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1. Wrangle_and_Analyze_Twitter_DataWrangle_and_Analyze_Twitter_DataPublic

   Gathered, assessed and cleaned the twitter data of WeRateDogs account. Documented the wrangling efforts, the insights and the produced visualizations.

   Jupyter Notebook 2

2. Investigate-Titanic-DatasetInvestigate-Titanic-DatasetPublic

   Posed several questions about the Titanic dataset, then used NumPy, Pandas, SciPy and Matplotlib to answer the questions based on the data and created a report to share the results.

   Jupyter Notebook

3. Prosper-Loan-ExplorationProsper-Loan-ExplorationPublic

   Investigated a dataset from PROSPER lending platform using R and exploratory data analysis techniques, exploring both single variables and relationships between variables.

   HTML

4. Wrangle-OpenStreetMap-DataWrangle-OpenStreetMap-DataPublic

   Used data munging techniques to assess the quality of Liverpool OpenStreetMap dataset for validity, accuracy, completeness, consistency and uniformity. (Python, SQL, data verification, data cleaning)

   Python 1

5. Milwaukee_Bucks_17_18_Tableau_StoryMilwaukee_Bucks_17_18_Tableau_StoryPublic

   Created a data visualization tableau story that compares the stats of the Milwaukee Bucks 17/18 team with teams that managed to win a playoff series in the last decade.

6. Test-a-Perceptual-PhenomenonTest-a-Perceptual-PhenomenonPublic

   Analyzed the Stroop effect using descriptive statistics to provide an intuition about the data, and inferential statistics to draw a conclusion based on the results.