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This project involves parsing corrupted employee data from a CSV file, cleaning it, and storing it in a MySQL database. The program also provides a Data Access Object (DAO) class for performing CRUD operations on the employee data.

active 2024-04-292024-05-03 (UTC)

Complete coverage26,548 / 26,548 hourly files (100%) · 2 absent upstream2023-08-152026-08-25 (UTC)
Events
198
Pushes
74
Pull requests
42
Issues
22
Stars
1
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 5 days from 2024-04-29 to 2024-05-03. Pushes: 74 total, peak 34 in a day. Pull requests: 42 total, peak 27 in a day. Issues: 22 total, peak 10 in a day. Comments: 1 total, peak 1 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Selamkd5626120
BaselessFabric3519150
HowardC04281031
Daniell-Sparta-Bow14740
Alastair-F-Smith13530
moonraghib9710640
irinagall5110
SnakeyNinjaGOAT2000

Recent activity

Latest issues, pull requests and releases

  • Issue#16Selamkd2024-05-03 13:28
    As a client, I want a user friendly interface so that I can efficiently manage employee data
  • Pull request#37BaselessFabric2024-05-03 12:19
  • Pull request#37BaselessFabric2024-05-03 12:19
  • Pull request#36Selamkd2024-05-03 12:06
  • Pull request#36BaselessFabric2024-05-03 12:05
  • Pull request#35Daniell-Sparta-Bow2024-05-03 12:03
  • Issue#10Selamkd2024-05-03 11:38
    As a user, I would like to be able to validate employee first and last names so that I can ensure no corrupted name data is entered into the database
  • Issue#8Selamkd2024-05-03 11:38
    As a user, I would like to be able to validate employee middle initials so that I can ensure no corrupted middle initial data is entered into the database
  • Issue#4Selamkd2024-05-03 11:38
    As a user, I would like to be able to validate Employee Genders so that I can ensure no corrupted Gender data is entered into the database
  • Issue#2Selamkd2024-05-03 11:38
    As a user, I would like to use a DAO to read employee data from a database, so that I can access uncorrupted employee data
  • Issue#5Selamkd2024-05-03 11:38
    As a user, I would like to be able to validate Employee Email so that I can ensure no corrupted Employee Email data is entered into the database
  • Issue#9Selamkd2024-05-03 11:38
    As a user, I would like to be able to validate Employee Salary so that I can ensure no corrupted employee Salary is inserted into the database
  • Issue#7Selamkd2024-05-03 11:38
    As a user, I would like to be able to validate employee prefixes so that I can ensure no corrupted prefix data is entered into the database
  • Issue#6Selamkd2024-05-03 11:38
    As a user, I would like to be able to validate Employee IDs so that I can ensure no corrupted ID data is entered into the database
  • Issue#12Selamkd2024-05-03 11:38
    As a user, I would like to be able to validate Employee Date of Joining is in the YYYY-MM-DD calendar date format so that I can ensure no corrupted employee Date of Joinings are inserted into the database
  • Pull request#35BaselessFabric2024-05-03 11:12
  • Pull request#34Selamkd2024-05-03 10:52
  • Pull request#32Daniell-Sparta-Bow2024-05-03 10:51
  • Pull request#33moonraghib972024-05-03 10:51
  • Pull request#34Selamkd2024-05-03 10:51
  • Pull request#33moonraghib972024-05-03 10:51
  • Pull request#31moonraghib972024-05-03 10:50
  • Pull request#32Selamkd2024-05-03 10:49
  • Issue comment#31HowardC042024-05-03 10:49
    Create README.md
  • Pull request#31moonraghib972024-05-03 10:48

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.