2020 © Method Matters Blog

- API (1)
- Accupedo (6)
- Anscombe's Quartet (1)
- Bayesian statistics (1)
- Belgium (1)
- DOOM (1)
- FactoMineR (1)
- Fitbit (3)
- Leuven (1)
- Likert (1)
- MF DOOM (1)
- NHST (2)
- PCA (1)
- Pitchfork (5)
- Python (1)
- Quanteda (1)
- R (21)
- Twitter (1)
- Twitter bot (1)
- Vilvoorde (1)
- band names (1)
- beverages (2)
- bi-plot (1)
- blog (1)
- bot (1)
- cluster analysis (1)
- consumer perceptions (2)
- control structures (1)
- convergent validity (2)
- crime statistics (1)
- data analysis (17)
- data cleaning (1)
- data collection (1)
- data gathering (1)
- data management (2)
- data munging (5)
- data science interviews (1)
- data visualization (10)
- deep learning (1)
- ensemble learning (2)
- exploratory data analysis (8)
- fitbitr (1)
- fizz buzz (1)
- fizzbuzz (1)
- for loop (1)
- functions (1)
- ggplot2 (4)
- github (1)
- graphs (5)
- heart rate (1)
- hip hop (1)
- id3 (2)
- if else statement (1)
- jekyll (1)
- keras (1)
- lasso regression (2)
- lmer (1)
- lyrics (1)
- machine learning (1)
- market mapping (1)
- meta data (2)
- mp3 (2)
- multi-level modeling (1)
- music (7)
- music genres (4)
- music reviews (5)
- nas (1)
- neural networks (2)
- open data (1)
- p-values (1)
- pandas (1)
- phone usage (2)
- predictive modeling (4)
- programming (1)
- python (11)
- r-bloggers (1)
- random forests (3)
- rap (1)
- regression (1)
- rnn (1)
- rss (1)
- ruby (1)
- safety (1)
- sentiment analysis (1)
- significance testing (1)
- simulation (1)
- sleep (1)
- statistical inference (1)
- statistical power (1)
- statistical significance (2)
- statistics (6)
- step count (3)
- t-SNE (1)
- t-test (1)
- tensorflow (1)
- text analysis (6)
- tidy data (4)
- tidytext (2)
- visualization (3)
- weather (1)
- wine (4)
- word2vec (1)
- wordclouds (1)

Downloading Fitbit Data Histories with R
| 06 Jun 2019

Analyzing Accupedo step count data in R: Post-Script
| 09 Feb 2017

Analyzing Accupedo step count data in R
| 21 Jan 2017

Anscombe's Quartet: 1980's Edition
| 07 Jan 2018

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Downloading Fitbit Data Histories with R
| 06 Jun 2019

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Useless P-Values: The Twitter Bot
| 10 May 2020

Linguistic Signals of Album Quality: A Predictive Analysis of Pitchfork Review Scores Using Quanteda
| 10 Jan 2019

Using Recurrent Neural Nets to Generate Band Names
| 28 Nov 2018

Sentiment Use Across the Course of Pitchfork Music Reviews: A Tidy Text Analysis with R
| 06 Jun 2018

Useless P-Values: The Twitter Bot
| 10 May 2020

Linguistic Signals of Album Quality: A Predictive Analysis of Pitchfork Review Scores Using Quanteda
| 10 Jan 2019

Downloading Fitbit Data Histories with R
| 06 Jun 2019

FizzBuzz in R and Python
| 21 Apr 2019

Linguistic Signals of Album Quality: A Predictive Analysis of Pitchfork Review Scores Using Quanteda
| 10 Jan 2019

Sentiment Use Across the Course of Pitchfork Music Reviews: A Tidy Text Analysis with R
| 06 Jun 2018

Anscombe's Quartet: 1980's Edition
| 07 Jan 2018

Clustering Music Genres with R
| 07 Dec 2017

Showing Some Respect for Data Munging
| 01 Aug 2017

Analyzing Accupedo step count data in R
| 21 Jan 2017

Useless P-Values: The Twitter Bot
| 10 May 2020

Useless P-Values: The Twitter Bot
| 10 May 2020

Using Recurrent Neural Nets to Generate Band Names
| 28 Nov 2018

Showing Some Respect for Data Munging
| 01 Aug 2017

Useless P-Values: The Twitter Bot
| 10 May 2020

Clustering Music Genres with R
| 07 Dec 2017

Showing Some Respect for Data Munging
| 01 Aug 2017

FizzBuzz in R and Python
| 21 Apr 2019

Useless P-Values: The Twitter Bot
| 10 May 2020

Sentiment Use Across the Course of Pitchfork Music Reviews: A Tidy Text Analysis with R
| 06 Jun 2018

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Anscombe's Quartet: 1980's Edition
| 07 Jan 2018

Clustering Music Genres with R
| 07 Dec 2017

Analyzing Wine Data in Python: Part 1 (Lasso Regression)
| 10 Apr 2017

Analyzing Accupedo step count data in R: Post-Script
| 09 Feb 2017

Analyzing Accupedo step count data in R
| 21 Jan 2017

Downloading Fitbit Data Histories with R
| 06 Jun 2019

Downloading Fitbit Data Histories with R
| 06 Jun 2019

Editing ID3 Tags (mp3 Meta-Data) in Python
| 12 Feb 2018

Downloading Fitbit Data Histories with R
| 06 Jun 2019

Editing ID3 Tags (mp3 Meta-Data) in Python
| 12 Feb 2018

Showing Some Respect for Data Munging
| 01 Aug 2017

FizzBuzz in R and Python
| 21 Apr 2019

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Anscombe's Quartet: 1980's Edition
| 07 Jan 2018

Using Recurrent Neural Nets to Generate Band Names
| 28 Nov 2018

Clustering Music Genres with R
| 07 Dec 2017

Using word2vec to analyze word relationships in Python
| 06 Nov 2017

Downloading Fitbit Data Histories with R
| 06 Jun 2019

FizzBuzz in R and Python
| 21 Apr 2019

FizzBuzz in R and Python
| 21 Apr 2019

FizzBuzz in R and Python
| 21 Apr 2019

FizzBuzz in R and Python
| 21 Apr 2019

Anscombe's Quartet: 1980's Edition
| 07 Jan 2018

Downloading Fitbit Data Histories with R
| 06 Jun 2019

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Editing ID3 Tags (mp3 Meta-Data) in Python
| 12 Feb 2018

FizzBuzz in R and Python
| 21 Apr 2019

Using Recurrent Neural Nets to Generate Band Names
| 28 Nov 2018

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Using word2vec to analyze word relationships in Python
| 06 Nov 2017

Editing ID3 Tags (mp3 Meta-Data) in Python
| 12 Feb 2018

Editing ID3 Tags (mp3 Meta-Data) in Python
| 12 Feb 2018

Using Recurrent Neural Nets to Generate Band Names
| 28 Nov 2018

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Clustering Music Genres with R
| 07 Dec 2017

Clustering Music Genres with R
| 07 Dec 2017

Clustering Music Genres with R
| 07 Dec 2017

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Using Recurrent Neural Nets to Generate Band Names
| 28 Nov 2018

Using word2vec to analyze word relationships in Python
| 06 Nov 2017

Useless P-Values: The Twitter Bot
| 10 May 2020

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

FizzBuzz in R and Python
| 21 Apr 2019

FizzBuzz in R and Python
| 21 Apr 2019

Using Recurrent Neural Nets to Generate Band Names
| 28 Nov 2018

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Editing ID3 Tags (mp3 Meta-Data) in Python
| 12 Feb 2018

Using word2vec to analyze word relationships in Python
| 06 Nov 2017

Analyzing Wine Data in Python: Part 1 (Lasso Regression)
| 10 Apr 2017

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Using Recurrent Neural Nets to Generate Band Names
| 28 Nov 2018

Useless P-Values: The Twitter Bot
| 10 May 2020

Downloading Fitbit Data Histories with R
| 06 Jun 2019

Useless P-Values: The Twitter Bot
| 10 May 2020

Useless P-Values: The Twitter Bot
| 10 May 2020

Useless P-Values: The Twitter Bot
| 10 May 2020

Useless P-Values: The Twitter Bot
| 10 May 2020

Anscombe's Quartet: 1980's Edition
| 07 Jan 2018

Downloading Fitbit Data Histories with R
| 06 Jun 2019

Using word2vec to analyze word relationships in Python
| 06 Nov 2017

Useless P-Values: The Twitter Bot
| 10 May 2020

Using Recurrent Neural Nets to Generate Band Names
| 28 Nov 2018

Nas vs. DOOM: A Model-Based Text Analysis with Python
| 22 Apr 2018

Using word2vec to analyze word relationships in Python
| 06 Nov 2017

Showing Some Respect for Data Munging
| 01 Aug 2017

Anscombe's Quartet: 1980's Edition
| 07 Jan 2018

Using word2vec to analyze word relationships in Python
| 06 Nov 2017

Analyzing Wine Data in Python: Part 1 (Lasso Regression)
| 10 Apr 2017

Using word2vec to analyze word relationships in Python
| 06 Nov 2017