AmCharts has updated its library to version 5. AmCharts5 includes updates to their Venn diagram library. Since I love Venn diagrams I spent the morning figuring it out. I created the Venn diagram below to show HS completers. It took me a while to figure out the syntax. Overall I think I was mostly able to make it do what I wanted to do. However, I since haven’t figured out how to put a category entirely in another category. For example, I would like a big circle with all HS completers that includes HS graduates and HS certificate students.

The Venn diagram below is of Maryland public school students that completed high school. It shows the overlap of how the students that: (1) earned a completion certificate (for completing a special education program); (2) met the University System of Maryland (USM) requirements); (3) met the Career and Technical Education (CTE) requirements; and/or (4) met the regular diploma requirements. “Normal diploma” is just to indicate students that did not earn either a USM or CTE credentials in addition to their high school diploma. This is primarily for my own understanding of the data and to learn web-based data visualization techniques.

Now that I have made this visualization I am not sure if using a Venn diagram is better than a Sankey diagram for this data. I would also like to add additional information to the chart such as a title and to have the actual numbers displayed on the chart. As far as the data goes, I wish that I had information about the post-high school behavior of these different groups of students. According to this data, about 60.5% of high school completers met the USM requirements.

The colors used below are not intended to mean anything beyond looking nice. It took me a while to figure out the colors. Once I figured it out I just used a rainbow with my only intention to combine blue and yellow to make green.

StateWide High School CompLetion Venn Diagram

Source: Maryland State Department of Education, 2019 High School Completion

This is a test of a waterfall chart with negative numbers. This is just a test to see if I can recreate a waterfall chart I saw using Amcharts. I have linked the document with the original waterfall chart in the source below, the chart is on page 16 of the document. Initially had trouble with showing the final two bars because they went into negative numbers, but I was able to play around with the formatting to get it to display properly. As I note I do not have access to the underlying data, I used the displayed figures to produce the chart below. To completely recreate the chart I need to still figure out how to format the Y axis numbers. I need to add a “$” sign and truncate the numbers. I will research this and update once I figure it out.

ARP: American Rescue Plan

COLA: cost-of-living adjustment

IT: information technology

Source: Department of Legislative Services

I have made a few updates to my Sankey diagram that shows college enrollment by dually enrolled students. I really wish I had college enrollment data on non-dually enrolled students so I could compare the two groups.

I am publishing this update because my primary goal of this blog is to document for myself how to make better data visualizations.

Dual Enrollment College Pipeline

Twenty-one percent of public school 12th graders in Maryland during the 2019-2020 school year had a college record, that is they had been enrolled in a college class. The majority of these students participated in a dual enrollment program through their local school system. In fall 2020, the fall after they were slated to graduate from high school 79% of students who had a college record enrolled in college. This was during the height of the COVID-19 pandemic. Of those who enrolled in college, 75% enrolled at an in-State institution and 25% enrolled at an out-of-state institution. A little more than half of the in-State students (55%) enrolled at a community college, the remaining 45% enrolled at a public four-year or State-aided independent institution. Further, approximately half (51%) of students who enrolled in an in-State institution enrolled at their college of dual enrollment.

Source: Maryland Longitudinal Data System Center

Further Questions

I would be curious to know how college enrollment patterns of dual enrollment students compare to all public school 12th graders in Maryland. The Sankey graph above with that information would be much improved. Without that information, I am not really sure what it all means.

I am also interested in whether the dual enrollment credits earned transferred to the college in a meaningful way. According to MLDS data, students that took dual enrollment courses in high school earned an average of 2.14 credits.

Further, I wish that I had information on whether these students took AP or IB courses, which can also lead to college credit. I am curious if students are taking dual enrollment courses in addition to or instead of these courses. I wonder if the courses taken are primarily due to student choice, or due to the courses available at the student’s particular high school.

Finally, I am curious how these students perform in college.

Every year the Maryland Longitudinal Data System (MLDS) Produces a report on the Maryland public school pathways. The current report shows the number of students who immediately enrolled in college earned a college degree by age 25 in the same sector that they initially enrolled. Recently MLDS updated the data to to show what has happened to the class of 2012. From the high school class of 2011 to 2012 the percentage of students who graduated from an independent non-profit four-year institution in the State and out-of-state instittuions decreased. Most other measures generally stayed about the same.

Source: Maryland Longitudinal Data Systen, Maryland Public School Pathways, 2012

Source: Maryland Longitudinal Data System, Maryland Public School Pathways 2011

NOTES ABOUT THE DATA

  • These notes are adapted from the notes provided by the Maryland Longitudinal Data System. Any errors are my own.
  • To be counted as a community college graduate, the student must have enrolled in any community college and graduated from any community college. Students who start at a community college but graduate from a college in another sector are not counted as graduates. Students who start in another sector but graduate from a community college are also excluded. To be counted as persisting (still in college), the student must have NOT graduated from any community college and be enrolled in any community college in Fall 2019. Some students who enrolled in community college transferred from the college and are enrolled in another four-year public, state-aided independent, or out-of-state institutions. Those students are not reported here.
  • To be counted as a public-four year college graduate, the student must have enrolled in any four-year public and graduated from any four-year public. Students who start at a four-year public but graduate from a college in another sector are not counted as graduates. Students who start in another sector but graduate from a four-year public are also excluded. To be counted as persisting (still in college), the student must have NOT graduated from any four-year public and be enrolled in any four-year public in Fall 2019. Some students who enrolled in a four-year public transferred from the college and are enrolled in another community college, state-aided independent institutions, or out-of-state institutions. Those students are not reported here.
  • To be counted as a State-aided indepented college graduate, the student must have enrolled in any state-aided independent institutions and graduated from any state-aided independent institution. Students who start at a state-aided institution but graduate from a college in another sector are not counted as graduates. Students who start in another sector but graduate from a state-aided independent institution are also excluded. To be counted as persisting (still in college), the student must have NOT graduated from any state-aided independent institutions and be enrolled in any state-aided independent institutions in Fall 2019. Some students when enrolled in a state-aided independent institutions transferred from the college and are enrolled in another community college, public, or out-of-state institutions. Those students are not reported here.
  • The out-of-state table above evaluates within sector college graduation independent of college of enrollment. To be counted as a college graduate, the student must have enrolled in out-of-state institutions of any type and graduated from an out-of-state institution of any type. Students who start at an out-of-state institution but graduate from a college in Maryland are not counted as graduates. Students who start at a college in Maryland but graduate from an out-of-state institution are also excluded. Out-of-state institutions may be community colleges, public four-year, or other types of private institutions.

The impact of earning college credit “early” as a high school-aged student interests me. As with many things in education, what is defined as dual enrollment depends on the program or the researcher. Factors that are considered in the definition include, when the course was taken during the year (summer programs often are not included), who paid for the course, and whether the student received both high school and college credit for the course.

I am trying to understand what dual enrollment “looks like” in Maryland using data published by the Maryland Longitudinal Data System (MLDS) Center. To make this sunburst chart I took the number of 12th graders enrolled in Maryland public schools for the 2019-2020 school year from the Maryland Report Card. Then I took dual enrollment information published by MLDS Center: the number of public 12th-grade students with a college enrollment record and the number of students with a dual enrollment record. Students with dual enrollment record have information on the number of college credits earned while in high school.

According to this data, approximately 20% of high school seniors had a college record, and about 14% had taken a dual enrollment course. About 45% of those who had taken a dual enrollment course earned between 0.5 and 1 credits. Almost 2% of students who had taken a dual enrollment course, 160 students, earned 12 credits or more.

It is unknown how many dual enrollment credits transferred and counted towards degree requirements.

Click on “Flagged Dual Enrollment” for information on credits earned by these students.

Data Notes From the MLDS Center data

This table provides data on the dual enrollment credits based upon dual enrollment activity that spans 9th to 12th grade for high school students in 12th grade in 2019-2020 academic year.  The following definitions apply:
The initial population was selected by identifying students who had both a high school enrollment record and a college enrollment record in the 2019-2020 academic year (fall to spring). Summer enrollment information was excluded from this analysis.   For the portions of this analysis that related to courses and credits, the initial population was reduced using the following logic:
1) the student’s course record must be flagged as a dual enrollment course (comprehensive course data is not available for all local school systems), and
2) the student must have both a college enrollment record for the same period as the high school course record, and
3) the course must have credits (0 credit courses were excluded which represent <1% of all courses flagged as dual enrollment courses).

Course records identified as duplicate were unduplicated to include only a single record in the analysis. The duplicate records appear to be a data reporting issue. Unduplicating the records may understate the overall course record total.

Earned credits were calculated based upon the course completion status of passed.  Attempted credits were calculated based upon the course status of passed, failed, withdrawn, and incomplete.  Due to timing of data extraction course outcome data may be incomplete.  It is possible that students not counted as earning credit did earn credit once courses with the status of incomplete were resolved.  It is also possible that courses with the status of failed or withdrawn had grade changes that occurred after data extraction.   All credit values were derived from course records from the Maryland State Department of Education.

The more visualizations I make the clearer it becomes that one of the major challenges of visualizing education data is that it is a very complicated system and it is difficult to simplify. For example, I made a visualization of student transfers from Maryland community colleges to Maryland public four-year institutions. This is only a portion of college transfers. It does not include transfers from public four-year institutions to other four-year institutions. It also does not include other segments of higher education institutions such as private four-year institutions or out-of-state institutions. There is not an easy way to simplify the data.

I made this data visualization using the “chord diagram with animated bullets” demo by amcharts. I just added in my data. The demo has 6 nodes, mine has 29. The good thing is that the nodes can be clicked off so that you can examine only specific nodes. For example, you could click off all but two of the community college to compare them.

Animated BUllet Chord Diagram of Student Transfers: Maryland Community Colleges to Maryland Public Four-year Institutions

Note: I just noticed when testing the post that this chart does not look great on mobile. It works better if you turn your phone to landscape mode. I am going to explore this further.

  • BSU=Bowie State University
  • CSU=Coppin State University
  • UB=University of Baltimore
  • UMBC=University of Maryland Baltimore County
  • UMCP=University of Maryland College Park
  • UMES=University of Maryland Eastern Shore
  • UMGC=University of Maryland Global Campus
  • SMCM=St. Mary’s College of Maryland
  • MSU=St. Mary’s College of Maryland
  • MSU=Morgan State University
  • UMB=University of Maryland, Baltimore
  • BCCC=Baltimore City Community College
  • CCBC=Community College of Baltimore County
  • CSM=College of Southern Maryland
  • MC=Montgomery College
  • PGCC=Prince George’s Community College

Source: Maryland Higher Education Commission: Undergraduate transfers among Maryland institutions of higher education 2019-2020, May 2021.

chord Diagram Student Transfers: Maryland Community Colleges to Maryland Public Four-year Institutions

Note: I just noticed when testing the post that this chart does not look great on mobile. It works better if you turn your phone to landscape mode. I am going to explore this further.

I removed the bullets to reduce the visual clutter. I think I like this version a little more, although I think that I can still make improvements. To improve it I stole the best elements from the “Who kissed who in Friends” chord diagram demo. I still think that I can make further improvements, but I need to explore the coding options a bit deeper to figure out what changes I would like to make. With this version, I may be able to add in the full names of the institutions in a future version.

This drill-down sunburst chart shows the breakdown of students that transferred to the University of Maryland College Park in fiscal 2020. The first layer shows the type of sending institution: Maryland Community Colleges; other University System of Maryland institutions; Maryland private institutions, including institutions that belong to the Maryland Univerity and College Association (MICUA); and out-of-state institutions. The second layer shows the institutions. However, since the original data source only shows the top institutions in a particular category, the names of not all out-of-state institutions are captured.

This chart is based on an Amcharts demo for a drill-down sunburst chart. This particular data only had two levels, but additional levels can be added if you have hierarchical data with multiple levels. As with several other charts I have tried making with Amcharts, this chart did not work in their add-in for WordPress. I however was able to add my data using Notepad. Then I saved the document as an HTML file by changing the file extension to .HTML. Then I uploaded the file to the media library for my website. Finally, I used some HTML code on this page to creat a frame and pull up the chart. I explained that process and shared the code I used in a previous post about my experiences making charts and maps with amcharts.

The chart shows that 63.6% of transfer students came from Maryland community colleges. Half (50.3%) of those students from Maryland community colleges came from Montgomery College, which is located in Montgomery County not far from UMCP. Anne Arundel Community College, Prince George’s Community College, and Howard Community College were also the source of a large number of transfer students. The second-largest source of transfer students is out-of-state institutions. For that category none of the sending schools are dominant. The biggest category is “other”.

UMCP Transfer Students in Fiscal 2020 Drill Down Sunburst Charth

Source: University System of Maryland, IRIS

I modified one of the Amcharts demos called map with curved lines to make a Maryland map with lines. I want to show how students transfer among colleges at universities in the state using a map. I have successfully created the base map, but I have not yet figured out how to add a stroke width to the lines. I think it would be interesting to have the thickness of the line represent the number of students that transferred. I want to see if location is a factor in transferring.

I have read through the Amcharts documentation, but I still can not figure out how to change the stroke width for each individual line. I did figure out how to change the width for all of the lines at the same time, but that is not what I want to do. I noticed when I made the lines thicker the map looked really messy, so this idea might not get off the ground even if I figure out the technical details. The issue is while I am pretty good at figuring out technical issues I do not have a strong foundation in using javascript libraries. I have an 11 hour YouTube video that I am planning on watching to build a stronger foundation, but I have not yet made the time to watch it. I keep on spending my time trying out new ideas on visualizing data. I have so many data visualizations I would like to build, I need more hours in the day to build them all. I hope I will get quicker with time

Maryland Map with Lines

If I decided to go this route I just need to take the time to enter the names and longitudes and latitudes of all of the institutions. For this map I just googled the institution and “longitude and latitude”; however, I just discovered the U.S. Department of Education College ScoreCard data download has longitude and latitude information. In the future I will try using the ScoreCard longitude and latitude information.