Skip to content
This repository has been archived by the owner on Jun 1, 2023. It is now read-only.

ironhacks/spring-2017-analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 

Repository files navigation

Analysis Spring 2017

Data Storage

All data are stored in Box

Path to Raw Data

/Users/USERNAME/Box/NSF IronHacks App 2016 - 2019/05 Experiments 2017/01 Hack Spring 2017/01 Summary Spring 2017/02 Data/raw-data

Path to Processed Data

/Users/USERNAME/Box/NSF IronHacks App 2016 - 2019/05 Experiments 2017/01 Hack Spring 2017/01 Summary Spring 2017/02 Data/processed-data

Data Descriptives

Data-Frame-Spring-2017(Scores,LOC,Survey,D3).ipynb

Description: Data Frames for Scores, LOC, Surveys and D3 Components. The global variable for the data frame is stored in this notebook.

Link to Notebook: https://github.com/ironhacks/analysis-2017/blob/main/spring-2017/script/analysis/Data-Frame-Spring-2017(Scores%2CLOC%2CSurvey%2CD3).ipynb

Correlations-Charts(Scores,LOC,D3, Surveys).ipynb

Description: This notebook contains the correlation charts for the scores, LOC, D3 and surveys.

Link to Notebook: https://github.com/ironhacks/analysis-2017/blob/main/spring-2017/script/analysis/Correlations-Charts(Scores%2CLOC%2CD3%2C%20Surveys).ipynb

BoxPlots-LineCharts-BarCharts(Scores,LOC,D3,Survey).ipynb

Description: This notebook contains all the box plots, line charts and bar charts for scores, LOC, D3 and survey.

Link to Notebook: https://github.com/ironhacks/analysis-2017/blob/main/spring-2017/script/analysis/BoxPlots-LineCharts-BarCharts(Scores%2CLOC%2CD3%2CSurvey).ipynb

Clicks-Analysis(Graphs,Descriptive-Analysis).ipynb

Description: This notebook contains the click analysis in the form of graphs such as time line plot and exporatory descriptive analysis.

Link to Notebook: https://github.com/ironhacks/analysis-2017/blob/main/spring-2017/script/analysis/Clicks-Analysis(Graphs%2CDescriptive-Analysis).ipynb

ANOVA-FA-PCA(Scores).ipynb

Description: This notebook contains the ANOVA for all the score variables, the preliminary PCA and FA results in Python version.

Link to Notebook: https://github.com/ironhacks/analysis-2017/blob/main/spring-2017/script/analysis/ANOVA-FA-PCA(Scores).ipynb

Dataframe-Functional-Similarity.ipynb

Description: This notebook contains the dataframe for the functional similarity with Jaccard metrics.

Link to Notebook: https://github.com/ironhacks/analysis-2017/blob/main/spring-2017/script/analysis/Functional-Similarity.ipynb