dataquest | Learning dataquest missions

dataquest is a HTML library. dataquest has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

entertainmentenvironmentgovernment policy and planninginformation technologysecurities and financesports and recreationtransportation. foundations of python and programming, including modules, enumeration, indexing, scopes, object-oriented programming, lambda functions, and exception handling. includes: employed basic python syntax on star wars script data to determine which character speaks most often. use of python to read/ parse a raw dataset, convert data types, apply if statements, and apply for loops in order to find which us city has the lowest rate of violent crime. application of python functions to parse data, apply if statements, and create a dictionary in order to calculate the frequency of different weather conditions in los angeles. use of python functions which tokenize string data, check for syntax and index errors, and normalize data dictionaries in order to provide a check for spelling errors within text data. employed modules and classes in python to determine the number of wins for an american national football league (nfl) team using data from 2009 to 2013. use of the enumerate function, list comprehensions, try/ except blocks, and the none type in python, while finding the most common names for us congressman/ congresswomen. application of python functions to create a 'while' loop, use the 'break' keyword, and add named and optional arguments to a function in order to find which us airlines experience the most