SlideShare a Scribd company logo
Fire data isn’t ugly
Presenting fire data effectively series
Episode: 3D is for the movies
July 2015
A makeover of fire department
data to transform it from
unclear and underperforming
to powerfully informative.
Microsoft Excel is not just a powerful tool to keep data
and spreadsheets. It’s a friend for creating quick charts.
However, you need to maintain integrity in the information
you present using those charts.
Exhibit: 3d pie
It’s exploding everywhere
Trauma, 8%
Other, 9%
Abdominal
Pain, 10%
Cardiac, 15%
General
Weakness,
17%
Respiratory,
20%
Neurological,
21%
Initial Patient Complaint
Pie may be bad
but There is nothing you can
learn from an exploded pie
Trauma,
8%
Other, 9%
Abdominal
Pain, 10%
Cardiac,
15%
General
Weakness,
17%
Respiratory
, 20%
Neurological
, 21%
Initial Patient Complaint
The problem with 3D is the strain it puts on your eye’s
ability to perceive not only the area but angle of each pie
slice. Exploding the pie chart just makes it that much
worse.
These are the same numbers presented again “flat”.
Trauma, 8%
Other, 9%
Abdominal
Pain, 10%
Cardiac, 15%
General
Weakness,
17%
Respiratory,
20%
Neurological,
21%
Initial Patient Complaint
The eye will treat the shadows as part of the category,
overemphasizing the size of them.
So if you want to make something seem bigger or more
important, sure, use 3D but you are responsible for the
integrity of the information you present.
The center of the pie chart also moves up and shrinks
any categories at the back.
See how much longer the red arrow is? Your eye can’t
compete with that kind of damaged presentation.
Say it with me now:
Just because 3d explosions are
an available choice doesn’t mean
you should ever use them
Even without 3D a pie chart is not the most appropriate
choice for the data we’re presenting. A bar chart would
be perfect.
See Episode: Pie is rarely a good idea to view the whole
transformation.
8%
9%
10%
15%
17%
20%
21%
0% 5% 10% 15% 20% 25%
Trauma
Other
Abdominal Pain
Cardiac
General Weakness
Respiratory
Neurological
Initial Patient Complaint
Other, 9%
Abdominal
Pain, 10%
Cardiac,
15%
General
Weakness,
17%
Respiratory,
20%
Neurological
, 21%
Initial Patient Complaint
What happens if we use 3D on a bar chart? Nothing
good.
Our bars look completely different in 3D.
8%
9%
10%
15%
17%
20%
21%
0% 5% 10% 15% 20% 25%
Trauma
Other
Abdominal Pain
Cardiac
General Weakness
Respiratory
Neurological
Initial Patient Complaint
0% 10% 20% 30%
Trauma
Other
Abdominal Pain
Cardiac
General Weakness
Respiratory
Neurological
8%
9%
10%
15%
17%
20%
21%
Initial Patient Complaint
Technically, the point ends at the bottom corner but
that’s not what our eyes see. Our eyes can’t really tell
where the bars end. Even Respiratory at 20% doesn’t
line up with the gridline.
0% 5% 10% 15% 20% 25%
Trauma
Other
Abdominal Pain
Cardiac
General Weakness
Respiratory
Neurological
8%
9%
10%
15%
17%
20%
21%
Initial Patient Complaint
And those shadows on the end? You guessed it. They
interfere with your eye’s ability to judge length.
Not to mention how bad the labels look without lining
up to the bars.
0% 5% 10% 15% 20% 25%
Trauma
Other
Abdominal Pain
Cardiac
General Weakness
Respiratory
Neurological
8%
9%
10%
15%
17%
20%
21%
Initial Patient Complaint
The 3D effect itself changes the way your eye can
perceive each bar.
The bars aren’t flat, distorting your eye’s ability to judge
the length even without the shadows.
0% 5% 10% 15% 20% 25%
Trauma
Other
Abdominal Pain
Cardiac
General Weakness
Respiratory
Neurological
8%
9%
10%
15%
17%
20%
21%
Initial Patient Complaint
While we’re on the topic of distortion, changing the bars
to cones is even worse. Now your eye is stuck at the
base of all the cones with a teensy little end.
The purpose of a chart is to help visualize the data.
Make sure your choices reflect that purpose.
0% 5% 10% 15% 20% 25%
Trauma
Other
Abdominal Pain
Cardiac
General Weakness
Respiratory
Neurological
Initial Patient Complaint
A column chart fairs no better in 3D.
You still have the shadows and tilted columns but now
you have some columns with a huge amount of shadow
and another with hardly any shadow.
0%
5%
10%
15%
20%
25%
8% 9% 10%
15% 17% 20% 21%
Initial Patient Complaint
Cylinders suffer the same problems.
Initial Patient Complaint
0%
10%
20%
30%
8% 9% 10% 15% 17% 20% 21%
Initial Patient Complaint
As do cones.
Literally all I’ve done is change the chart type to one of
the 3D “fun” varieties.
0%
5%
10%
15%
20%
25%
8% 9% 10%
15% 17% 20% 21%
Initial Patient Complaint
Charts are not for fun. They are for informing.
Simple, clean designs that make it easy on our eyes are
perfect. They’re all you need, really.
8%
9%
10%
15%
17%
20%
21%
0% 5% 10% 15% 20% 25%
Trauma
Other
Abdominal Pain
Cardiac
General Weakness
Respiratory
Neurological
We need to add training for neurological complaints to the calendar,
as we have mostly focused training on trauma and cardiac incidents.
Avoid 3d at all costs
Unless your data has something
to hide using 3d is always a bad
choice
Hello! I’m Sara Wood and I love converting fire service members into
NFIRS operatives. I’m the State NFIRS program manager for Kansas and
enjoy providing classes to help bring fire departments into the era of data
driven decisions. If you need help creating a presentation or analyzing
your data, I’d love to hear from you!

More Related Content

Viewers also liked

Top 10 NFIRS Reporting Myths
Top 10 NFIRS Reporting MythsTop 10 NFIRS Reporting Myths
Top 10 NFIRS Reporting Myths
Sara Wood
 
Soluciones en RR.HH . Selección de personal.
Soluciones en RR.HH . Selección de personal.Soluciones en RR.HH . Selección de personal.
Soluciones en RR.HH . Selección de personal.
Miguel Pereira Lopez
 
Quick Review: over formatted bar chart
Quick Review: over formatted bar chartQuick Review: over formatted bar chart
Quick Review: over formatted bar chart
Sara Wood
 
Start Your NFIRS Report Out Right
Start Your NFIRS Report Out RightStart Your NFIRS Report Out Right
Start Your NFIRS Report Out Right
Sara Wood
 
Workshop - Cordova e Ionic
Workshop - Cordova e IonicWorkshop - Cordova e Ionic
Workshop - Cordova e Ionic
Felipe Lastowizka
 
Hypothyroidim
HypothyroidimHypothyroidim
Hypothyroidim
Vmansoor
 
Art (Pre-Spanish)
Art (Pre-Spanish)Art (Pre-Spanish)
Art (Pre-Spanish)
Alfred Arcaya
 
Summer training report...
Summer training report...Summer training report...
Summer training report...Hema Jain
 

Viewers also liked (8)

Top 10 NFIRS Reporting Myths
Top 10 NFIRS Reporting MythsTop 10 NFIRS Reporting Myths
Top 10 NFIRS Reporting Myths
 
Soluciones en RR.HH . Selección de personal.
Soluciones en RR.HH . Selección de personal.Soluciones en RR.HH . Selección de personal.
Soluciones en RR.HH . Selección de personal.
 
Quick Review: over formatted bar chart
Quick Review: over formatted bar chartQuick Review: over formatted bar chart
Quick Review: over formatted bar chart
 
Start Your NFIRS Report Out Right
Start Your NFIRS Report Out RightStart Your NFIRS Report Out Right
Start Your NFIRS Report Out Right
 
Workshop - Cordova e Ionic
Workshop - Cordova e IonicWorkshop - Cordova e Ionic
Workshop - Cordova e Ionic
 
Hypothyroidim
HypothyroidimHypothyroidim
Hypothyroidim
 
Art (Pre-Spanish)
Art (Pre-Spanish)Art (Pre-Spanish)
Art (Pre-Spanish)
 
Summer training report...
Summer training report...Summer training report...
Summer training report...
 

Recently uploaded

一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
ahzuo
 
Q1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year ReboundQ1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year Rebound
Oppotus
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
rwarrenll
 
一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单
ewymefz
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
v3tuleee
 
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
2023240532
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
ahzuo
 
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
Ch03-Managing the Object-Oriented Information Systems Project a.pdfCh03-Managing the Object-Oriented Information Systems Project a.pdf
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
haila53
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
axoqas
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
javier ramirez
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
dwreak4tg
 
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Timothy Spann
 
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptxData_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
AnirbanRoy608946
 
Adjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTESAdjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTES
Subhajit Sahu
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
mbawufebxi
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
u86oixdj
 
Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)
TravisMalana
 
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Subhajit Sahu
 
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP
 

Recently uploaded (20)

一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
 
Q1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year ReboundQ1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year Rebound
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
 
一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
 
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
 
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
Ch03-Managing the Object-Oriented Information Systems Project a.pdfCh03-Managing the Object-Oriented Information Systems Project a.pdf
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
 
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
 
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptxData_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
 
Adjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTESAdjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTES
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
 
Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)
 
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
 
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
 

Episode: 3D is for the Movies

  • 1. Fire data isn’t ugly Presenting fire data effectively series Episode: 3D is for the movies July 2015
  • 2. A makeover of fire department data to transform it from unclear and underperforming to powerfully informative.
  • 3. Microsoft Excel is not just a powerful tool to keep data and spreadsheets. It’s a friend for creating quick charts. However, you need to maintain integrity in the information you present using those charts.
  • 4. Exhibit: 3d pie It’s exploding everywhere
  • 5. Trauma, 8% Other, 9% Abdominal Pain, 10% Cardiac, 15% General Weakness, 17% Respiratory, 20% Neurological, 21% Initial Patient Complaint
  • 6. Pie may be bad but There is nothing you can learn from an exploded pie
  • 7. Trauma, 8% Other, 9% Abdominal Pain, 10% Cardiac, 15% General Weakness, 17% Respiratory , 20% Neurological , 21% Initial Patient Complaint The problem with 3D is the strain it puts on your eye’s ability to perceive not only the area but angle of each pie slice. Exploding the pie chart just makes it that much worse. These are the same numbers presented again “flat”. Trauma, 8% Other, 9% Abdominal Pain, 10% Cardiac, 15% General Weakness, 17% Respiratory, 20% Neurological, 21% Initial Patient Complaint
  • 8. The eye will treat the shadows as part of the category, overemphasizing the size of them. So if you want to make something seem bigger or more important, sure, use 3D but you are responsible for the integrity of the information you present.
  • 9. The center of the pie chart also moves up and shrinks any categories at the back. See how much longer the red arrow is? Your eye can’t compete with that kind of damaged presentation.
  • 10. Say it with me now: Just because 3d explosions are an available choice doesn’t mean you should ever use them
  • 11. Even without 3D a pie chart is not the most appropriate choice for the data we’re presenting. A bar chart would be perfect. See Episode: Pie is rarely a good idea to view the whole transformation. 8% 9% 10% 15% 17% 20% 21% 0% 5% 10% 15% 20% 25% Trauma Other Abdominal Pain Cardiac General Weakness Respiratory Neurological Initial Patient Complaint Other, 9% Abdominal Pain, 10% Cardiac, 15% General Weakness, 17% Respiratory, 20% Neurological , 21% Initial Patient Complaint
  • 12. What happens if we use 3D on a bar chart? Nothing good. Our bars look completely different in 3D. 8% 9% 10% 15% 17% 20% 21% 0% 5% 10% 15% 20% 25% Trauma Other Abdominal Pain Cardiac General Weakness Respiratory Neurological Initial Patient Complaint 0% 10% 20% 30% Trauma Other Abdominal Pain Cardiac General Weakness Respiratory Neurological 8% 9% 10% 15% 17% 20% 21% Initial Patient Complaint
  • 13. Technically, the point ends at the bottom corner but that’s not what our eyes see. Our eyes can’t really tell where the bars end. Even Respiratory at 20% doesn’t line up with the gridline. 0% 5% 10% 15% 20% 25% Trauma Other Abdominal Pain Cardiac General Weakness Respiratory Neurological 8% 9% 10% 15% 17% 20% 21% Initial Patient Complaint
  • 14. And those shadows on the end? You guessed it. They interfere with your eye’s ability to judge length. Not to mention how bad the labels look without lining up to the bars. 0% 5% 10% 15% 20% 25% Trauma Other Abdominal Pain Cardiac General Weakness Respiratory Neurological 8% 9% 10% 15% 17% 20% 21% Initial Patient Complaint
  • 15. The 3D effect itself changes the way your eye can perceive each bar. The bars aren’t flat, distorting your eye’s ability to judge the length even without the shadows. 0% 5% 10% 15% 20% 25% Trauma Other Abdominal Pain Cardiac General Weakness Respiratory Neurological 8% 9% 10% 15% 17% 20% 21% Initial Patient Complaint
  • 16. While we’re on the topic of distortion, changing the bars to cones is even worse. Now your eye is stuck at the base of all the cones with a teensy little end. The purpose of a chart is to help visualize the data. Make sure your choices reflect that purpose. 0% 5% 10% 15% 20% 25% Trauma Other Abdominal Pain Cardiac General Weakness Respiratory Neurological Initial Patient Complaint
  • 17. A column chart fairs no better in 3D. You still have the shadows and tilted columns but now you have some columns with a huge amount of shadow and another with hardly any shadow. 0% 5% 10% 15% 20% 25% 8% 9% 10% 15% 17% 20% 21% Initial Patient Complaint
  • 18. Cylinders suffer the same problems. Initial Patient Complaint 0% 10% 20% 30% 8% 9% 10% 15% 17% 20% 21% Initial Patient Complaint
  • 19. As do cones. Literally all I’ve done is change the chart type to one of the 3D “fun” varieties. 0% 5% 10% 15% 20% 25% 8% 9% 10% 15% 17% 20% 21% Initial Patient Complaint
  • 20. Charts are not for fun. They are for informing. Simple, clean designs that make it easy on our eyes are perfect. They’re all you need, really. 8% 9% 10% 15% 17% 20% 21% 0% 5% 10% 15% 20% 25% Trauma Other Abdominal Pain Cardiac General Weakness Respiratory Neurological We need to add training for neurological complaints to the calendar, as we have mostly focused training on trauma and cardiac incidents.
  • 21. Avoid 3d at all costs Unless your data has something to hide using 3d is always a bad choice
  • 22. Hello! I’m Sara Wood and I love converting fire service members into NFIRS operatives. I’m the State NFIRS program manager for Kansas and enjoy providing classes to help bring fire departments into the era of data driven decisions. If you need help creating a presentation or analyzing your data, I’d love to hear from you!