From the apostle Paul’s letter to the Philippians:
This is my prayer:
that your love may abound more and more
in knowledge and depth of insight,
so that you may be able to discern what is best and may be pure and blameless for the day of Christ, filled with the fruit of righteousness that comes through Jesus Christ—to the glory and praise of God.
…using computing in Python and occasionally other tools
Discussions on ethics and perspectives are woven in throughout the course.
“What aspects of this course most helped your learning?”
Lab. Homework. “forced our brains to work.”
“What additional or different things could you have done to enhance your learning?”
“gone to more office hours”, “gone over the exercises and homework more”
https://r.cs.calvin.edu/Note: Perusall is new for this course, so expect some growing pains.
Seek good and not evil, that you may live,
and so the Lord, the God of hosts, will be with you, just as you have said. Hate evil and love good, and establish justice in the gate;
it may be that the Lord, the God of hosts, will be gracious to the remnant of Joseph.
…
I hate, I despise your festivals, and I take no delight in your solemn assemblies. Even though you offer me your burnt offerings and grain offerings, I will not accept them, and the offerings of well-being of your fatted animals I will not look upon. …
But let justice roll down like water and righteousness like an ever-flowing stream.
What might this mean for us working with data?
Challenge: data feels powerful, people listen to what you use it to say.
So we will practice:
It’s tempting to say something that isn’t entirely true, or to manipulate the collection/analysis/reporting process to yield the answer you want.
So we will practice:
We can choose to use our tools to elucidate and clarify, rather than obscure.
So we will practice:
Data Science can both cause harm and reveal it.
So we will:
| country | year | issue | percent_yes | |
|---|---|---|---|---|
| 0 | Turkey | 1946 | Colonialism | 0.800000 |
| 1 | Turkey | 1946 | Economic development | 0.600000 |
| 2 | Turkey | 1946 | Human rights | 0.000000 |
| 3 | Turkey | 1947 | Colonialism | 0.222222 |
| 4 | Turkey | 1947 | Economic development | 0.500000 |
| ... | ... | ... | ... | ... |
| 1207 | US | 2019 | Arms control and disarmament | 0.187500 |
| 1208 | US | 2019 | Economic development | 0.187500 |
| 1209 | US | 2019 | Human rights | 0.357143 |
| 1210 | US | 2019 | Palestinian conflict | 0.000000 |
| 1211 | US | 2019 | Nuclear weapons and material | 0.058824 |
1212 rows × 4 columns
show_plot(
px.scatter(votes, x='year', y='percent_yes', color='country',
facet_col='issue', facet_col_wrap=3, facet_col_spacing=.1,
trendline='lowess',
labels={"percent_yes": "% Yes Votes", "year": "Year", "country": "Country"},
title="Percentage of 'Yes' votes in the UN General Assembly")
.update_traces(marker_size=2)) # Smaller markersshow_plot(
px.scatter(votes, x='year', y='percent_yes', color='country',
facet_col='issue', facet_col_wrap=3, facet_col_spacing=.1,
trendline='lowess',
labels={"percent_yes": "% Yes Votes", "year": "Year", "country": "Country"},
title="Percentage of 'Yes' votes in the UN General Assembly")
.update_traces(marker_size=2) # Smaller markers
# Remove the "issue="
.for_each_annotation(lambda a: a.update(text=a.text.split("=", 1)[-1])))show_plot(
px.scatter(votes, x='year', y='percent_yes', color='country',
facet_col='issue', facet_col_wrap=3, facet_col_spacing=.1,
trendline='lowess',
labels={"percent_yes": "% Yes Votes", "year": "Year", "country": "Country"},
title="Percentage of 'Yes' votes in the UN General Assembly")
.update_traces(marker_size=2) # Smaller markers
# Remove the "issue="
.for_each_annotation(lambda a: a.update(text=a.text.split("=", 1)[-1]))
.update_yaxes(tickformat=",.0%")) # Percent labels