# WEEK 3 (30-4/12/20)
## Descriptive Statistics (Mon, 30/11/20)
### Types of data
*Qualitative contains:
*Categorical which contains:
*Nominal (categories have no connection with each other), Ordinal(categories can be ranked)
*Dichotomous: only 2 categories (M or F)

==**Descriptive vs Inferential Statistics**==
* Descriptive: describe sample, no conclusion drawn
* Inferential: hypothesis testing, draw conclusion about populaiton

==**Descriptive Statistics**==
**1. Central Tendency**: identifies a single value as a representative of an entire data
* Mean (Arithmetic mean): average
* Median: the middlemost number in a sorted set of data
* Mode: value that appears the most in a set of data (Bimodal: set of data that has 2 modes)

==**Ad and Dis of Mean, Median, Mode**==

**2. Dispersion**: describe how scattered the values are and how much they differ from the mean value
* Range
* Quartiles: values that break down the dataset into quarters
* IQR: Q3-Q1, describes the middle 50% of values
* Outliers: values that are far from the middle
* Variance: average of the squared differences from the mean
* Standard deviation: Square root of variance

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## (Tue, 1/12/20)
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## (Wed, 2/12/20)
### Data Visualization
**==Purpose of data visualization==**: to extract insights, make sense of the data

**==Types of data==**
1. Qualitative (Categorical)
2. Quantitative (Discrete vs Continuous)

**==Types of visualization==**
* **Univariate**: describe 1 variable only
* Histogram: distribution of data
* Box whisker plot
* Bar chart
* Pie chart
* Line plot
* **Bivariate**: show relationship between 2 variables
* Scatter plot
* Heat map
* **Mulivariate**:multiple variable
* Breakdown dimension

**==Anatomy of a figure==**
**==canvas--->figure--->axes==**

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## (Thu, 3/12/20)
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## Module Test (Fri, 4/12/20)
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