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Data Science with Python : Exploratory Data Analysis using Python #348

Open prathimacode-hub opened 3 years ago

prathimacode-hub commented 3 years ago

Welcome to 'DSWP' Team, good to see you here

This issue will helps readers in gaining all the guidance that one needs to know about Exploratory Data Analysis using Python. Tutorial to Exploratory Data Analysis using Python and how it's applied using sample code.

To get assigned to this issue, add your serial numbers mentioned in the spreadsheet of "Data Science with Python", the approach one would follow and choice you prefer (Documentation, Audio, Video). You can go with all three or any number of options you're interested to work on.

If you had referred any resources, add them up in "DS Resources". Similarly if you had used datasets, include them in "DS Datasets".

Domain : Data Analysis and Visualization

Mentors Assigned : Shivang Dubey / Dhruv Bajaj

Points to Note :

The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.

"Issue Title" and "PR Title should be the same. Include issue number along with it.

Changes should be made inside the Datascience_With_Python/ directory & Datascience_With_Python branch.

Follow Contributing Guidelines & Code of Conduct before start Contributing.

This issue is only for 'GWOC' contributors of 'DSWP' domain.

All the best. Enjoy your open source journey ahead. 😎

nakshatra-garg commented 3 years ago

I would like to work on this issue

developer-metalhead commented 3 years ago

Hi @prathimacode-hub I would like to be assigned this issue

GopinathBalaji commented 3 years ago

Hello, I am Gopinath Balaji with serial number: 315. I would like to do documentation on this issue.

prathimacode-hub commented 3 years ago

Kindly provide all the details to assign it up. Approach is missing and whoever states it first would get this issue assigned. @GopinathBalaji @developer-metalhead @nakshatra-garg

GopinathBalaji commented 3 years ago

I have mentioned that I would like to work on the documentation part.

ayushijindal commented 3 years ago

I would like to work on this issue issue title: Exploratory Data Analysis using Python #348 ID:253 documentation format

prathimacode-hub commented 3 years ago

I have mentioned that I would like to work on the documentation part.

Yes, approach in the sense how would you like to proceed with an issue. @GopinathBalaji

nakshatra-garg commented 3 years ago

https://colab.research.google.com/drive/1gP-rr8RPeUuo1Jjwr0gVXWJC6Vkcnzqj?usp=sharing I can work on this issue by explaining this notebook. It uses retail data and has analysis and visualizations serial no. 609

ayushijindal commented 3 years ago

Kindly provide all the details to assign it up. Approach is missing and whoever states it first would get this issue assigned. @GopinathBalaji @developer-metalhead @nakshatra-garg

I would like to work on this issue issue title: Exploratory Data Analysis using Python #348 ID:253 Documentation format (taking dataset and explaining the concept of data processing and data visualization)

developer-metalhead commented 3 years ago

I will write the different steps and approaches of EDA. I will also add the code to the documentation. I am Kumar Satwik with serial number:160

GopinathBalaji commented 3 years ago

Kindly provide all the details to assign it up. Approach is missing and whoever states it first would get this issue assigned. @GopinathBalaji @developer-metalhead @nakshatra-garg

I would like to explain the process of EDA in detail. To name a few, the steps that I would include are: getting the dataset, data cleaning, deal with missing values, etc.

Adi7171 commented 3 years ago

I am Aditya serial no: 92 I would take up a dataset from Kaggle and then I would do appropriate changes to data using NumPy , pandas and then visualize it using matplotlib and write comments regarding it. I will be making documentation.

Issue: Exploratory Data Analysis using Python #348 @prathimacode-hub

subhendudash02 commented 3 years ago

Hi @prathimacode-hub I would like to work on this issue. Serial number: 297 Documentation format Issue: Exploratory Data Analysis using Python #348

ashish-reddy-20-08 commented 3 years ago

Hello, I am M. Ashish Reddy with serial number:174. I would like to do documentation on this issue. My approach would be the various steps in EDA like outlier analysis, missing values, and the first-moment business decision and then at last I would also be discussing feature engineering.

deepthi1107 commented 3 years ago

Hello, I am Deepthi M with a serial number:172. I would like to do an audio presentation on this issue. I will add how important to do EDA and related code to EDA

vanshhhhh commented 3 years ago

Hello, I would like to contribute in the documentation of this topic. My approach would be to analyze datasets to summarize their main characteristics, with visual methods. I will cover Data Collection, Data Cleaning, Data Preprocessing, Data Visualization.

Vansh Sharma (Serial Number : 680, DS-Python Batch 18)

prathimacode-hub commented 3 years ago

@deepthi1107 @ashish-reddy-20-08, you both already have an issue assigned. You can work on only 1 issue at a time.

@nakshatra-garg, sorry to say but I couldn't open your link provided. @ayushijindal, next on queue, documentation part is assigned to you.

Others, if you're into Audio/Video. Let me know to get yourself assigned. @nakshatra-garg @developer-metalhead @GopinathBalaji @Adi7171 @subhendudash02 @vanshhhhh

If you'couldn't grab an issue, they are plenty number of issues arriving. Don't get disheartened.

ayushijindal commented 3 years ago

@deepthi1107 @ashish-reddy-20-08, you both already have an issue assigned. You can work on only 1 issue at a time. @nakshatra-garg, sorry to say but I couldn't open your link provided. @ayushijindal, next on queue, documentation part is assigned to you. Others, if you're into Audio/Video. Let me know to get yourself assigned.

If you'couldn't grab an issue, they are plenty number of issues arriving. Don't get disheartened.

THANK YOU for assigning me this issue

rajveer43 commented 3 years ago

I would like to work on this issue Batch 15

nakshatra-garg commented 3 years ago

I've made a video on exploratory data analysis in the past. Will this video mentioned below will be fine? https://www.youtube.com/watch?v=q6oCG1aNVk8

@prathimacode-hub

AnnikaD0104 commented 3 years ago

I would like to work in this issue serial no 147

ayushijindal commented 3 years ago

update on documentation Serial no: 253 I am using the breast cancer dataset to perform EDA and soon the documentation will be ready mentor:@DhruvBajaj01 / @ShivangDubey

Aaksha-sharma commented 3 years ago

I want to contribute in this issue

shivangdubey commented 3 years ago

update on documentation Serial no: 253 I am using the breast cancer dataset to perform EDA and soon the documentation will be ready mentor:@DhruvBajaj01 / @shivangdubey

Do add the resources in the Resource folder.

DhruvBajaj01 commented 3 years ago

I will be mentoring and reviewing this issue

shripaddhopate commented 3 years ago

I would be glad to work on this issue. Name : Shripad Dhopate Batch : 21 Type : Documentation , Video Serial No: 930

ApoorvYdv commented 3 years ago

Hello, I am Apoorv Yadav with serial number: 537. I would like to do documentation on this issue.

prathimacode-hub commented 3 years ago

I've made a video on exploratory data analysis in the past. Will this video mentioned below will be fine? https://www.youtube.com/watch?v=q6oCG1aNVk8

@prathimacode-hub

That's awesome but can you do it again? If you are upto, I shall assign you for video? @nakshatra-garg

nakshatra-garg commented 3 years ago

Yes, I can do it again. @prathimacode-hub

Ruchika-20 commented 3 years ago

I would love to work on this issue. My approach regarding this issue will be description of the issue which will include definition, real world applications , code and all other necessary explaination part. Name : Ruchika Singh Batch : 10 Type : Documentation Serial No: 331

prathimacode-hub commented 3 years ago

Issue assigned to @nakshatra-garg for video contribution