(00:00) Introduction: The limitations of CSVs and the power of network graphs. (00:54) Importing Your CSV: Choosing the appropriate import method and selecting columns for analysis. (01:56) Defining Your Analysis Goals: Understanding the purpose of your analysis and selecting relevant columns for graphing. (02:56) Adding Filter Tags: Choosing columns to use as tags for filtering and exploring your data. (03:47) Exploring the Network Knowledge Graph: Understanding the layout, nodes, connections, and clusters. (04:43) Analyzing Key Themes and Topics: Using the text analytics panel to identify main ideas and underlying concepts. (06:43) Uncovering Blind Spots: Revealing structural gaps and potential areas for further exploration. (08:04) Importing Additional Data: Creating a second network graph based on a different column from the same CSV. (08:40) Comparing Datasets: Using the "intersects with" function to analyze the relationships between two graphs. (10:35) Building a Social Network Graph: Creating entities from rows and visualizing connections between individuals. (14:53) Advanced Text Analysis Settings: Choosing how to build the knowledge graph and creating entities from cells. (16:26) Exploring the Social Network Graph: Filtering by tags, identifying clusters, and uncovering potential connections. (19:09) Conclusion: Recap of key points and the importance of defining your analysis goals before importing data.
Glad to hear that about colors. Lots of people think the UX is too complex though. I'm really fighting to make it as clear as possible without losing the functionality.
a really useful walkthrough. Thank you. as you mention, so many side walk throughs for different things. your key point was asking your the question before you begin, what am I trying to get from this data? I really like your tag the whole cell as a single entity. brilliant. That's one of the poor things with word clouds where you can't easily tag two to three words together as the total reference. A quick question, do you have to keep uploading the data file each time you want to then create a graph for a column (which is how you do it in the vid), or can you upload the whole csv once, and then use filters to the create graphs for different columns you want to analyse?
If a CSV is about 2-3 Mb that's fine. If it's bigger you'll have a graph that's too dense, so it's better to separate the table into few more digestible parts.
(00:00) Introduction: The limitations of CSVs and the power of network graphs.
(00:54) Importing Your CSV: Choosing the appropriate import method and selecting columns for analysis.
(01:56) Defining Your Analysis Goals: Understanding the purpose of your analysis and selecting relevant columns for graphing.
(02:56) Adding Filter Tags: Choosing columns to use as tags for filtering and exploring your data.
(03:47) Exploring the Network Knowledge Graph: Understanding the layout, nodes, connections, and clusters.
(04:43) Analyzing Key Themes and Topics: Using the text analytics panel to identify main ideas and underlying concepts.
(06:43) Uncovering Blind Spots: Revealing structural gaps and potential areas for further exploration.
(08:04) Importing Additional Data: Creating a second network graph based on a different column from the same CSV.
(08:40) Comparing Datasets: Using the "intersects with" function to analyze the relationships between two graphs.
(10:35) Building a Social Network Graph: Creating entities from rows and visualizing connections between individuals.
(14:53) Advanced Text Analysis Settings: Choosing how to build the knowledge graph and creating entities from cells.
(16:26) Exploring the Social Network Graph: Filtering by tags, identifying clusters, and uncovering potential connections.
(19:09) Conclusion: Recap of key points and the importance of defining your analysis goals before importing data.
Really hats of to your UIX team especially in how they mixed the primary and accent color. Gives a very unique and “expensive” look to the software.
Glad to hear that about colors. Lots of people think the UX is too complex though. I'm really fighting to make it as clear as possible without losing the functionality.
Wow. This is definitely one of the coolest tools I’ve seen in this space! Fabulous concept. Brilliant execution. I intend to become a customer…
Thank you! Great to hear that!
underrated channel. thanks for sharing
a really useful walkthrough. Thank you. as you mention, so many side walk throughs for different things. your key point was asking your the question before you begin, what am I trying to get from this data? I really like your tag the whole cell as a single entity. brilliant. That's one of the poor things with word clouds where you can't easily tag two to three words together as the total reference.
A quick question, do you have to keep uploading the data file each time you want to then create a graph for a column (which is how you do it in the vid), or can you upload the whole csv once, and then use filters to the create graphs for different columns you want to analyse?
did u just reference Seinfeld (Vandalay Industries) and Batman (Wayne Enterprises) in the same sentence? :D
What’s the largest amount of data that can be included in a network graph on infra Nodus?
If a CSV is about 2-3 Mb that's fine. If it's bigger you'll have a graph that's too dense, so it's better to separate the table into few more digestible parts.
Thanks. 👍