From 7b88f62e0a33a64bf371dd35f764ea838dd35f78 Mon Sep 17 00:00:00 2001
From: junos <junos.lukan@ijs.si>
Date: Tue, 8 Jun 2021 11:21:18 +0200
Subject: [PATCH] Explore baseline screening data in a notebook.

---
 exploration/expl_baseline.py | 75 ++++++++++++++++++++++++++++++++++++
 1 file changed, 75 insertions(+)
 create mode 100644 exploration/expl_baseline.py

diff --git a/exploration/expl_baseline.py b/exploration/expl_baseline.py
new file mode 100644
index 0000000..331ad7e
--- /dev/null
+++ b/exploration/expl_baseline.py
@@ -0,0 +1,75 @@
+# ---
+# jupyter:
+#   jupytext:
+#     formats: ipynb,py:percent
+#     text_representation:
+#       extension: .py
+#       format_name: percent
+#       format_version: '1.3'
+#       jupytext_version: 1.11.2
+#   kernelspec:
+#     display_name: straw2analysis
+#     language: python
+#     name: straw2analysis
+# ---
+
+# %%
+import os
+import sys
+import datetime
+import seaborn as sns
+import pandas as pd
+
+nb_dir = os.path.split(os.getcwd())[0]
+if nb_dir not in sys.path:    sys.path.append(nb_dir)
+
+import participants.query_db
+
+# %%
+baseline_si = pd.read_csv('E:/STRAWbaseline/results-survey637813.csv')
+baseline_be = pd.read_csv('E:/STRAWbaseline/results-survey358134.csv')
+
+# %%
+participants_inactive_usernames = participants.query_db.get_usernames(collection_start=datetime.date.fromisoformat("2020-08-01"))
+
+# %%
+baseline = pd.concat([baseline_si, baseline_be], join="inner").reset_index().drop(columns="index")
+baseline_inactive = baseline[baseline["Gebruikersnaam"].isin(participants_inactive_usernames)]
+
+# %%
+baseline
+
+# %%
+participants_inactive_usernames = pd.Series(participants.query_db.get_usernames(collection_start=datetime.date.fromisoformat("2020-08-01")))
+
+# %% [markdown]
+# # Demographic information
+
+# %% [markdown]
+# ## Numerus
+
+# %%
+print(baseline_inactive.shape[0])
+print(participants_inactive_usernames.shape[0])
+
+# %%
+participants_inactive_usernames[~participants_inactive_usernames.isin(baseline["Gebruikersnaam"])].sort_values()
+
+# %%
+baseline_inactive["startlanguage"].value_counts()
+
+# %%
+baseline_inactive["Geslacht"].value_counts()
+
+# %%
+now = pd.Timestamp('now')
+baseline_inactive = baseline_inactive.assign(dob = lambda x: pd.to_datetime(x.Geboortedatum),
+                                             age = lambda x: now - x.dob)
+
+# %%
+baseline_inactive["age"].describe()
+
+# %%
+3710/365.25
+
+# %%