_texture c_texture d_texture e_texture f_texture g_texture; run;       PROC PRINT DATA=long1 ; RUN ;       /*rename levels if variable texture*/ data longnew;     set long1;     if texture_label = 'a_texture' then texture_label = 'Creamy';     else if texture_label = 'b_texture' then texture_label = 'Mushy'; else if texture_label = 'c_texture' then texture_label = 'Smooth'; else if texture_label = 'd_texture' then texture_label = 'Stringy'; else if texture_label = 'e_texture' then texture_label = 'Dry'; else if texture_label = 'f_texture' then texture_label = 'Watery'; else if texture_label = 'g_texture' then texture_label = 'None'; run;   PROC PRINT DATA=longnew ; RUN ;   goptions reset=all cback=white border htitle=12pt htext=12pt; goptions ctext=gray20; axis1 color=grayde order=(0 to 100 by 25) ;   title1 j=c h=13pt 'Comparison of texture among varieties at DM <15 (relative %)';  proc gradar data=longnew; where DM_range = '<15' and Variety in ('I49L', 'I55B');    chart texture_label / freq=texture_value ORDERACROSS=FORMATTED                  overlay=Variety NOLEGEND staraxis=(axis1 axis1 axis1 axis1 axis1 axis1 axis1) spiderweb noframe                  starcircles=(25 50)                  cstarcircles=black                  cstars=(aqua fuchsia blue)                  wstars=(2 2 2) lstar=(1 1 1)                  cframe=white                  ; run; quit;     goptions reset=all cback=white border htitle=12pt htext=12pt; goptions ctext=gray20; axis1 color=grayde order=(0 to 100 by 25) ;   title1 j=c h=13pt 'Comparison of texture among varieties at DM 15-20 (relative %)';  proc gradar data=longnew; where DM_range = '15_20';    chart texture_label / freq=texture_value ORDERACROSS=FORMATTED                  overlay=Variety NOLEGEND staraxis=(axis1 axis1 axis1 axis1 axis1 axis1 axis1) spiderweb noframe                  starcircles=(25 50)                  cstarcircles=black                  cstars=(aqua orange red green fuchsia blue)                  wstars=(2 2 2 2 2 2 ) lstar=(1 1 1 1 1 1)                  cframe=white                  ; run; quit;     goptions reset=all cback=white border htitle=12pt htext=12pt; goptions ctext=gray20; axis1 color=grayde order=(0 to 100 by 25) ;   title1 j=c h=13pt 'Comparison of texture among varieties at DM 20-25 (relative %)'; proc gradar data=longnew; where DM_range = '20_25';    chart texture_label / freq=texture_value ORDERACROSS=FORMATTED                  overlay=Variety NOLEGEND staraxis=(axis1 axis1 axis1 axis1 axis1 axis1 axis1) spiderweb noframe                  starcircles=(25 50)                  cstarcircles=black                  cstars=(aqua orange  red green fuchsia lime blue)                  wstars=(2 2 2 2 2 2 2) lstar=(1 1 1 1 1 1 1)                  cframe=white                  ; run; quit;     goptions reset=all cback=white border htitle=12pt htext=12pt; goptions ctext=gray20; axis1 color=grayde order=(0 to 100 by 25);   title1 j=c h=13pt 'Comparison of texture among varieties at DM 25-30 (relative %)';  proc gradar data=longnew; where DM_range = '25_30';    chart texture_label / freq=texture_value ORDERACROSS=FORMATTED                  overlay=Variety NOLEGEND staraxis=(axis1 axis1 axis1 axis1 axis1 axis1 axis1) spiderweb noframe                  starcircles=(25 50)                  cstarcircles=black                  cstars=(aqua orange  red green fuchsia lime blue)                  wstars=(2 2 2 2 2 2 2) lstar=(1 1 1 1 1 1 1)                  cframe=white                  ; run; quit;     goptions reset=all cback=white border htitle=12pt htext=12pt; goptions ctext=gray20; axis1 color=grayde order=(0 to 100 by 25) ;   title1 j=c h=13pt 'Comparison of texture among varieties at DM 30-35 (relative %)';  proc gradar data=longnew; where DM_range = '30_35';    chart texture_label / freq=texture_value ORDERACROSS=FORMATTED                  overlay=Variety NOLEGEND staraxis=(axis1 axis1 axis1 axis1 axis1 axis1 axis1) spiderweb noframe                  starcircles=(25 50)                  cstarcircles=black                  cstars=(aqua orange  red fuchsia lime)                  wstars=(2 2 2 2 2) lstar=(1 1 1 1 1)                  cframe=white                  ; run; quit;   goptions reset=all cback=white border htitle=12pt htext=12pt; goptions ctext=gray20; axis1 color=grayde order=(0 to 100 by 25) ;   title1 j=c h=13pt 'Comparison of texture among varieties at DM >35 (relative %)'; proc gradar data=longnew; where DM_range = '>35';    chart texture_label / freq=texture_value ORDERACROSS=FORMATTED                  overlay=Variety NOLEGEND staraxis=(axis1 axis1 axis1 axis1 axis1 axis1 axis1) spiderweb noframe                  starcircles=(25 50)                  cstarcircles=black                  cstars=(orange  red lime )                  wstars=(2 2 2) lstar=(1 1 1)                  cframe=white                  ; run; quit;       ... View more

Team Name Critical Thinking Crew Track Energy & Telecom Use Case Analyze why unused smartphones remain dormant in households across markets, identify where and why their circulation is interrupted, and evaluate which approaches—continued use, resale/reuse, collection, recycling, or other forms of utilization—may be appropriate in different contexts. Technology SAS Viya for data integration, analytics, and visualization Region Tokyo, Japan (AP Region) Team lead ITOCHU Techno-Solutions Corporation: Takeshi Nakada Team members ITOCHU Techno-Solutions Corporation: Michito Taga Keisuke Fukunaga Social media handles - Is your team interested in participating in an interview? N Optional: Expand on your technology expertise Our team plans to use SAS Viya to integrate multiple public datasets, explore cross-market differences, identify key factors and bottlenecks, and visualize analytical findings. We may also explore AI-assisted approaches to explain analytical results and support the development of market-specific action options.   ... View more

For people working with both SAS and Python, how do you usually divide tasks between the two? For example, would you use SAS for statistical analysis and data preparation and Python for visualization or machine learning, or keep most of the workflow within SAS? For someone learning data science, which combination of SAS, SQL, Python and statistics would you recommend focusing on first? ... View more

Before you dive in: a quick video tour of SAS AI Navigator. ... View more