Blog Archives

A journey into the unknown with Tech Leaders

In my previous post I mentioned that I got into Tech Leaders program. Now, after a few months I would like to relate my experiences of doing something unbelievable, which I’ve never thought I will be able to do. Tech

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Posted in learning

Mars Craters Research Project #4: Visualizing Data

This study shows graphically the distribution of crater morphologies, crater location plot and relationship between diameter and depth of a crater. The Python program below should call the graphs, but unfortunately it is impossible due to traceback error (the matplot.pyplot

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Posted in data analysis, python

Mars Craters Research Project #3: Managing Data

There were 3 variables worked out in this Python program: diameter of a crater (DIAM_CIRCLE_IMAGE), depth (DEPTH_RIMFLOOR_TOPOG) and ejecta morphologies (MORPHOLOGY_EJECTA_1, MORPHOLOGY_EJECTA_2). Below you can find the output of this program: counts and percentages for chosen variables. To have better organized

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Posted in data analysis, python

Mars Craters Research Project #2: Running the First Program

All observed craters on Mars were investigated in terms of several characteristics, like ejecta morphology, depth of the crater or number of layers. This Python program prints frequency distributions for 3 above mentioned variables: MORPHOLOGY_EJECTA_1, DEPTH_RIMFLOOR_TOPOG and NUMBER_LAYERS. Below you can

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Posted in data analysis, python

Mars Craters Research Project #1: Getting Started

This project is a Data Management and Visualization course assignment. All sources were made available by Wesleyan University on Coursera and were created on the basis of Planetary Surface Properties, Cratering Physics, and the Volcanic History of Mars from a New Global

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Posted in data analysis, python