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1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 17
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Creating a Streamgraph in Microsoft Excel 2016
By Shalin HaishyJew Kansas State University
Streamgraphs were first popularized in February 23 2008 with an image created by Lee Byron in The New York Times in avisualization titled ldquoThe Ebb and Flow of Movies Box Office Receipts 1986 ndash 2008rdquo In Wikipedia these 2D visualizationsare described as ldquoa type of stacked area graph which is displaced around a central axis resulting in a flowing organic shaperdquo(ldquoStreamgraphrdquo Mar 24 2016)
Figure 1 A Streamgraph Created with Faux Data Using the Microsoft Excel Streamgraph Addshyin
Basically a streamgraph contains data over time with time represented on the xshyaxis and with related variables representedon the yshyaxis Streamgraphs are read at the macro level as changes over time based on a particular target phenomenon(represented by the variables) they are read at the micro level in terms of individual variable changes over time andinteraction effects between the individual variables over time The directionality may change for various streamgraphs(with streaming in different directions) The sizes and colors and shapes of the respective streams may contain informationas well as the data labels
Most streamgraphs are nonshyinteractive and nonshydynamic (although some webshybased ones may be interactive and dynamic)
A Free Microsoft Excel Addshyin
In 2015 some developers at Microsoft Research created a free Microsoft Excel addshyin (to both 2013 and 2016 versions ofthe software) that enables the easy creation of streamgraphs in Excel The plugshyin is accessible through the Microsoft OfficeStore
This article introduces the addshyin and provides some examples created both with synthetic data and realshyworld openshysourcedata Figure 1 (above) shows a streamgraph created with madeshyup data the toolbar panel of the streamgraph is visible inthis image
Main menu
View Recent
A Streamgraph Created with Faux Data Using the Microsoft Excel Streamgraph Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 27
So riffing on the use of artificial data it is also possible to use negative numbers to create dramatic dips as in Figure 2 Inthis latter visualization the toolbar panel has been minimized
Figure 2 Faux Data (with Negative Values)
Downloading and Installing the Steamgraph Addshyin
This sequence assumes that the correct version of Excel (2013 2016 or the online cloudshybased one) is already installed Goto the this site
Click the ldquoAddrdquo button If authentication is needed sign in with the proper email address or phone number Identifywhether you have a workshybased account or a Microsoft account Download the addshyin Doubleshyclick on it to install it toExcel
Open Excel In the Ribbon go to the Insert tab In the Addshyins dropshydown select Streamgraph (Figure 3) [Notice that theMicrosoft Store button is just above the Addshyins dropdown menu]
Faux Data (with Negative Values) Annotations
Details
Activating the Steamgraph Add-in in Excel 2016 Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 37
Figure 3 Activating the Steamgraph Addshyin in Excel 2016
The Streamgraph window will open There are only a few choices to select
The Series data should include the column headers and cells of all the data The Time labels should include the left column of the time span and the respective time spans The Title is the label of the streamgraph The Color option allows access to six color palettes based on the following core colors light blue orange grayyellow dark blue and green The colors offer shading gradations around the core colors (not as an intensityindicator unless one puts in special data structuring)
Usually it takes a little experimentation to see how these might work In the following visualization the ldquoSeriesrdquo data has agray background and the ldquoTimerdquo labels have a light orange background (Figure 4) The columns should be placed in anadjacent way to each other Having any blank columns in between confuses the addshyin It is possible though to have a blankdata column at either end in order to introduce white space in the streamgraph flow
Figure 4 ldquoSeriesrdquo and ldquoTimerdquo Data Highlighted in the Data Table
The basic data structure is important to keep in mind The years are listed in chronological order down the far left column The variables are listed in the column headers The numerical data (integers or percentages) are listed in the cells
Streamgraphs with Realshyworld Data
So what does this look like with realshyworld data As usual it helps to use accurate data from trustworthy sources If oneuses onersquos own data one has to document thoroughly to explain how the data was acquired or created how it wasprocessed and how it is presented And as with proper treatment of data visualizations it is a good idea to have text thatleads up to and away from data visualizations to explain the contents of the visualization
The US government provides access to a lot of free data sets via its portal Datagov (httpswwwdatagov) (Figure 5)
ldquoSeriesrdquo and ldquoTimerdquo Data Highlighted in the Data Table Annotations
Details
Datagov ldquoThe home of the US Governmentrsquos open datardquo Annotations
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 47
Figure 5 Datagov ldquoThe home of the US Governmentrsquos open data
Two datasets are used in this article More about the datasaet and resulting streamgraphs follow
Crime in the City of Angels 2012 shy 2015
For this article a raw dataset of City of Los Angeles crime data was downloaded This set consisting of 935259 records ismade available by datalacityorg at httpcatalogdatagovdatasetcrimesshy2012shy2015
The short text description that accompanied the dataset reads in part ldquoThis is the combined raw crime data for 2012through 2015 Currently crime data is refreshed on an annual basis However we are exploring automated methods andlooking to increase this frequencyrdquo The email address of the datasetrsquos ldquomaintainerrdquo is chelseaursanerlacityorg
With a dataset this large it helps to process and use parts of the data for a streamgraph To these ends the ldquoArsquosrdquo and ldquoBrsquosrdquoof the crime set were processed (with misspellings included such as ldquobeastialityrdquo instead of ldquobestiality) The processingincluded the identifying out of the respective formal crimes listed in a subset filtering by year and using those counts topopulate a new workbook The resulting streamgraphs may be seen in Figures 6 and 7
Figure 6 Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015
Details
Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015 Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 57
Interestingly the addshyin adds in 5 years or halfshyyears which enables a kind of smoothing between years
Figure 7 The Backshyend of the Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015
Another subset of the crime dataset involves a focus on ldquopickpocketing purse snatching and shopliftingrdquo which may beseen in Figure 8
Figure 8 Pickpocketing Purse Snatching and Shoplifting in the City of Angels 2012 ndash 2015
Smoking Habits in Kansas 1995 ndash 2010
Another dataset used was from the US Centers for Disease Control and Prevention The Behavioral Risk FactorSurveillance System (BRFSS) shares its trend data through the Datagov portal The set used here is the following BRFSSPrevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
The Back-end of the Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015 Annotations
Details
Pickpocketing Purse Snatching and Shoplifting in the City of Angels Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 67
The percentages of tobacco use are weighted to population characteristics to ensure that the statistics are comparableacross the states The data may be exported as csv csv for Excel JSON RDF RSS and XML data (Figure 9)
Figure 9 BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
In this case the streamgraph is created from the Kansas data from 1995 ndash 2010 The categories are Never smoked Formersmoker Smoke some days and Smoke every day (Figure 10)
Figure 10 Tobacco Use in Kansas from 1995 ndash 2010 (CDC)
When the data accounts for 100 of what is possible there is no white space Of course it is possible to run only say partof the dataset like ldquosmoke everydayrdquo and ldquosmoke some daysrdquo to have a twoshyvariable set with white space in thestreamgraph It is important to pare down data in order to have a coherent streamgraph An overloaded streamgraph canlose informational coherence quickly (and result in jagged lines)
BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010 Annotations
Details
Tobacco Use in Kansas from 1995 ndash 2010 (CDC) Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 77
Version 3 of this page updated 07 October 2016
C2C Digital Magazine (Spring Summer 2017) by Colleague 2 Colleague Help reading this book
Powered by Scalar
Terms of Service | Privacy Policy | Scalar Feedback
New Edit Hide
Comment on this page
Previous page on path Cover page 2 of 4 Next page on path
Sparser data with some zeroes will result in more dramatic views such as with crossshyover of some of the lines Usingnegative cell values can also result in dramatic and swooping lines Sometimes running fewer years can also result in someeyeshycatching visuals
About the Author Shalin HaishyJew works as an instructional designer at Kansas State University She may be reached at shalinkshystateedu
Related (No related content)
streamgraph Datagov
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 27
So riffing on the use of artificial data it is also possible to use negative numbers to create dramatic dips as in Figure 2 Inthis latter visualization the toolbar panel has been minimized
Figure 2 Faux Data (with Negative Values)
Downloading and Installing the Steamgraph Addshyin
This sequence assumes that the correct version of Excel (2013 2016 or the online cloudshybased one) is already installed Goto the this site
Click the ldquoAddrdquo button If authentication is needed sign in with the proper email address or phone number Identifywhether you have a workshybased account or a Microsoft account Download the addshyin Doubleshyclick on it to install it toExcel
Open Excel In the Ribbon go to the Insert tab In the Addshyins dropshydown select Streamgraph (Figure 3) [Notice that theMicrosoft Store button is just above the Addshyins dropdown menu]
Faux Data (with Negative Values) Annotations
Details
Activating the Steamgraph Add-in in Excel 2016 Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 37
Figure 3 Activating the Steamgraph Addshyin in Excel 2016
The Streamgraph window will open There are only a few choices to select
The Series data should include the column headers and cells of all the data The Time labels should include the left column of the time span and the respective time spans The Title is the label of the streamgraph The Color option allows access to six color palettes based on the following core colors light blue orange grayyellow dark blue and green The colors offer shading gradations around the core colors (not as an intensityindicator unless one puts in special data structuring)
Usually it takes a little experimentation to see how these might work In the following visualization the ldquoSeriesrdquo data has agray background and the ldquoTimerdquo labels have a light orange background (Figure 4) The columns should be placed in anadjacent way to each other Having any blank columns in between confuses the addshyin It is possible though to have a blankdata column at either end in order to introduce white space in the streamgraph flow
Figure 4 ldquoSeriesrdquo and ldquoTimerdquo Data Highlighted in the Data Table
The basic data structure is important to keep in mind The years are listed in chronological order down the far left column The variables are listed in the column headers The numerical data (integers or percentages) are listed in the cells
Streamgraphs with Realshyworld Data
So what does this look like with realshyworld data As usual it helps to use accurate data from trustworthy sources If oneuses onersquos own data one has to document thoroughly to explain how the data was acquired or created how it wasprocessed and how it is presented And as with proper treatment of data visualizations it is a good idea to have text thatleads up to and away from data visualizations to explain the contents of the visualization
The US government provides access to a lot of free data sets via its portal Datagov (httpswwwdatagov) (Figure 5)
ldquoSeriesrdquo and ldquoTimerdquo Data Highlighted in the Data Table Annotations
Details
Datagov ldquoThe home of the US Governmentrsquos open datardquo Annotations
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 47
Figure 5 Datagov ldquoThe home of the US Governmentrsquos open data
Two datasets are used in this article More about the datasaet and resulting streamgraphs follow
Crime in the City of Angels 2012 shy 2015
For this article a raw dataset of City of Los Angeles crime data was downloaded This set consisting of 935259 records ismade available by datalacityorg at httpcatalogdatagovdatasetcrimesshy2012shy2015
The short text description that accompanied the dataset reads in part ldquoThis is the combined raw crime data for 2012through 2015 Currently crime data is refreshed on an annual basis However we are exploring automated methods andlooking to increase this frequencyrdquo The email address of the datasetrsquos ldquomaintainerrdquo is chelseaursanerlacityorg
With a dataset this large it helps to process and use parts of the data for a streamgraph To these ends the ldquoArsquosrdquo and ldquoBrsquosrdquoof the crime set were processed (with misspellings included such as ldquobeastialityrdquo instead of ldquobestiality) The processingincluded the identifying out of the respective formal crimes listed in a subset filtering by year and using those counts topopulate a new workbook The resulting streamgraphs may be seen in Figures 6 and 7
Figure 6 Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015
Details
Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015 Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 57
Interestingly the addshyin adds in 5 years or halfshyyears which enables a kind of smoothing between years
Figure 7 The Backshyend of the Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015
Another subset of the crime dataset involves a focus on ldquopickpocketing purse snatching and shopliftingrdquo which may beseen in Figure 8
Figure 8 Pickpocketing Purse Snatching and Shoplifting in the City of Angels 2012 ndash 2015
Smoking Habits in Kansas 1995 ndash 2010
Another dataset used was from the US Centers for Disease Control and Prevention The Behavioral Risk FactorSurveillance System (BRFSS) shares its trend data through the Datagov portal The set used here is the following BRFSSPrevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
The Back-end of the Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015 Annotations
Details
Pickpocketing Purse Snatching and Shoplifting in the City of Angels Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 67
The percentages of tobacco use are weighted to population characteristics to ensure that the statistics are comparableacross the states The data may be exported as csv csv for Excel JSON RDF RSS and XML data (Figure 9)
Figure 9 BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
In this case the streamgraph is created from the Kansas data from 1995 ndash 2010 The categories are Never smoked Formersmoker Smoke some days and Smoke every day (Figure 10)
Figure 10 Tobacco Use in Kansas from 1995 ndash 2010 (CDC)
When the data accounts for 100 of what is possible there is no white space Of course it is possible to run only say partof the dataset like ldquosmoke everydayrdquo and ldquosmoke some daysrdquo to have a twoshyvariable set with white space in thestreamgraph It is important to pare down data in order to have a coherent streamgraph An overloaded streamgraph canlose informational coherence quickly (and result in jagged lines)
BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010 Annotations
Details
Tobacco Use in Kansas from 1995 ndash 2010 (CDC) Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 77
Version 3 of this page updated 07 October 2016
C2C Digital Magazine (Spring Summer 2017) by Colleague 2 Colleague Help reading this book
Powered by Scalar
Terms of Service | Privacy Policy | Scalar Feedback
New Edit Hide
Comment on this page
Previous page on path Cover page 2 of 4 Next page on path
Sparser data with some zeroes will result in more dramatic views such as with crossshyover of some of the lines Usingnegative cell values can also result in dramatic and swooping lines Sometimes running fewer years can also result in someeyeshycatching visuals
About the Author Shalin HaishyJew works as an instructional designer at Kansas State University She may be reached at shalinkshystateedu
Related (No related content)
streamgraph Datagov
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 37
Figure 3 Activating the Steamgraph Addshyin in Excel 2016
The Streamgraph window will open There are only a few choices to select
The Series data should include the column headers and cells of all the data The Time labels should include the left column of the time span and the respective time spans The Title is the label of the streamgraph The Color option allows access to six color palettes based on the following core colors light blue orange grayyellow dark blue and green The colors offer shading gradations around the core colors (not as an intensityindicator unless one puts in special data structuring)
Usually it takes a little experimentation to see how these might work In the following visualization the ldquoSeriesrdquo data has agray background and the ldquoTimerdquo labels have a light orange background (Figure 4) The columns should be placed in anadjacent way to each other Having any blank columns in between confuses the addshyin It is possible though to have a blankdata column at either end in order to introduce white space in the streamgraph flow
Figure 4 ldquoSeriesrdquo and ldquoTimerdquo Data Highlighted in the Data Table
The basic data structure is important to keep in mind The years are listed in chronological order down the far left column The variables are listed in the column headers The numerical data (integers or percentages) are listed in the cells
Streamgraphs with Realshyworld Data
So what does this look like with realshyworld data As usual it helps to use accurate data from trustworthy sources If oneuses onersquos own data one has to document thoroughly to explain how the data was acquired or created how it wasprocessed and how it is presented And as with proper treatment of data visualizations it is a good idea to have text thatleads up to and away from data visualizations to explain the contents of the visualization
The US government provides access to a lot of free data sets via its portal Datagov (httpswwwdatagov) (Figure 5)
ldquoSeriesrdquo and ldquoTimerdquo Data Highlighted in the Data Table Annotations
Details
Datagov ldquoThe home of the US Governmentrsquos open datardquo Annotations
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 47
Figure 5 Datagov ldquoThe home of the US Governmentrsquos open data
Two datasets are used in this article More about the datasaet and resulting streamgraphs follow
Crime in the City of Angels 2012 shy 2015
For this article a raw dataset of City of Los Angeles crime data was downloaded This set consisting of 935259 records ismade available by datalacityorg at httpcatalogdatagovdatasetcrimesshy2012shy2015
The short text description that accompanied the dataset reads in part ldquoThis is the combined raw crime data for 2012through 2015 Currently crime data is refreshed on an annual basis However we are exploring automated methods andlooking to increase this frequencyrdquo The email address of the datasetrsquos ldquomaintainerrdquo is chelseaursanerlacityorg
With a dataset this large it helps to process and use parts of the data for a streamgraph To these ends the ldquoArsquosrdquo and ldquoBrsquosrdquoof the crime set were processed (with misspellings included such as ldquobeastialityrdquo instead of ldquobestiality) The processingincluded the identifying out of the respective formal crimes listed in a subset filtering by year and using those counts topopulate a new workbook The resulting streamgraphs may be seen in Figures 6 and 7
Figure 6 Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015
Details
Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015 Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 57
Interestingly the addshyin adds in 5 years or halfshyyears which enables a kind of smoothing between years
Figure 7 The Backshyend of the Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015
Another subset of the crime dataset involves a focus on ldquopickpocketing purse snatching and shopliftingrdquo which may beseen in Figure 8
Figure 8 Pickpocketing Purse Snatching and Shoplifting in the City of Angels 2012 ndash 2015
Smoking Habits in Kansas 1995 ndash 2010
Another dataset used was from the US Centers for Disease Control and Prevention The Behavioral Risk FactorSurveillance System (BRFSS) shares its trend data through the Datagov portal The set used here is the following BRFSSPrevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
The Back-end of the Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015 Annotations
Details
Pickpocketing Purse Snatching and Shoplifting in the City of Angels Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 67
The percentages of tobacco use are weighted to population characteristics to ensure that the statistics are comparableacross the states The data may be exported as csv csv for Excel JSON RDF RSS and XML data (Figure 9)
Figure 9 BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
In this case the streamgraph is created from the Kansas data from 1995 ndash 2010 The categories are Never smoked Formersmoker Smoke some days and Smoke every day (Figure 10)
Figure 10 Tobacco Use in Kansas from 1995 ndash 2010 (CDC)
When the data accounts for 100 of what is possible there is no white space Of course it is possible to run only say partof the dataset like ldquosmoke everydayrdquo and ldquosmoke some daysrdquo to have a twoshyvariable set with white space in thestreamgraph It is important to pare down data in order to have a coherent streamgraph An overloaded streamgraph canlose informational coherence quickly (and result in jagged lines)
BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010 Annotations
Details
Tobacco Use in Kansas from 1995 ndash 2010 (CDC) Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 77
Version 3 of this page updated 07 October 2016
C2C Digital Magazine (Spring Summer 2017) by Colleague 2 Colleague Help reading this book
Powered by Scalar
Terms of Service | Privacy Policy | Scalar Feedback
New Edit Hide
Comment on this page
Previous page on path Cover page 2 of 4 Next page on path
Sparser data with some zeroes will result in more dramatic views such as with crossshyover of some of the lines Usingnegative cell values can also result in dramatic and swooping lines Sometimes running fewer years can also result in someeyeshycatching visuals
About the Author Shalin HaishyJew works as an instructional designer at Kansas State University She may be reached at shalinkshystateedu
Related (No related content)
streamgraph Datagov
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 47
Figure 5 Datagov ldquoThe home of the US Governmentrsquos open data
Two datasets are used in this article More about the datasaet and resulting streamgraphs follow
Crime in the City of Angels 2012 shy 2015
For this article a raw dataset of City of Los Angeles crime data was downloaded This set consisting of 935259 records ismade available by datalacityorg at httpcatalogdatagovdatasetcrimesshy2012shy2015
The short text description that accompanied the dataset reads in part ldquoThis is the combined raw crime data for 2012through 2015 Currently crime data is refreshed on an annual basis However we are exploring automated methods andlooking to increase this frequencyrdquo The email address of the datasetrsquos ldquomaintainerrdquo is chelseaursanerlacityorg
With a dataset this large it helps to process and use parts of the data for a streamgraph To these ends the ldquoArsquosrdquo and ldquoBrsquosrdquoof the crime set were processed (with misspellings included such as ldquobeastialityrdquo instead of ldquobestiality) The processingincluded the identifying out of the respective formal crimes listed in a subset filtering by year and using those counts topopulate a new workbook The resulting streamgraphs may be seen in Figures 6 and 7
Figure 6 Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015
Details
Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015 Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 57
Interestingly the addshyin adds in 5 years or halfshyyears which enables a kind of smoothing between years
Figure 7 The Backshyend of the Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015
Another subset of the crime dataset involves a focus on ldquopickpocketing purse snatching and shopliftingrdquo which may beseen in Figure 8
Figure 8 Pickpocketing Purse Snatching and Shoplifting in the City of Angels 2012 ndash 2015
Smoking Habits in Kansas 1995 ndash 2010
Another dataset used was from the US Centers for Disease Control and Prevention The Behavioral Risk FactorSurveillance System (BRFSS) shares its trend data through the Datagov portal The set used here is the following BRFSSPrevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
The Back-end of the Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015 Annotations
Details
Pickpocketing Purse Snatching and Shoplifting in the City of Angels Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 67
The percentages of tobacco use are weighted to population characteristics to ensure that the statistics are comparableacross the states The data may be exported as csv csv for Excel JSON RDF RSS and XML data (Figure 9)
Figure 9 BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
In this case the streamgraph is created from the Kansas data from 1995 ndash 2010 The categories are Never smoked Formersmoker Smoke some days and Smoke every day (Figure 10)
Figure 10 Tobacco Use in Kansas from 1995 ndash 2010 (CDC)
When the data accounts for 100 of what is possible there is no white space Of course it is possible to run only say partof the dataset like ldquosmoke everydayrdquo and ldquosmoke some daysrdquo to have a twoshyvariable set with white space in thestreamgraph It is important to pare down data in order to have a coherent streamgraph An overloaded streamgraph canlose informational coherence quickly (and result in jagged lines)
BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010 Annotations
Details
Tobacco Use in Kansas from 1995 ndash 2010 (CDC) Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 77
Version 3 of this page updated 07 October 2016
C2C Digital Magazine (Spring Summer 2017) by Colleague 2 Colleague Help reading this book
Powered by Scalar
Terms of Service | Privacy Policy | Scalar Feedback
New Edit Hide
Comment on this page
Previous page on path Cover page 2 of 4 Next page on path
Sparser data with some zeroes will result in more dramatic views such as with crossshyover of some of the lines Usingnegative cell values can also result in dramatic and swooping lines Sometimes running fewer years can also result in someeyeshycatching visuals
About the Author Shalin HaishyJew works as an instructional designer at Kansas State University She may be reached at shalinkshystateedu
Related (No related content)
streamgraph Datagov
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 57
Interestingly the addshyin adds in 5 years or halfshyyears which enables a kind of smoothing between years
Figure 7 The Backshyend of the Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015
Another subset of the crime dataset involves a focus on ldquopickpocketing purse snatching and shopliftingrdquo which may beseen in Figure 8
Figure 8 Pickpocketing Purse Snatching and Shoplifting in the City of Angels 2012 ndash 2015
Smoking Habits in Kansas 1995 ndash 2010
Another dataset used was from the US Centers for Disease Control and Prevention The Behavioral Risk FactorSurveillance System (BRFSS) shares its trend data through the Datagov portal The set used here is the following BRFSSPrevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
The Back-end of the Arsquos and Brsquos of the City of Los Angeles Crime Set 2012 ndash 2015 Annotations
Details
Pickpocketing Purse Snatching and Shoplifting in the City of Angels Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
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The percentages of tobacco use are weighted to population characteristics to ensure that the statistics are comparableacross the states The data may be exported as csv csv for Excel JSON RDF RSS and XML data (Figure 9)
Figure 9 BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
In this case the streamgraph is created from the Kansas data from 1995 ndash 2010 The categories are Never smoked Formersmoker Smoke some days and Smoke every day (Figure 10)
Figure 10 Tobacco Use in Kansas from 1995 ndash 2010 (CDC)
When the data accounts for 100 of what is possible there is no white space Of course it is possible to run only say partof the dataset like ldquosmoke everydayrdquo and ldquosmoke some daysrdquo to have a twoshyvariable set with white space in thestreamgraph It is important to pare down data in order to have a coherent streamgraph An overloaded streamgraph canlose informational coherence quickly (and result in jagged lines)
BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010 Annotations
Details
Tobacco Use in Kansas from 1995 ndash 2010 (CDC) Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 77
Version 3 of this page updated 07 October 2016
C2C Digital Magazine (Spring Summer 2017) by Colleague 2 Colleague Help reading this book
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Previous page on path Cover page 2 of 4 Next page on path
Sparser data with some zeroes will result in more dramatic views such as with crossshyover of some of the lines Usingnegative cell values can also result in dramatic and swooping lines Sometimes running fewer years can also result in someeyeshycatching visuals
About the Author Shalin HaishyJew works as an instructional designer at Kansas State University She may be reached at shalinkshystateedu
Related (No related content)
streamgraph Datagov
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 67
The percentages of tobacco use are weighted to population characteristics to ensure that the statistics are comparableacross the states The data may be exported as csv csv for Excel JSON RDF RSS and XML data (Figure 9)
Figure 9 BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010
In this case the streamgraph is created from the Kansas data from 1995 ndash 2010 The categories are Never smoked Formersmoker Smoke some days and Smoke every day (Figure 10)
Figure 10 Tobacco Use in Kansas from 1995 ndash 2010 (CDC)
When the data accounts for 100 of what is possible there is no white space Of course it is possible to run only say partof the dataset like ldquosmoke everydayrdquo and ldquosmoke some daysrdquo to have a twoshyvariable set with white space in thestreamgraph It is important to pare down data in order to have a coherent streamgraph An overloaded streamgraph canlose informational coherence quickly (and result in jagged lines)
BRFSS Prevalence and Trends Data Tobacco Use ndash Four Level Smoking Data for 1995 ndash 2010 Annotations
Details
Tobacco Use in Kansas from 1995 ndash 2010 (CDC) Annotations
Details
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 77
Version 3 of this page updated 07 October 2016
C2C Digital Magazine (Spring Summer 2017) by Colleague 2 Colleague Help reading this book
Powered by Scalar
Terms of Service | Privacy Policy | Scalar Feedback
New Edit Hide
Comment on this page
Previous page on path Cover page 2 of 4 Next page on path
Sparser data with some zeroes will result in more dramatic views such as with crossshyover of some of the lines Usingnegative cell values can also result in dramatic and swooping lines Sometimes running fewer years can also result in someeyeshycatching visuals
About the Author Shalin HaishyJew works as an instructional designer at Kansas State University She may be reached at shalinkshystateedu
Related (No related content)
streamgraph Datagov
1092016 Creating a Streamgraph in Microsoft Excel 2016
httpscalarusceduworksc2cshydigitalshymagazineshyspringshyshysummershy2017creatingshyashystreamgraphshyinshymicrosoftshyexcelshy2016path=index 77
Version 3 of this page updated 07 October 2016
C2C Digital Magazine (Spring Summer 2017) by Colleague 2 Colleague Help reading this book
Powered by Scalar
Terms of Service | Privacy Policy | Scalar Feedback
New Edit Hide
Comment on this page
Previous page on path Cover page 2 of 4 Next page on path
Sparser data with some zeroes will result in more dramatic views such as with crossshyover of some of the lines Usingnegative cell values can also result in dramatic and swooping lines Sometimes running fewer years can also result in someeyeshycatching visuals
About the Author Shalin HaishyJew works as an instructional designer at Kansas State University She may be reached at shalinkshystateedu
Related (No related content)
streamgraph Datagov
