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In this project, we analyzed the data of the COVID-19 pandemic, which started in the first month of 2020 and still continues to affect the world, on the basis of countries. You can find the brief details of the project we realized in 3 stages in the readme file. We have tried to explain the details of the project step by step below. We wish you healthy days.\n\n## Covid-19-Data-Analysis-Visualization 1\n\nFirst, we will download the libraries we will use.\n\n`!pip install folium -- !pip install plotly`\n### import\n``` Python\nimport plotly.express as px\nimport plotly.graph_objects as go\nimport plotly.figure_factory as ff\nfrom plotly.subplots import make_subplots\n\nimport folium\n\nimport pandas as pd \nimport numpy as np\nimport matplotlib.pyplot as plt\n\n%matplotlib inline\n\nimport math \nimport random\nfrom datetime import timedelta\n\nimport warnings \nwarnings.filterwarnings('ignore')\n```\n### After importing our libraries, we defined our dataset.\n```!git clone https://github.com/laxmimerit/Covid-19-Preprocessed-Dataset```\n\n### Total number of covid-19 cases in the world\n\n![Total number of covid-19 cases in the world](https://user-images.githubusercontent.com/63750425/151665566-712196f4-5789-4e33-aee6-fa56c3b6dc1b.png)\n\n### Total number of covid-19 deaths in the world\n\n![Total number of covid-19 deaths in the world](https://user-images.githubusercontent.com/63750425/151666393-21eb486f-2c87-45a4-b791-f22624d45306.png)\n\n##  Covid-19-Data-Analysis-Visualization 2\n\n### Confirmed Cases with Choropleth Map\n\n![Confirmed Cases with Choropleth Map](https://user-images.githubusercontent.com/63750425/151666566-34003976-59f4-40f6-9166-794e557e6c89.png)\n\n### Confirmed and Detah Cases with Static Colormap\n\n![newplot (5)](https://user-images.githubusercontent.com/63750425/151666603-80d5d570-22dc-492d-8418-f16fc64225ad.png)\n\n## Covid-19-Data-Analysis-Visualization 3\n\n### Line Plot\n\n![Line Plot](https://user-images.githubusercontent.com/63750425/151666876-ca2adeea-5b08-47ed-b90a-483c0663640a.png)\n\n### Growth Rate after 100k Cases\n\n![Growth Rate after 100k Cases](https://user-images.githubusercontent.com/63750425/151666973-1ff87547-9456-4277-90a2-dd292c6ac487.png)\n\n\n### Tree Map Analysis\n\n### Deaths Cases\n\n![Deaths Cases](https://user-images.githubusercontent.com/63750425/151667008-8f8422a2-d42a-4042-b77e-494dee9e7060.png)\n\n### Covid-19 vs Other Similar Epidemics\n\n![Covid-19 vs Other Similar Epidemics](https://user-images.githubusercontent.com/63750425/151667063-d9afacc8-14cf-4952-a78e-24960db158bc.png)\n\nWe tried to show some important and striking graphics in our project above. You can find all the files of our first project in our data science journey in the github repo.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyusufcinarci%2Fcovid-19-data-analysis-visualization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyusufcinarci%2Fcovid-19-data-analysis-visualization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyusufcinarci%2Fcovid-19-data-analysis-visualization/lists"}