Update README.md

Author: jfparie

README.md

@@ -4,7 +4,7 @@
 
 Python implementation of the R package [synthpop](https://cran.r-project.org/web/packages/synthpop/index.html).
 
-The R implementation of synthpop is a tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the dataset. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models.
+This library produces synthetic versions of tabular data containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the dataset. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models.
 
 This is a reimplementation in Python which allows synthetic data to be generated via the method .generate() after the algorithm had been fit to the original data via the method .fit(). The process can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthetic data.
 
@@ -46,12 +46,12 @@ Out[2]:
 4   28            Private  338409   Bachelors               13   Married-civ-spouse      Prof-specialty            Wife   Black   Female             0             0              40            Cuba   <=50K
 ```
 
-### synthpop
+### python-synthpop
 
 Use default parameters for the Adult dataset:
 
 ```
-In [1]: from synthpop import Synthpop
+In [1]: from python-synthpop import Synthpop
 
 In [2]: from datasets.adult import df, dtypes
 
@@ -161,7 +161,7 @@ income             1          1       1          1                1
 ### Define the visit sequence for the Adult dataset:
 
 ```
-In [1]: from synthpop import Synthpop
+In [1]: from python-synthpop import Synthpop
 
 In [2]: from datasets.adult import df, dtypes
 
@@ -226,5 +226,4 @@ workclass         1          0       0          0               0
 fnlwgt            1          1       0          1               1
 education         1          1       0          0               1
 marital-status    1          1       0          0               0
-```
-
+```