Q08. Research Years

Q08. Research Years#

Question#

How long have you been in this field? If none of the options apply, please fill in “Other”.

Choices#

  1. < 1 year

  2. 1 - 3 years

  3. 3 - 5 years

  4. 5 - 10 yeas

  5. 10+ years

  6. Prefer not to answer

Responses#

import pandas as pd
import hvplot.pandas
import titanite as ti

print(f"Pandas: {pd.__version__}")
print(f"Titanite: {ti.__version__}")

%opts magic unavailable (pyparsing cannot be imported)
%compositor magic unavailable (pyparsing cannot be imported)

Pandas: 2.2.2
Titanite: 0.5.0

f_cfg = "../../../sandbox/config.toml"
f_csv = "../../../data/test_data/prepared_data.csv"
d = ti.Data(read_from=f_csv, load_from=f_cfg)
config = d.config()
data = d.read()

2024-08-26 16:49:18.446 | INFO     | titanite.preprocess:categorical_data:135 - Categorize

names = ["q08"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Breakdowns#

names = ["q08", "q02"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q08", "q09"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q08", "q11"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Gender Balance#

names = ["q08", "q12_genderbalance"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q08", "q17_genderbalance"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
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