To get high quality singers:

First we have to create a Google sheet. Name it as Project 3. then we have to create 23 sheets. name it from 1992 to 2014. now go to the website and copy the link. then by using importhtml function import the data to all the sheets from 1992 to 2014. create a sheet name it as merged data and copy the data from second row from all the 23 sheets and paste it in merged data. create the column names as Rank, Artist, Title, Year. we will get 2300 rows. now create a new google sheet name it as prolific-1. to get unique artist use unique function. and to get frequency use countif function. And sort them in descending order. now plot the bar. before we made with frequency now we make it with score. create a column score in merged data and use 101-rank function to get the scores. now create a google sheet as prolific-2. use artist and score columns. now use unique function to get the data of artists. for score use arrayfunction(). now sort the data and plot the bar

Wii U Games: A Comprehensive Sorted List

From AAA to Indie Games

About this dataset

This dataset includes a comprehensive list of all Wii U games, both physical copies and those available for download from the Nintendo eShop. The games are sorted by genre, developer, publisher, and release date, making it the perfect resource for gamers looking to find new and exciting titles for their collection. Whether you're a fan of AAA blockbusters or niche indie titles, this dataset has something for everyone. So check it out today and see what amazing games you might have been missing out on!

How to use the dataset

To use this dataset, simply choose the file you would like to download and open it in your preferred spreadsheet software. From there, you can sort the games by any of the given columns

Research Ideas

• This dataset can be used to find the most popular genres of Wii U games.
• This dataset can be used to find the most popular developers of Wii U games.
• This dataset can be used to find the most popular publishers of Wii U games

Acknowledgements

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: df_1.csv | Column name | Description | |:-------------------|:--------------------------------------------------------------| | Title | The name of the video game. (String) | | Genre | The genre of the video game. (String) | | Developer(s) | The developer(s) of the video game. (String) | | Publisher(s) | The publisher(s) of the video game. (String) | | Release date | The release date of the video game. (String) | | Release date.1 | The release date of the video game in North America. (String) | | Release date.2 | The release date of the video game in Europe. (String) | | Release date.3 | The release date of the video game in Japan. (String) | | Ref. | A reference to the source of the data. (String) |

File: df_4.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_3.csv

File: df_2.csv | Column name | Description | |:-------------------|:--------------------------------------------------------------| | Title | The name of the video game. (String) | | Genre | The genre of the video game. (String) | | Developer(s) | The developer(s) of the video game. (String) | | Publisher(s) | The publisher(s) of the video game. (String) | | Release date | The release date of the video game. (String) | | Release date.1 | The release date of the video game in North America. (String) | | Release date.2 | The release date of the video game in Europe. (String) | | Release date.3 | The release date of the video game in Japan. (String) | | Ref. | A reference to the source of the data. (String) |

File: df_6.csv

File: df_5.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

The information inside this table summarizes the total number of organisms sorted from the picked sample. The picked samples are sorted into three major taxon which are: amphipods, gastropods and bivalves. Each of of these taxon are preserved in their own vial as they await identification to the lowest possible taxa. The Date/Time_Sorting column represents the date and time when those sorted taxon vials are identified to the lowest possible taxa.

Sorted populations of reticulocytes and extruded nuclei were fractionated by 1D SDS-PAGE and subjected to Nano LC mass spectrometry. An abridged list containing key erythroid membrane proteins of interest is shown. Total peptide column is the total number of peptides (and therefore an indication of a particular protein’s abundance) detected in the population, whilst the unique peptide column indicates the number of unique peptides detected. To assess differences between nuclei and reticulocyte populations the total peptide number should be used.