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Commit 018b2df2 authored by Florent Chehab's avatar Florent Chehab
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init

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*.html
.ipynb_checkpoints
proj_env
data
.gitlab-ci.yml 0 → 100644
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image: python:3.6.5-jessie
pages:
stage: deploy
script:
- pip install -r ./requierements.txt --quiet --quiet
- cd ./analysis
- jupyter nbconvert --execute --to html_toc analysis.ipynb
- cd ../
- mkdir .public
- mv ./analysis/analysis.html .public/index.html
- mv .public public
artifacts:
paths:
- public
expire_in: 1 year
only:
- master
tags:
- docker
README.md 0 → 100644
View file @ 018b2df2
# TODO
source activate proj_env/bin/activate
\ No newline at end of file
analysis/analysis.ipynb 0 → 100755
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%% Cell type:raw id: tags:
<script>
function code_toggle() {
if (code_shown){
$('div.input').hide('200');
$('#toggleButton').val('Afficher le code source')
} else {
$('div.input').show('200');
$('#toggleButton').val('Cacher le code source')
}
code_shown = !code_shown
}
$( document ).ready(function(){
code_shown=false;
$('div.input').hide()
});
</script>
<form action="javascript:code_toggle()">
<input type="submit" id="toggleButton" value="Afficher le code source" style="margin-left: auto;margin-right: auto; display:block;" class="btn btn-info">
</form>
%% Cell type:markdown id: tags:
<center>
<img src="https://gitlab.utc.fr/LaTeX-UTC/Graphismes-UTC/raw/56dd9762de926727aa45c8279dcdf54a753335c8/logos/UTC/logo_UTC.png" alt="Logo UTC" width="200px"/>
<br>
<H1>Observatoire des évaluations d'UVs</H1>
</center>
%% Cell type:code id: tags:
``` python
import socket
def is_connected():
hostname = "www.utc.fr"
try:
host = socket.gethostbyname(hostname)
s = socket.create_connection((host, 80), 2)
return True
except:
pass
return False
```
%% Cell type:code id: tags:
``` python
# For auto completion inside jupyter notebook
%config IPCompleter.greedy=True
import json
from collections import OrderedDict
from datetime import datetime
from IPython.core.display import HTML
from IPython.core.display import Markdown
# For plotting data
from plotly.offline import init_notebook_mode, plot, iplot
import plotly.graph_objs as go
if is_connected():
# do not include plotly js directly
init_notebook_mode(connected=True)
else:
# include plotly js directly
import cufflinks as cf
cf.set_config_file(offline=True, world_readable=True, theme='ggplot')
# pandas and numpy for managing data
import pandas as pd
import numpy as np
# import data
data_json = json.load(open('../data/A17.json'))
DATE = data_json["date"]
semester = data_json["semester"]
data_dict = OrderedDict(data_json["data"])
# first we convert the date and time
for uv, description in data_dict.items():
if description["date_review"] is not None:
description["date_review"] = datetime.strptime(description["date_review"], '%d/%m/%Y')
# and we make it pandas dataframe
data_pd = pd.DataFrame.from_dict(data_dict, orient = "index")
```
%% Cell type:markdown id: tags:
## Généralités
### Présentation des données
%% Cell type:code id: tags:
``` python
Markdown("Les données datent du : " + str(DATE))
```
%% Cell type:code id: tags:
``` python
print(list(data_pd))
```
%% Cell type:markdown id: tags:
Voici un exemple de ligne (il y a une ligne par UV) :
<div class="alert alert-success">
<strong>Success!</strong> Indicates a successful or positive action.
</div>
%% Cell type:code id: tags:
``` python
print(data_pd.iloc[0])
```
%% Cell type:markdown id: tags:
### Taux de réponse
%% Cell type:code id: tags:
``` python
nb_uvs = len(data_pd.index)
print("Nombre d'UVs étudiées : "+str(nb_uvs))
uvs_with_evals = data_pd.loc[pd.notna(data_pd["date_review"])]
nb_uvs_with_evals = len(uvs_with_evals.index)
print("Nombre d'UVs où le responsable a visualisé les évaluations : "+str(nb_uvs_with_evals))
print("Taux de visualisation : "+"{0:.0f}%".format(float(nb_uvs_with_evals)/nb_uvs * 100))
```
%% Cell type:markdown id: tags:
### Délai de réponse des responsables d'UVs
%% Cell type:code id: tags:
``` python
graph_data = [
go.Scatter(
x=uvs_with_evals.sort_values(by=['date_review'])['date_review'],
y=[100*float(i+1)/nb_uvs for i,e in enumerate(uvs_with_evals.index)],
text=uvs_with_evals.sort_values(by=['date_review']).index
)
]
layout = go.Layout(
title = "Délai de réponse",
yaxis=dict(
range=[0, 100],
title='Taux de réponse',
),
xaxis=dict(
title="Date"
)
)
iplot(go.Figure(data=graph_data, layout=layout))
```
%% Cell type:markdown id: tags:
# Analyse quantitative
%% Cell type:code id: tags:
``` python
def get_stats_uv_question(stats, question):
q = str(question)
return stats[q]["++"], stats[q]["+"], stats[q]["-"], stats[q]["--"]
nb_pp, nb_p, nb_m, nb_mm = 0, 0, 0, 0
for i, row in data_pd.iterrows():
for q in range(1,11):
a, b, c, d = get_stats_uv_question(row["stats"],q)
nb_pp += a
nb_p += b