4 datasets found
  1. Top Instagram Influencers Data (Cleaned)

    • kaggle.com
    zip
    Updated Aug 13, 2022
    + more versions
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    SJ (2022). Top Instagram Influencers Data (Cleaned) [Dataset]. https://www.kaggle.com/datasets/surajjha101/top-instagram-influencers-data-cleaned/code
    Explore at:
    zip(6035 bytes)Available download formats
    Dataset updated
    Aug 13, 2022
    Authors
    SJ
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Instagram is an American photo and video sharing social networking service founded in 2010 by Kevin Systrom and Mike Krieger, and later acquired by Facebook Inc.. The app allows users to upload media that can be edited with filters and organized by hashtags and geographical tagging. Posts can be shared publicly or with preapproved followers. Users can browse other users' content by tag and location, view trending content, like photos, and follow other users to add their content to a personal feed.

    Instagram network is very much used to influence people (the users followers) in a particular way for a specific issue - which can impact the order in some ways.

  2. Top Instagram Accounts Data (Cleaned)

    • kaggle.com
    zip
    Updated Feb 24, 2023
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    Muhammad Faisal Ali (2023). Top Instagram Accounts Data (Cleaned) [Dataset]. https://www.kaggle.com/faisaljanjua0555/top-200-most-followed-instagram-accounts-2023
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    zip(4781 bytes)Available download formats
    Dataset updated
    Feb 24, 2023
    Authors
    Muhammad Faisal Ali
    Description

    The Top Instagram Accounts Dataset is a collection of 200 rows of data that provides valuable insights into the most popular Instagram accounts across different categories. The dataset contains several columns that provide comprehensive information on each account's performance, engagement rate, and audience size.

    1. The "rank": column lists the accounts in order of their popularity on Instagram, starting from the most followed account.

    2. The "name": column displays the Instagram handle of the account, which can be used to locate and follow the account on Instagram.

    3. The "channel_info": column provides a brief description of the account, such as the type of content it features or the products and services it offers.

    4. The "Category": column categorizes the account based on its primary theme or subject matter, such as fashion, sports, entertainment, or food.

    5. The "posts": column displays the total number of posts on the account. This column helps to understand the account's level of activity and the amount of content it has produced over time.

    6. The "followers": column indicates the number of people who follow the account on Instagram.

    7. The "avg likes": column displays the average number of likes that the account's posts receive per post.

    8. The "eng rate": column calculates the account's engagement rate by dividing the total number of likes and comments received by the total number of followers, expressed as a percentage.

    How you can use this Dataset?

    The Top Instagram Accounts Dataset can be used in a variety of ways to gain insights into the performance and engagement levels of popular Instagram accounts. Here are a few examples of what you can do with this dataset:

    1. Conduct category analysis: The dataset provides information on the category of each Instagram account. You can use this information to conduct a category analysis and identify the most popular categories on Instagram.

    2. Identify top influencers: The dataset ranks Instagram accounts based on their follower count. You can use this information to identify the top influencers in different categories and use them for influencer marketing campaigns.

    3. Analyze engagement levels: The dataset includes columns such as "avg likes" and "eng rate" that provide insights into the engagement levels of Instagram accounts. You can use this information to understand what type of content resonates with Instagram users and create more engaging content for your own account.

  3. Top 1000 instagrammers - world (cleaned)

    • kaggle.com
    zip
    Updated Jul 12, 2022
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    Syed Jafer (2022). Top 1000 instagrammers - world (cleaned) [Dataset]. https://www.kaggle.com/datasets/syedjaferk/top-1000-instagrammers-world-cleaned/discussion
    Explore at:
    zip(22002 bytes)Available download formats
    Dataset updated
    Jul 12, 2022
    Authors
    Syed Jafer
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    Instagram[a] is a photo and video sharing social networking service founded in 2010 by Kevin Systrom and Mike Krieger, and later acquired by American company Facebook Inc. The app allows users to upload media that can be edited with filters and organized by hashtags and geographical tagging. Posts can be shared publicly or with preapproved followers. Users can browse other users' content by tag and location, view trending content, like photos, and follow other users to add their content to a personal feed.

    Instagram was originally distinguished by allowing content to be framed only in a square (1:1) aspect ratio of 640 pixels to match the display width of the iPhone at the time. In 2015, this restrictions was eased with an increase to 1080 pixels. It also added messaging features, the ability to include multiple images or videos in a single post, and a Stories feature—similar to its main competitor Snapchat—which allowed users to post their content to a sequential feed, with each post accessible to others for 24 hours. As of January 2019, Stories is used by 500 million people daily.

    This dataset comprises of the details of top 1000 influencers in instagram

  4. Top 100 Instagram Influencers Dashboard

    • kaggle.com
    zip
    Updated May 3, 2024
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    BiniamA4 (2024). Top 100 Instagram Influencers Dashboard [Dataset]. https://www.kaggle.com/datasets/biniama4/top-100-instagram-influencers-dashboard
    Explore at:
    zip(119161 bytes)Available download formats
    Dataset updated
    May 3, 2024
    Authors
    BiniamA4
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This is a Data analysis Project. I used Excel to clean up the messy raw data about the "Top 100 Instagram Influencers" and turn it into a neat, easy-to-read table. Then, I dove into the data on the Top 100 Instagram influencers, using Excel to uncover interesting insights about which countries were leading in terms of engagement and reach. I made sense of it all by setting up Pivot tables to connect the dots and bring together the most important information. To make sure everyone could understand the findings, I got creative and visualized the data, creating a dynamic dashboard that made it easy to see what was going on at a glance.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
SJ (2022). Top Instagram Influencers Data (Cleaned) [Dataset]. https://www.kaggle.com/datasets/surajjha101/top-instagram-influencers-data-cleaned/code
Organization logo

Top Instagram Influencers Data (Cleaned)

Analyzing data of top Instagram influencers

Explore at:
zip(6035 bytes)Available download formats
Dataset updated
Aug 13, 2022
Authors
SJ
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

Instagram is an American photo and video sharing social networking service founded in 2010 by Kevin Systrom and Mike Krieger, and later acquired by Facebook Inc.. The app allows users to upload media that can be edited with filters and organized by hashtags and geographical tagging. Posts can be shared publicly or with preapproved followers. Users can browse other users' content by tag and location, view trending content, like photos, and follow other users to add their content to a personal feed.

Instagram network is very much used to influence people (the users followers) in a particular way for a specific issue - which can impact the order in some ways.

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