Commit 3fed5d42 by Tarun Shrivas

spelling changed

parent 2a4be933
......@@ -5,7 +5,7 @@ Copyright (c) 2016 - 2019
**<span style="color:#E57932">Level:</span>** Intermediate <br/>
**<span style="color:#E57932">Recommended Use:</span>** Classification Models<br/>
**<span style="color:#E57932">Domain:</span>** Social<br/>
**<span style="color:#E57932">Domain:</span>** Social<br/>
## Census Income Data Set
......@@ -14,14 +14,14 @@ Copyright (c) 2016 - 2019
![](rawpixel-557125-unsplash.jpg)
This *intermediate* level data set was extracted from the census bureau database. There are 48842 instances of data set, mix of continuous and discrete (train=32561, test=16281).
This *intermediate* level data set was extracted from the census bureau database. There are 48842 instances of data set, mix of continuous and discrete (train=32561, test=16281).
The data set has 15 attribute which include age, sex, education level and other relevant details of a person. The data set will help to improve your skills in **Exploratory Data Analysis**, **Data Wrangling**, **Data Visualization** and **Classification Models**.
Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set:
### Data Dictionary:
| **Column Position** | **Atrribute Name** | **Definition** | **Data Type** | **Example** | **% Null Ratios** |
| **Column Position** | **Attribute Name** | **Definition** | **Data Type** | **Example** | **% Null Ratios** |
|------------------- |---------------- |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |-------------- |----------------------------------------- |--------------- |
| 1 | age | Age (years) | Quantitative | 38, 42, 71 | 0 |
| 2 | workclass | Workclass 8 different categories: (Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked) | Qualitative | "Private", Local-gov", "Never-worked" | 6 |
......@@ -48,7 +48,7 @@ These are:
2. Controls for Hispanic Origin by age and sex.
3. Controls by Race, age and sex.
We use all three sets of controls in our weighting program and "rake" through them 6 times so that by the end we come back to all the controls we used.
We use all three sets of controls in our weighting program and "rake" through them 6 times so that by the end we come back to all the controls we used.
The term estimate refers to population totals derived from CPS by creating "weighted tallies" of any specified socio-economic characteristics of the population.
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