Table of contents TL;DR I specify the software versions that I used for the analysis of the EU industry production dataset and provide links to the Github repository where the Jupyter notebooks are stored. Project Background For the analysis of the EU industry production dataset that is summarized here, I made use of various software…
Table of contents TL;DR I discuss the scope of the analysis of the EU industry production dataset and point to possible extensions with additional datasets. Long Description In the previous study I found that geography is an important factor for characterizing the industry production growth of EU countries. However, this leaves more questions open than…
Table of contents TL;DR I give a high-level description and discussion of the projects in this portfolio that deal with the analysis of the EU industry production dataset, from finding the data to possible next steps. Long Description In this report, I cover all the way from identifying a dataset on the EU countries’ industry…
Table of contents TL;DR I use the visualization of the EU countries’ manufacturing growth rate with a pandas/matplotlib bar chart to show that the performance mostly depends on geographical position: the East beats the South. Long Description In the previous project, I plotted the growth dynamics of the EU countries’ industry production manufacturing branch, measured…
Table of contents TL;DR I use pandas’ interface to the matplotlib library to create bar charts that visualize the manufacturing growth dynamics of European countries. Long Description I read in the dataframe that contains the slope and intercept parameter values from the linear regression with scikit-learn that I performed in the last project. Using the…