--- Salary --- 

1n9lRY5NxHjmXfqZfXJxytBqznzP_vWOPfSbv2rL-T38/Form Responses 1

--- by_language ---

SELECT PRIMARY_LANGUAGE_TECHNOLOGY_STACK AS LANGUAGE, COUNT(*) as tot,
       AVG(HOW_MANY_YEARS_HAVE_YOU_WORKED_IN_TECH) as YEARSWORKED, 
       MIN(HOW_MANY_YEARS_HAVE_YOU_WORKED_IN_TECH) as yearsworked_min, 
       MAX(HOW_MANY_YEARS_HAVE_YOU_WORKED_IN_TECH) as yearsworked_max,
       AVG(WHAT_IS_YOUR_ANNUALIZED_BASE_SALARY_IN_USD) as salary
FROM salaries 
GROUP BY PRIMARY_LANGUAGE_TECHNOLOGY_STACK 
HAVING tot > 2;

--- group by race_ethnicity ---

= 'Other Race/ Ethnicity' or race_ethnicity = 'Black Non-Hispanic' or race_ethnicity = 'White Non-Hispanic' or race_ethnicity = 'Hispanic' or race_ethnicity = 'Asian and Pacific Islander'or race_ethnicity = 'Not Stated/Unknown' 


SELECT year,
  SUM( CASE WHEN race_ethnicity = 'Other Race/ Ethnicity' THEN deaths ELSE 0 END ) as Other,
  SUM( CASE WHEN race_ethnicity = 'Black Non-Hispanic' THEN deaths ELSE 0 END ) as Black_NH,
  SUM( CASE WHEN race_ethnicity = 'White Non-Hispanic' THEN deaths ELSE 0 END ) as White_NH,
  SUM( CASE WHEN race_ethnicity = 'Hispanic' THEN deaths ELSE 0 END ) as Hispanic,
  SUM( CASE WHEN race_ethnicity = 'Asian and Pacific Islander' THEN deaths ELSE 0 END ) as Asian_Pacific,
  SUM( CASE WHEN race_ethnicity = 'Not Stated/Unknown' THEN deaths ELSE 0 END ) as Unknown_Ethnicity
FROM causes GROUP BY year

--- # Import matplotlib, generate a plot, and output it.
import matplotlib
import matplotlib.pyplot as plt
import io
#switch to non display backend
plt.switch_backend('agg')
import numpy as np

# Get object for dataset with given name.
ds = vizierdb.get_dataset('causes')

data = dict()

for row in ds.rows:
    year = row.get_value('YEAR')
    ethnicity = row.get_value('RACE_ETHNICITY')
    deaths = row.get_value('DEATHS')

    if deaths != None:
        if ethnicity not in data:
            data[ethnicity] = dict()

        if year not in data[ethnicity]:
            data[ethnicity][year] = 0

        data[ethnicity][year] += deaths

# Data for plotting
fig, ax = plt.subplots()
for ethnicity in data:
    by_year = data[ethnicity]
    years = sorted(by_year.keys())
    ax.plot(
        years,
        [ by_year[year] for year in years ],
        label = ethnicity,
        linewidth=3
    )
        
ax.plot()
ax.set(xlabel='Year', ylabel='Death Rate')
ax.grid()
ax.legend(loc = 'upper left')

with io.BytesIO() as imgbytes:
  fig.savefig(imgbytes, format="svg")
  print(imgbytes.getvalue().decode("utf-8"))