Alice/my_digital_garden
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity
my_digital_garden/content/DAA/PL - Aula 1.md

2.5 KiB
Raw Blame History

21 Setembro 2023 - #DAA

  • Types of Data

    -Numerical

    • Discrete Data ({1,2,3,...})
    • Continuous Data ([1, +$\infty$])

  • Categorical (binary, languages, ...)

  • Ordinal (ratings of 1 to 5)

    *not-scaled **scaled

    #+BEGIN_EXAMPLE - Qual o tipo de dado que representa a quantidade de gasóleo? Numérico: continuous data #+END_EXAMPLE

    [!example]- Qual o tipo de dado que representa a quantidade de gasóleo? Numérico: continuous data

    [!example]- Qual o tipo de dado que representa a nacionalidade? Categórico

    [!example]- Qual o tipo de dado que representa a idade? Numérico: discreto

  • Mean, Median & Mode

  • #+BEGIN_TIP A mean in math is the average of a data set, found by adding all numbers together and then dividing the sum of the numbers by the number of numbers #+END_TIP

  • [!hint]+ A mean in math is the average of a data set, found by adding all numbers together and then dividing the sum of the numbers by the number of numbers.

  • Standard Deviation & Variance

  • Probability Density functions

  • Percentiles

    There are 3 important percentiles:

  • 50% - median

  • 25% - 1st percentile

  • 75% - 3rd percentile

    [!note]+ These 3 percentiles allow the creation of box plot graphs. These specific graphs allow the discovery and presentation of outliers.

  • Covariance & Correlation

    [!hint]+ Covariance measures the direction of a relationship between two variables, while correlation measures the strength of that relationship.

    Covariance is hard to interpret, thus correlation is used instead. In a dataset, correlations >0.5 are considerable.

    [!caution] Correlation does not mean causation!

  • Practical session of the class: miniconda

    IDEs: PyCharm, VS Code, (Jupyter - not recommended)

    Depois de instalar o miniconda, correr os seguintes comandos:

  • conda create --name daaEnv python=3.10

  • conda activate daaEnv

  • python --version

  • conda install pandas

  • conda install xlrd

  • conda install xlwt

  • conda install matplotlib

  • conda install seaborn

  • conda install scikit-learn

  • conda install jupyterlab

  • conda list

  • Resource links

  • https://en.wikipedia.org/wiki/Average

  • https://en.wikipedia.org/wiki/Median

  • https://en.wikipedia.org/wiki/Mode_(statistics)

  • https://en.wikipedia.org/wiki/Standard_deviation

  • https://en.wikipedia.org/wiki/Variance

  • https://en.wikipedia.org/wiki/Probability_density_function

  • https://en.wikipedia.org/wiki/Percentile

  • https://en.wikipedia.org/wiki/Covariance

  • https://en.wikipedia.org/wiki/Correlation