diff --git a/statascheme/README.md b/statascheme/README.md
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+# Stata Du Bois Scheme
+
+You can install the **dubois** Stata scheme on any machinge using the **ssc install dubois** command. After installation, get tips and help documentation using the **help dubois** command. The **scheme-dubois.scheme** file automates some parts of graphing in Stata to use the same style as the 1900 data portraits of Black America by W.E.B. Du Bois and his collaborators (Battle-Baptiste &
+Russert 2018; Stark 2019). These style elements include:
+* aspect ratio of 0.78 (portrait) or 1.27 (landscape) consistent with the large format 22x28 inch portrait oriented posters of the Du Bois 1900 Paris exposition.
+* The use of bold solid colors is a characteristic of the DuBois style. Here are the colors in the Du Bois palette: black, brown, tan, gold, pink, crimson, green, blue, often employing the Pan-African combination of red (crimson), yellow (gold) , green, and black.
+* linen color background "250 240 230"
+* grey gridlines for two dimensional line and area plots
+
+To use the Du Bois scheme, you need to add the **scheme-dubois.scheme** file to your “ado” directory files in Stata. On a Mac, the file path for the scheme (“s”) folder where you should add the **scheme-dubois.scheme** file is /Applications/Stata/ado/base/s/. Eventually, we hope to publish the scheme in the Statistical Software Components (SSC) archive so that the scheme can be installed using the ssc install command.
+
+Once you’ve added the **scheme-dubois.scheme** file to your folder, you can use the scheme within Stata in one of two ways:
+* **set scheme dubois** sets the Du Bois scheme as your scheme for your entire Stata session.
+* adding the specification **scheme(dubois)** to any graph command will render the graph using the Du Bois scheme
+
+Many elements of the Du Bois style cannot be automated with a Stata scheme file. For example, graph fonts cannot be controlled via a Stata scheme. To illustrate how to implement other elements of Du Bois style, this repository includes use cases for recreating original Du Bois data portraits and for creating visualizations of contemporary social data and relations in the Du Boisian style. The use cases are provided as Jupyter Notebooks containing both Stata code and graphs. For those who do not use Jupyter Notebooks, Notebooks can easily be viewed by copying and pasting the GitHub url for any Jupityr Notebook into the NBviewer: https://nbviewer.jupyter.org. The three initial use cases with notebooks are:
+* Du Bois' original Plate 10 "Conjugal Condition" by race and age poster **duboischallenge2.ipnyb**, viewable below.
+* For-profit college enrollment by race **duboisforprofitenrollments.ipynb**, viewable at: https://nbviewer.jupyter.org/github/charlieeatonphd/dubois-data-portraits/blob/master/statascheme/duboisforprofitenrollments.ipynb
+* Student debt and the hidden racial wealth gap **studentdebthiddenracialwealthgap.ipynb**, viewable at: https://nbviewer.jupyter.org/github/charlieeatonphd/dubois-data-portraits/blob/master/statascheme/studentdebthiddenracialwealthgap.ipynb
+
+The **duboischallenge2.ipnyb** Notebook recreates Du Bois' Plate 10 "Conjugal Condition" poster (right):
+
+![challenge2](challenge2sidebyside.png)
+
+The **duboisforprofitenrollments.ipynb** Notebook plots for-profit college enrollments by race (left) based on the Du Bois' design of Plate 40's plot of the U.S. population by race from 1790 to 1890:
+
+![forprofitsvsplate40](duboisforprofitsvspopulation19701890.png)
+
+One of the most important style elements that cannot be controlled by a Stata scheme is fonts. Anthony Starks and others have noted that Public Sans closely resembles the original Du Bois font. Adding less common fonts like this to Mac OS Font Book can be challenging for novices. Among the factory installed Mac fonts, Tahoma is closest to that used by Du Bois, especially when key elements like main titles are written with all caps. To set your graphing font to Tahoma in Stata, use the following lines of code which are also found in the Jupyter Notebook use cases:
+* graph set svg fontface Tahoma
+* graph set eps fontface Tahoma
+* graph set ps fontface Tahoma
+
+If you discover ways to improve or expand on the Stata scheme or other Stata graphing specifications, please submit an issue or contact us in the Discussions tab of our repository here: https://github.com/charlieeatonphd/dubois-data-portraits/discussions
+
+Thanks!!!
+
+**Citations**
+* Library of Congress collection "African American Photographs Assembled for 1900 Paris Exposition": https://www.loc.gov/collections/african-american-photographs-1900-paris-exposition/about-this-collection/
+* "W.E.B Dubois's Data Portraits Visualizing Black America" (2018) by Whitney Battle-Baptise and Britt Rusert (ISBN-978-1-61689-706-2): https://www.amazon.com/W-Boiss-Data-Portraits-Visualizing/dp/1616897066.
+* “What is Dubois-Style Visualization?” (2019) by Anthony Starks. https://github.com/ajstarks/dubois-data-portraits/blob/master/dubois-style.md
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diff --git a/statascheme/duboischallenge2.ipynb b/statascheme/duboischallenge2.ipynb
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+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(5 vars, 6 obs)\n"
+ ]
+ }
+ ],
+ "source": [
+ "insheet using https://raw.githubusercontent.com/ajstarks/dubois-data-portraits/master/challenge/challenge02/data.csv, clear"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(6 real changes made)\n"
+ ]
+ }
+ ],
+ "source": [
+ "replace population=upper(population)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "graph set svg fontface Tahoma\n",
+ "graph set eps fontface Tahoma\n",
+ "graph set ps fontface Tahoma\n",
+ "set scheme dubois"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "quietly graph hbar single married divorcedandwidowed if age==\"15-40\", over(population,) stack ///\n",
+ "ylabel(none) ///\n",
+ "blabel(bar, format(%2.1fc) size(small) position(center)) ///\n",
+ "legend(label(1 \"SINGLE\") label(2 \"MARRIED\") label(3 \"DIVORCED AND WIDOWED\") ///\n",
+ "rows(2) order(1 3 2) pos(12)) title(\"AGE\" \" \" \"15-40\", position(9) size(medium)) name(g1540,replace)\n",
+ "\n",
+ "quietly graph hbar single married divorcedandwidowed if age==\"40-60\", over(population,) stack ///\n",
+ "ylabel(none) ///\n",
+ "blabel(bar, format(%2.1fc) size(small) position(center)) ///\n",
+ " title(\"40-60\", position(9) size(medium)) name(g4060,replace)\n",
+ "\n",
+ "quietly graph hbar single married divorcedandwidowed if age==\"40-60\", over(population,) stack ///\n",
+ "ylabel(none) ///\n",
+ "blabel(bar, format(%2.1fc) size(small) position(center)) ///\n",
+ " title(\"60\" \" \" \"AND\" \" \" \"OVER\", position(9) size(medium)) name(gover60,replace)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/pdf": 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",
+ "image/png": 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",
+ "text/plain": [
+ "This front-end cannot display the desired image type."
+ ]
+ },
+ "metadata": {
+ "image/png": {
+ "height": 381.5,
+ "width": 300
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "grc1leg g1540 g4060 gover60, col(1) pos(12) title({bf:CONJUGAL CONDITION})\n",
+ "graph display\n",
+ "*graph export duboischallenge2.pdf, replace"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Stata",
+ "language": "stata",
+ "name": "stata"
+ },
+ "language_info": {
+ "codemirror_mode": "stata",
+ "file_extension": ".do",
+ "mimetype": "text/x-stata",
+ "name": "stata",
+ "version": "15.1"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/statascheme/duboisforprofitenrollments.ipynb b/statascheme/duboisforprofitenrollments.ipynb
new file mode 100644
index 0000000..f407e3d
--- /dev/null
+++ b/statascheme/duboisforprofitenrollments.ipynb
@@ -0,0 +1,262 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%set graph_format svg"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "quietly {\n",
+ "graph set svg fontface Tahoma\n",
+ "graph set eps fontface Tahoma\n",
+ "graph set ps fontface Tahoma\n",
+ "use duboisforprofits.dta, clear\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/pdf": "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",
+ "image/svg+xml": [
+ "\n",
+ "\n",
+ "\n",
+ "\n"
+ ],
+ "text/html": [
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