Q03. Workplace#
Question#
Which geographical region are you currently working or attending school/university in?
Choices#
Asia / Japan
Asia / Eastern Asia
Asia / South-Eastern Asia
Asia / Southern Asia
Asia / Central Asia
Asia / Western Asia
Africa / Northern Africa
Africa / Western Africa
Africa / Middle Africa
Africa / Eastern Africa
Africa / Southern Africa
Europe / North Europe
Europe / West Europe
Europe / Central Europe
Europe / East Europe
Europe / South Europe
America / North America
America / Central America
America / South America
Oceania
Prefer not to answer
These choices are based on the United Nations Geoscheme.
Responses#
import pandas as pd
import titanite as ti
print(f"Pandas: {pd.__version__}")
print(f"Titanite: {ti.__version__}")
Pandas: 3.0.2
Titanite: 0.7.0
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()
2026-05-11 20:43:15.315 | ERROR | titanite.config:load_toml:87 - File not found: ../../../sandbox/config.toml
---------------------------------------------------------------------------
Exit Traceback (most recent call last)
Cell In[2], line 4
1 f_cfg = "../../../sandbox/config.toml"
2 f_csv = "../../../data/test_data/prepared_data.csv"
3 d = ti.Data(read_from=f_csv, load_from=f_cfg)
----> 4 config = d.config()
5 data = d.read()
File ~/work/surveys/surveys/titanite/config.py:261, in Data.config(self)
259 def config(self):
260 c = Config(load_from=self.load_from)
--> 261 return c.load_config()
File ~/work/surveys/surveys/titanite/config.py:95, in Config.load_config(self)
94 def load_config(self) -> dict:
---> 95 config = self.load_toml()
96 return config
File ~/work/surveys/surveys/titanite/config.py:88, in Config.load_toml(self)
86 if not fname.exists():
87 logger.error(f"File not found: {fname}")
---> 88 raise typer.Exit(code=1)
90 with fname.open("rb") as f:
91 config = tomllib.load(f)
Exit:
names = ["q03"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
names = ["q03_regional"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
names = ["q03_subregional"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
Breakdowns#
names = ["q03_subregional", "q02"]
bd = ti.analysis.breakdowns(data, names, width=2000)
bd.graph.cols(1)
日本は男性の回答者がおおい
names = ["q03_regional", "q04_regional"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
母国で働いているひとが多い
names = ["q03_subregional", "q04_regional"]
bd = ti.analysis.breakdowns(data, names)
# bd.graph.cols(1)
names = ["q03_subregional", "q11"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)