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Update README.md

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`‎README.md‎`

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`@@ -10,9 +10,12 @@ This project was part of IBM Data Science certificate. https://www.coursera.org/`
`10`	`10`
`11`	`11`	`We improved the initial Notebook with better graphs. <br> We used a map of Canada and contour as a mask for the word cloud: immigration main countries of origin.`
`12`	`12`
`13`		`-\| Waffle Chart \| Word Cloud \|`
	`13`	`+\| <palign="center"> <imgsrc="Canada_immigration_waffle.png"width="350" /> </p> \| <palign="center"> <imgsrc= "Canada_immigration_wordcloud.png"width="350" /> \|`
`14`	`14`	`\| --- \| --- \|`
`15`		`-\| <p align="center"> <img src="Canada_immigration_waffle.png" width="350" /> </p> \| <p align="center"> <img src= "Canada_immigration_wordcloud.png" width="350" /></p>\|`
	`15`	`+\| <p align="center"><b> Waffle Chart </b></p> \| <p align="center"><b> Word Cloud </b></p> \|`
	`16`	`+`
	`17`	`+`
	`18`	`+`
`16`	`19`
`17`	`20`
`18`	`21`	`#### [Waffle charts, Word cloud - Jupyter Notebook](https://github.com/DrStef/Data-Visualization-with-Python/blob/main/Waffle-Charts-Word-Clouds-and-Regression-Plots-v2.ipynb)`
`@@ -27,10 +30,9 @@ Maps with markers: Visualizing features of San Francisco crime dataset. <br>`
`27`	`30`	`Maps with choropleth: Visualizing countries of origin, Canadian Immigration dataset. <br>`
`28`	`31`
`29`	`32`
`30`		`-`
`31`		`-\| Folium with markers \| Choropleth \|`
`32`		`-\| --- \| --- \|`
`33`	`33`	`\| <p align="center"> <img src="Crime_SF_folium_v02.png" width="350" /> </p> \| <p align="center"> <img src= "Choropleth_can_immigration.png" width="350" /></p>\|`
	`34`	`+\| --- \| --- \|`
	`35`	`+\| <p align="center"><b> Folium with markers </b> </p> \| <p align="center"><b> Choropleth </b> </p> \|`
`34`	`36`
`35`	`37`
`36`	`38`	`#### [Maps: Folium - Choropleth - Jupyter Notebook](https://github.com/DrStef/Data-Visualization-with-Python/blob/main/Generating-Maps-with-Python_v2.ipynb)`

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