Activities/TD2.espec.md

@@ -4,6 +4,7 @@
    - Run `mkdir TD2`
    - You are going to put your TD2 on that directory
 
+
 1. Select a plot
    - Select any plot you have seen in journals/articles/...
    - Create a text with your **critical view** on that plot
@@ -19,4 +20,4 @@
    - `git commit -m "my TD2 has been completed"`
    - `git push`
 
-Congratulations, you're done for the TD2.
\ No newline at end of file
+Congratulations, you're done for the TD2.

Activities/TD5.espec.md

+## TD5: Data Manipulation with dplyr
+
+Using the [first name data
+set of INSEE](https://www.insee.fr/fr/statistiques/fichier/2540004/dpt2017_txt.zip),
+answer some of the following questions (you also have to use
+**ggplot2**):
+
+- First name frequency evolves along time?
+- What can we say about ``Your name here'' (for each state, FR)?
+- Is there some sort of geographical correlation with the data?
+- Which state has a larger variety of names along time?
+- _your own question_ (be creative)
+
+We have demonstrated the use of the six verbs in [our demonstration of
+dplyr](./TD5/TD5.Rmd).
+
+1. Install tidyverse ecosystem
+
+   ```
+   install.packages("tidyverse");
+
+   ```
+
+3. Unzip the file _dpt2017_txt.zip_ (to get the **dpt2017.txt**)
+
+4. Read in R with this code. Note that you might need to
+install the `readr` package with the appropriate command.
+```{r}
+file = "dpt2017_txt.zip"
+if(!file.exists(file)){
+  download.file("https://www.insee.fr/fr/statistiques/fichier/2540004/dpt2017_txt.zip",
+	destfile=file)
+}
+unzip(file)
+```
+4. Create your own R markdown (Rmd). Follow the PL guidelines,
+explaining your data manipulation and plot.
+  - Use all the six verbs: _select()_, _filter()_, _arrange()_, _mutate()_, _group_by()_, _summarize()_
+  - Plot data with _ggplot()_
+
+

Activities/TD5/TD5.Rmd

+---
+title: "Data Manipulation with dplyr"
+author: "Lucas Mello Schnorr, Jean-Marc Vincent"
+date: "February 28, 2017"
+output: pdf_document
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = TRUE)
+```
+
+This is a demonstration of how dplyr works.
+
+First, we need some data.
+
+```{r}
+df <- data.frame(
+  name = c("John", "Mary", "Alice", "Peter", "Roger", "Phyllis"),
+  age = c(13, 15, 14, 13, 14, 13),
+  sex = c("Male", "Female", "Female", "Male", "Male", "Female")
+)
+head(df);
+```
+
+Load the necessary packages:
+
+```{r}
+library(dplyr);
+library(magrittr);
+```
+
+Learning how to use the pipe operator (%>%):
+
+```{r}
+df %>% head(n=2);
+```
+
+You can chain multiple pipes:
+
+```{r}
+df %>% head(n=2) %>% nrow;
+```
+
+Now, let's use dplyr verbs, starting with _select()_ to select only one column:
+
+```{r}
+df %>% select(name);
+```
+
+You can also remove some column using the minus operator:
+
+```{r}
+df %>% select(-sex);
+```
+
+Now, let's use the _filter()_ verb (let's say we need only those of age 13):
+
+```{r}
+df %>% filter(age == 13);
+```
+
+If we need to re-order, we can use _arrange()_ (you can pass multiple variables as well):
+
+```{r}
+df %>% arrange(age);
+```
+
+And to create new columns, we can _mutate()_ (you can use existing variable names):
+
+```{r}
+df %>% mutate(birth = 2017 - age);
+```
+
+The _summarize()_ verb can be used to reduce data (to know the average age, for instance):
+
+```{r}
+df %>% summarize(mean_age = mean(age));
+```
+
+The _group_by()_ verb can be used to split data, apply some function and combine results (for example, to know the average age depending on sex):
+
+```{r}
+df %>% group_by(sex) %>% summarize(mean_age = mean(age));
+```
+
+We can also _group_by()_ by multiple variables (to see the number of occurrences of age/sex combinations):
+
+```{r}
+df %>% group_by(age, sex) %>% summarize(N=n());
+```
+
+How to use in combination with _ggplot()_:
+
+```{r, fig.width=2.5, fig.height=3}
+library(ggplot2);
+df %>%
+   group_by(sex) %>%
+   summarize(mean_age = mean(age)) %>%
+   ggplot(aes(x=sex, y=mean_age)) +
+          geom_point() + ylim(0,NA) + theme_bw();
+```

Project.espec.md

+# Mini-Projet
+
+The Mini-Projet has to be developed in *groups of two students*.
+
+## Datasets
+
+List where data sets have to be chosen from:
+
+- FR Data.gouv: https://www.data.gouv.fr/fr/
+- Insee: https://www.insee.fr/fr/accueil
+- Kaggle: https://www.kaggle.com/datasets
+- US Data.gov: https://catalog.data.gov/dataset
+
+
+## Guidelines
+
+1. Justify the data set selection and described it
+2. Formulate three questions about the selected data set
+3. Discuss with the professors and choose one question among these
+4. Propose a methodology to answer that question
+5. Implement this methodology using Literate Programming
+6. The report must be acessible online (in your git repository)
+
+## Report
+
+The R Markdown (to be written in RStudio) must contain:
+
+- Frontpage
+  - _Title_
+  - Student's name
+- Table of contents
+- Introduction
+  - Context / Dataset description
+    - How the dataset has been obtained?
+  - Description of the question
+- Methodology
+  - Data clean-up procedures
+  - Scientific workflow
+  - Data representation choices
+- Analysis in Literate Programming
+- Conclusion
+- References
+
+## Important notes
+
+The question might be from simple to complex. More the question is
+simple, more deep should be the analysis.
+
+## Groups
+
+Your project defence will be composed of (strictly) 5 minutes of presentation
+and 2 minutes of questions. The presentation support could be anything: if you
+have a PDF, you have to provide it to us in advance, if you need your own
+machine be prepared (setup time is part of your defence time).
+
+| id | Group | Time  | Teams                                       |Theme |   Repository | Rapport
+|----|-------|-------|----------------------------------------------|---------------|-------------------------|-----
+|1|2| 09:42|Wael Mazen/Tetrel Loan |   Vente de jeux video | https://gricad-gitlab.univ-grenoble-alpes.fr/waelm/mspl-2018-2019 | https://gricad-gitlab.univ-grenoble-alpes.fr/waelm/mspl-2018-2019/blob/master/Activities/Projet%20WAEL-TETREL/L3-MIAGE-MSPL-WAEL-TETREL.pdf
+|2|2| 10:00| Lemaire Loïc / Lestani Robinson | Apps Googlestore| https://gricad-gitlab.univ-grenoble-alpes.fr/lestanir/mspl-2018-2019|https://gricad-gitlab.univ-grenoble-alpes.fr/lestanir/mspl-2018-2019/blob/master/Projet/L3-MIAGE-MSPL-LESTANI-LEMAIRE.pdf
+|3|2| 10:07| Vailhère Théo /Meliard Quentin | Consommation d'alcool  | https://gricad-gitlab.univ-grenoble-alpes.fr/meliardq/mspl-2018-2019
+|4|2| 10:14| Ghammaz Ayoub / Orand Régis | Séismes | https://gricad-gitlab.univ-grenoble-alpes.fr/orandr/mspl-2018-2019 | CF mail ...
+|5|2| 10:21| Madide Adam / Phan Dhanh |Indice du boheur | https://gricad-gitlab.univ-grenoble-alpes.fr/madidea/mspl-2018-2019 | https://gricad-gitlab.univ-grenoble-alpes.fr/madidea/mspl-2018-2019/blob/master/Projet/L3-MIAGE-MSPL-MADIDE-PHAN.pdf
+|6|2| 10:28| Fall Ayy / Sagara Idriss  | Performance étudiants| https://gricad-gitlab.univ-grenoble-alpes.fr/sagarai/MSPL | https://gricad-gitlab.univ-grenoble-alpes.fr/sagarai/MSPL/blob/master/Projet/ProjetR_Student_performance.Rmd
+|7|2| 10:35| Mathieu Yacine / Martins Benoit | Taux de chomage | https://gricad-gitlab.univ-grenoble-alpes.fr/mathieya/mspl-2018-2019 | https://gricad-gitlab.univ-grenoble-alpes.fr/mathieya/mspl-2018-2019/blob/master/Projet/Projet_Stats_MARTINS_MATHIEU.pdf
+|8|2| 10:42| Diagne Khadidiatou / Thiam Cheikh | Fifa-sport |https://gricad-gitlab.univ-grenoble-alpes.fr/diagnek/mspl-2018-2019 | CF mail
+|9|2| 10:49| Sajides Soufiane / Bernes Jules | Evolution des crimes en France| https://gricad-gitlab.univ-grenoble-alpes.fr/bernesj/mspl-2018-2019 | https://gricad-gitlab.univ-grenoble-alpes.fr/bernesj/mspl-2018-2019/blob/master/Activities/Project/script.pdf
+|10|1| 08:00| Jlassis Imene / Kadidiatou Coulibaly | Taux de Chômage | https://gricad-gitlab.univ-grenobles-alpes.fr/coulikb/mspl-2018-2019 |
+|11|1| 08:07| Romain Baills / Firsov Oleksandr | Google play store |https://gricad-gitlab.univ-grenoble-alpes.fr/baillsr/mspl-2018-2019 | 
+|12|1| 08:14| Khadir Mehdi / Zouir Yamini | Accident corporel de la circulation | https://gricad-gitlab.univ-grenobles-alpes.fr/khadirm/mspl-2018-2019 | https://gricad-gitlab.univ-grenoble-alpes.fr/khadirm/mspl-2018-2019/blob/master/projet/projet_stat_Mehdi_Zoher.pdf
+|13|1| 08:21| Jolan Daumas / Blaye Thibault | Kickstatrter | https://gricad-gitlab.univ-grenobles-alpes.fr/daumasj/mspl-2018-2019 | https://gricad-gitlab.univ-grenoble-alpes.fr/daumasj/mspl-2018-2019/blob/master/Projet/L3-MIAGE-MSPL-DAUMAS-BLAYE.html
+|14|2| 10:56| Jovanovic Loic / Mourthadhoi Sultan | Les jeux olympiques | https://gricad-gitlab.univ-grenobles-alpes.fr/mourthas/mspl-2018-2019 | https://gricad-gitlab.univ-grenoble-alpes.fr/mourthas/mspl-2018-2019/blob/master/Projet/L3-MIAGE-MSPL-MOURTHADHOI-JOVANOVIC.pdf
+|15|?| 08:28| Lucille Guillaume / Cedric Hannequin | Etude films | https://gricad-gitlab.univ-grenoble-alpes.fr/guillalu/mspl-2018-2019 | https://gricad-gitlab.univ-grenoble-alpes.fr/guillalu/mspl-2018-2019/blob/master/Projet/L3-MIAGE-MSPL-Hannequin-Guillaume.pdf.
+|16|?| 08:35| Hanh Do / ??? | Changements climatiques | https://gricad-gitlab.univ-grenoble-alpes.fr/dothit/mspl-2018-2019 |https://gricad-gitlab.univ-grenoble-alpes.fr/dothit/mspl-2018-2019/blob/master/Projet/L3-MIAGE-MSPL-DO-CISSE/L3-MIAGE-MSPL-DO-CISSE.pdf
+|17|?| 08:42| Emre AYDIN / elhadj amadou korka bah | ?? | https://gricad-gitlab.univ-grenoble-alpes.fr/aydine/mspl-2018-2019/ | https://gricad-gitlab.univ-grenoble-alpes.fr/aydine/mspl-2018-2019/blob/8a8dbdebabd466f48e059db6f7f1c2f580124066/Projet/L3-MIAGE-MSPL-Aydin-Elhadj.pdf
+|18|?| 09:00| Mathis Ruffieux | Rejet de CO2 & dérèglement climatique | https://gricad-gitlab.univ-grenoble-alpes.fr/ruffieum/mspl-2018-2019 | https://gricad-gitlab.univ-grenoble-alpes.fr/ruffieum/mspl-2018-2019/blob/master/L3-MIAGE-MSPL-RUFFIEUX.Rmd
+|19|?| 09:07| Massinissa Bitous / BOUAZIZ Lamine | Taux de suicide en France | ?? | https://gricad-gitlab.univ-grenoble-alpes.fr/bitousm/projetstatfinal/blob/master/L3-MIAGE-MSPL-Bouaziz_Bitous.pdf
+|20|?| 09:14|  Belahadji Ilyes / ElBahraoui Imade | Niveaux scolaire | https://gricad-gitlab.univ-grenoble-alpes.fr/belahadi/ | https://gricad-gitlab.univ-grenoble-alpes.fr/belahadi/projet-stat/blob/master/L3-MIAGE-MSPL-Belahadji-ElBahraoui._Rapport_Stats.Rmd
+|21|?| 09:21| PERRIN Alexandre / MENDES Julien | Jeux vidéos | https://gricad-gitlab.univ-grenoble-alpes.fr/perrinal/mspl-2018-2019/  | https://gricad-gitlab.univ-grenoble-alpes.fr/perrinal/mspl-2018-2019/blob/master/PROJET/L3-MIAGE-MSPL-PERRIN-MENDES.pdf
+|22|?| 09:28| Tariq HASDI | Films | ??? | CF mail
+|23|?| 09:35| Abderrahmane Bekkouch / Soufiane Kabad | Nombre Enteprise |   https://gricad-gitlab.univ-grenoble-alpes.fr/bekkouca/mspl-2018-2019 | https://gricad-gitlab.univ-grenoble-alpes.fr/bekkouca/mspl-2018-2019/blob/master/Projet%20MSPL/Projet2019-AB-SK.pdf
+|24|?| 10:56| Lamine Imad Eddine / Housbane Soraya | Éducation dans le monde |  https://gricad-gitlab.univ-grenoble-alpes.fr/laminei/mspl-2018-2019 |  https://gricad-gitlab.univ-grenoble-alpes.fr/laminei/mspl-2018-2019/blob/master/LAMINE_HOUSBANE/Rapport.pdf

README.md

@@ -5,6 +5,32 @@ Modèles statistiques et Programmation Lettrée Licence MIAGE3 2018-2019
 Welcome to the Literate Programming public repository, part of the
 Miage L3.
 
+## Final Project
+
+Le mini-projet, à faire en binome,  doit être rendu le **29 mars avant minuit**,
+
+sur le git dans un dossier spécifique intitulé Projet contenant le fichier R markdown (Rmd), le fichier pdf généré par knitr, les données auxiliaires si besoin)
+utiliser L3-MIAGE-MSPL-Nom1-Nom2.* comme nom de fichiers.
+
+Vous devez nous signaler que les fichiers ont été déposés par un mail à l'attention de 
+
+Jean-Marc.Vincent@univ-grenoble.fr et Adrien.Faure@inria.fr
+
+entête du message : [L3-MIAGE:MSPL] mini-projet Nom1 Nom2
+
+Corps du message : (en plus du contenu traditionnel)
+
+lien vers le Rmd
+
+lien vers le pdf
+
+adresse d'envoi : etu.univ-grenoble-alpes.fr
+
+Nous envisageons une
+présentation "ultra-courte" (5 minutes) pour convaincre le mardi 2 avril.
+
+- [Specification of the **Mini-Projet**](./Project.espec.md)
+
 The course is organized by sessions mixing fundamentals and activities
 
 ## Fundamentals
@@ -22,12 +48,13 @@ The course is organized by sessions mixing fundamentals and activities
 3. [Using RStudio for running a Statistical Analysis](./TD3.espec.md)
 4. [Combining RStudio and The Grammar of Graphics (of ggplot2)](./TD4.espec.md)
 5. [Data Manipulation with dplyr](./TD5.espec.md)
-6. [Galilée et le Paradoxe du Duc de Toscane](./TD6.espec.md)
-7. [Hypothesis Test : le Paradoxe du Duc de Toscane (la suite)](./TD7/TD7.Rmd)
+<!-- 6. [Galilée et le Paradoxe du Duc de Toscane](./TD6.espec.md) -->
+<!-- 7. [Hypothesis Test : le Paradoxe du Duc de Toscane (la suite)](./TD7/TD7.Rmd) -->
 
 ## Additional resources
 
 - [RStudio Cheat Sheets](https://www.rstudio.com/resources/cheatsheets/)
+- [Interesting approach to understand ggplot2](https://evamaerey.github.io/ggplot_flipbook/ggplot_flipbook_xaringan.html#1)
 
 ## Contact Information