data_analytics_immersion

This repository contains Jupyter Notebooks from Achievement 6: Advanced Analytics and Dashboard Design. It also includes links to Portafolio and to Tableau Storytelling

This dataset "Global Missing Migrants" provides a comprehensive record of missing migrants and their tragic journeys towards international destinations , collected by the Missing Migrants Project, an initiative implemented by the International Organization for Migration (IOM) since 2014. The dataset documents deaths and disappearances, shedding light on the challenges migrants face during their journeys. Please note that due to the complexities of data collection, the figures presented are likely an undercount. The dataset serves as a tribute to the individuals who lost their lives, as well as the families and communities impacted by their absence.

Jupyter Notebooks

This repository contains Jupyter noteboos used in the Data Analysis exercises in chapter 6

Exercises includes the following activities:

Data cleaning:
-Handling missing Values
-Removing Duplicates
-Datatype Issues

Correlation Charts:
-Correlation Matrix

Geographic Visualization:
-Data wrangling
-Data cleaning -Ploting and Choropleth

Regression:
-Regression with differents variables

Machine Learning Part 2:
-The elbow technique
-k-means clustering

Sourcing & Analyzing Time-Series Data:
-Subsetting, wrangling, and cleaning time-series data -Time series analysis: decomposition -Testing for stationarity -Stationarizing the Federal Reserve Economic Data

Link to Data Visualization: https://public.tableau.com/app/profile/marcia.hereida/viz/Immigrants_17244953467830/Immigrants?publish=yes

Portafolio
PDF File contains the Portafolio

Sourcing Open Data
Please Read PDF file "Exercise 6.1.pdf"