Number recognition games 1 100

FREE Printable Counting Numbers to 100 Math Games

1st grade • 1st grade Math • FREE Printables • Hundreds Chart • Kindergarten • Kindergarten Math • Math

August 1, 2021

by Beth Gorden

Help kids master how to count 1-100 with these free printable counting to 100 games. Their are several handy, count to 100 game choices to use with pre-k, kindergarten, and first graders. These number recognition games 1-100 are grea for gaining mastery and fluency as children learn to count on. Simply print count to 100 games and you are ready to play and learn with an engaging counting to 100 activities.

Counting to 100 games

One of the earliest math successes for each of my kids has been when they can finally say, “I can count all the way to 100, all by myself!” There’s so much excitement, I just can’t tell them no when they beg to show me for the 23rd time that day. There’s just something thrilling for kids when they realize they can successfully count to such a large number. And then to find they can get there faster by skip counting? Genius! If your preschoolers, kindergartners, and grade 1 student still need some help mastering how to count to 100, you will love this set of low-prep counting to 100 games! These count to 100 games are perfect for preschoolers, kindergatners, and grade 1 students. Whether you are a parent, teacher, or homeschooler – you will love these numbers to 100 games to make practicing counting to one hundred FUN. Use this as summer learning, extra practice, math center in your classroom, or any other supplement to your homeschool math curriculum.

Number recognition games 1-100

Start by scrolling to the bottom of the post, under the terms of use, and click on the text link that says >> _____ <<. The pdf file will open in a new window for you to save the freebie template.

Counting to 100 activities

Obviously, these games focus on counting to 100. But this will also give kids in Preschool or Kindergarten practice with counting on (an important prerequisite to addition), number recognition.

And kids in First or Second Grade will love practicing skip counting by 5’s and 10’s.

Count to 100 game

I designed these games intentionally to be super easy, low-prep games. So all you have to do is print and go! You will only need a handful of other materials, then your kids can play and count all day long:

Game board of your choice (they are in black and white to save you on printing costs)
Crayons, colored pencils, markers, gel pens, etc (2 different colors)
Game pieces (from a board game, unifix cubes, beads, lego mini figures, mini erasers, etc.)
One die

Count to 100 games

This printable includes 3 different simple, black and white games to practice counting to 100 and practice skip counting to 100. The first counting to 100 games for kindergarten is for 2 players and is the most basic (for preschool or Kindergarten). This one page game requires a crayon for each player and a die. The next 2 games can be played with more players and are great for Kindergarten, First Grade or Second Grade. These focus on skip counting and require game pieces for each player and a die.

Counting to 100 activities for kindergarten

This game is very simple. The goal is to be the player who reaches 100 first. To get started, the first player rolls the die. They then color and count that many numbers on the hundreds chart (starting at 1). The next player then rolls a die and colors that many squares, counting on from where player one left off. For example, if player one rolled a three, they would count and color, “1, 2, 3.” Then if player two rolls a four, they start at four and count and color, “4, 5, 6, 7. ” Players continue to take turns in this way until one of them reaches 100. The first to get to 100 wins!

Counting games for kindergarten 1-100

The next two games require a little more of kids and provides less support. If your kids are struggling, have a hundreds chart out that they can use to see and help them skip count. This game is also really easy and straightforward. The goal is simply to be the first to make it to the finish and correctly skip count to 100! To begin, kids place their game pieces at start. The first player then rolls the die and moves that number of spaces. To stay on the space, they must skip count by 5 (or 10, depending on the game) up to the number they land on. For example, if they land on 25, they would count, “5, 10, 15, 20, 25.” If they count wrong, however, they have to go back to start (or their previous space).

The first player to reach the end and skip count to 100 wins!

Numbers to 100 games

Even though young kids need to practice and learn big mathematical concepts, it doesn’t mean they have to drill with flash cards and worksheets.

Hundreds Chart Games

Battleship Hundreds Chart Games – grab the free printable with instruction on how to play this fun game with a math twist
11+ Hands-on Hundreds Chart ACtivities with free printables
Counting using a Hundreds Skip Counting Chart
Roll to 100 Free Printable Math Game – Students roll the dice as they work on counting to 100.
Groundhog Day Worksheets Count to 100 – this is a SUPER clever activity to help kids with number recognition 1-100. Students will cut and paste squares to match numbers and reveal the picture
Low-Prep Counting to 100 Games – lots of choices to help kids practice counting to 100
Free Hundreds Chart Printable and Activity
Winter 100 Chart Color by Number
Christmas Math Worksheets – Color by Hundreds Chart
Easter Worksheet – Color by Hundreds Chart
St Patricks Day Math Color by Hundreds Chart
Valentines Day Math Color by Hundreds Chart
Thanksgiving Worksheets Color by Hundreds Chart
Back to School Worksheet Color by 100s Chart
4th of July Math Worksheets – Color by 100s Chart
The Very Hungry Caterpillar Worksheet Color by Hundreds Chart
Christmas Worksheet Hundreds Chart Coloring

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Pipe Cleaner constellation activitiy

Looking for more fun, creative ways you can begin your free homeschool? We have over 1,000,000 pages of FREE Printable Worksheets including resources for: pre k worksheets, kindergarten worksheets, 1st grade worksheets, 2nd grade worksheets, 3rd grade worksheets, 4th grade worksheets, 5th grade worksheets, 6th grade worksheets, and more. Plus see our history lessons for kids, hands-on countries for kids, printable math games, language arts worksheets, sight word worksheets, free alphabet printables, and cvc word activities for kids of all ages! And our hugely popular Pipe Cleaner constellation activities

Counting to 100 game

Before you grab your free pack you agree to the following:

This set is for personal and classroom use only.
This printable set may not be sold, hosted, reproduced, or stored on any other website or electronic retrieval system.
Graphics Purchased and used with permission
All material provided on this blog is copyright protected.

>> Free Count to 100 Games <<

About the author

Beth Gorden

Beth Gorden is the creative multi-tasking creator of 123 Homeschool 4 Me. As a busy homeschooling mother of six, she strives to create hands-on learning activities and worksheets that kids will love to make learning FUN! She has created over 1 million pages of printables to help teach kids ABCs, science, English grammar, history, math, and so much more! Beth is also the creator of 2 additional sites with even more educational activities and FREE printables - www.kindergartenworksheetsandgames.com and www.preschoolplayandlearn.com

Games for Kids on Counting to 100 Online

Getting your kids to count to 100 is one thing, and making them understand the value of each number is another. They must be able to practice counting through a series of fun activities and a well-strategized learning program that is designed for them to help them retain the concept and build a strong number sense quickly. Read on to know more.

Introduction

Counting is just not about knowing 1-100. It involves the ability to naturally understand how the progression works, the place value of each number and the symbols used to represent each number. For instance, if your kid can count to 100, but can’t differentiate between 7 and 1, it is still a futile process.

They should also be able to know that six is written as 6 and nine as 9. But this should happen naturally. In this blog, you will learn about making this learning process fun and engaging for your little one.

Help your Kid Count Better

There are many interactive Games online such as Finding the missing number on the number chart, that would help your kid practice counting in different ways without making it monotonous and overwhelming.

Here is a list of numerous games to teach your young mathematician to count in an enjoyable way.

Sky Lands: It helps the small monster cross the void between two mountains using numbered floating blocks. This would help them remember the number sequence easily.
Count On A Number Line: This interactive game is about finding the missing number on the number line.
Connect The Blocks: Here, the kid would have to connect the numbered blocks in the forward counting sequence to form a pattern.
Complete The Sequence: Let your kids learn counting forward through this interactive online game that allows them to pick the correct numbers from the options and drag them to their appropriate places to form a number series.

Hurdles in Learning to Count till 100

Good that you have this question in mind! There are a host of things that can confuse your kid during the initial stages of learning to count to 100. For instance,

They might have initial glitches in recognizing similar-looking or sounding numbers. For example, thirteen can become thirty, 7 can be misplaced with a 1, 9 with 6 and so on.
They would also get caught up on the 9’s and struggle to get on with the following number. The next number after 29, 39, 49 and so on can be confusing for them.

Scroll down to know how you can support your kid in mastering the art of counting.

Get Your Kid Excited About Math

As a parent, you can help your kid with flashcard games that can help them recognize the numbers with ease. Make number flashcards and make your kid pick up as many objects as the number of your flashcard.

Furthermore, you can also dance with your kid to the tune of any popular counting rhymes to get acquainted with the counting sequence. You can also trace numbers on their back and let them guess the numbers.

If your kid is getting caught up between 6 and 9, teach him/her that 6 stands on its head while nine stands on its feet!

Play counting games with them regularly. Help them practice the concepts through well-strategized, online educational counting games such as SplashLearn to make it a more engaging and fun-filled learning process.

In Conclusion

Counting 1-100 is a critical aspect of mathematics and needs to be dealt with special care and focus. Splashlearn games are an effective means to reiterate the concept and ensure maximum retention in a fun way. They help you engage your kids for a longer time and practice counting for a longer duration of time without losing focus.

The interactive and engaging counting games on SplashLearn would acquaint them with number sense and make the learning personalized for primary grade children.

We would love to hear from you. Do try out our games and give us your suggestions on making it better for your kid. Write to us at [email protected] with your feedback and comments.

Try SplashLearn for Free

Advanced Minesweeper Tactics / Sudo Null IT News

In this position, I know that there are a lot of mines around me, but I can't determine where they are. Several mines can be in one of two places (pink or blue), a group of mines can be in one of two combinations (light/dark green). In addition, there is also a complicated situation with "5" and "6" in the upper left corner, which I did not highlight in any way.

Blue/pink - mutually exclusive pairs, light/dark green - mutually exclusive groups

Minesweeper: logic or probability

Minesweeper can be played in two ways: as a logic or probability game.

Technically, probability implies logic. If you can logically prove that the mine must be in a certain place, then the probability is 100%. If you can prove that it is not in this place, then the probability is 0%. That is, in a sense, only probabilities matter to us. However, the player uses logical deduction to recognize such 100% situations. Sometimes, especially at low difficulty levels, it is enough to pass the level, no calculation of probabilities is required.

But there are times when all the logic of the world cannot save you. A simple example is the situation with "T", which is visible at the bottom center. It is slightly complicated by additional adjacent mines. (In the simplest case, "2" is replaced by "1" and "5" by "3" to make the situation symmetrical. )

There is no any way to get more information about the probable position of one mine left in one of these cells. Fifty-fifty chances - you can toss a coin. When you get something like this, it’s better to make a choice right away and not put it off until later. If the guess is wrong, then at least you save time on solving the rest of the field. (But I personally strive for finality, so I leave such cases for later. And don't blame yourself for not guessing right. When winning or losing depends on a coin toss, it's bad game design.)

Tactics at the end of the game

In the endgame, you can use a very simple tactic - count the number of remaining mines. Let's say I've solved everything but the bottom right of the field. There can be only two configurations of mines corresponding to the data:

Possible configurations of mines in the lower right corner

If you get this position and the counter says that there are only two mines left, then the answer is ready: it should be configuration B .

If the counter says that there are three mines left, then this is not necessarily the configuration A . This could be B with the remaining mine in one of the lower right 3x3 cell groups.

In fact, the odds are in favor of configuration B .

Local probabilities

If you examine the probabilities only "locally", you see that each of the cells in the marked mutually exclusive groups has a 50-50 chance of being a mine. When I say “locally”, I mean that if two unknown cells have a “1” next to them, then the probability of each of them having a hidden mine is 50%.

This is exactly the situation at the bottom center: each of the neighboring cells adjacent to the unknown pair contains exactly one mine, that is, each of the neighboring data fragments assumes a 50 percent probability. In the upper left corner, there is a similar situation:

With absolute accuracy, there is one mine in each of the pink ovals, that is, there are only 7 mines left

The situation in the lower right corner is also somewhat similar: next to each of the numbers on "border" has one mine and two cells in which it can be.

If there is one hidden mine next to the cell, but three cells are closed, then the probability of a mine in each of the cells is 33%; each of the four closed cells has a probability of 25%. If we have two hidden mines and three closed cells, then each cell has a probability of 66%.

Here is the "local probability" situation for the entire field:

As you can see, several cells in the upper left area have several probabilities; closed cell next to "2" and "6" and one next to "3" and "5". (The box next to "5" and "6" still has a 66% chance thanks to them, so there's no apparent discrepancy.)

Local probability conflict resolution

You are probably wondering what it means to have conflicting local probabilities. Intuition may tell that the highest probability is to win. For example, the cell between "6" and "2" should actually have 66%. This will mean that the leftmost cell with a probability of 50% actually has 33%. Or you can try to somehow combine priorities: perhaps the probability will be 5/6 or the average value.

But none of this is actually true. The data from which the probabilities are derived, not , are independent of each other, so no straight-line mathematical calculations will be correct. The reason the local 50% guess at the bottom center is correct is because it's really independent of anything else. If we randomly recreate the field according to the data we already have, then in exactly half of the models the mine will be in one of the two cells. (Probability sometimes confuses people who cannot figure out which rules for calculating probabilities apply in a particular situation. This approach is guaranteed to be the right way, because it is based on the definition of probability in statistical forecasting: the calculation is performed by measuring in all possible configurations that could lead to to the current situation, while all of them are considered equally likely. )

That is, for correct measurements in the situation in the upper left corner, you need to consider all possible configurations of mines that satisfy the data already collected, and then calculate what percentage of them contains a mine in the desired position.

Direct calculation would take a long time. Fortunately, there are other ways.

Configuration count

An abstract way to calculate probabilities is to go through all possible mine configurations, discard configurations that do not match the collected data, and calculate statistics for each of the possible positions.

A more practical approach is to consider only those options that cannot be discarded. To do this, we need to apply logic and generate all possible situations that can match the available data. I have already shown two options for the lower right corner, and here are the probabilities for the upper left:

Possible configurations for the upper left corner

from the cells. I could list each of these two cases separately, that is, there would be 10 configurations, but this is of no use to us. Table structure: two rows (numbered as "1" and "2") differ in the position of the mine in row 4. Three columns are characterized by the position of mines in the second row.)

Now it's tempting to exclaim, "yeah, here are five cases, so we can count the number of cases for each of the possible mine positions." For example, a mine located in the fourth row (next to the bottom left "1") is on the left in the top two cases, and on the right in the bottom three cases. Therefore, we can decide that it has a 60% chance of being on the right, next to "6". (This is a position with conflicting local probabilities of 50% and 66%.)

However, we miss one subtlety - the number of mines in some cases is different: in A1 six minutes, B2 four, and five in all other cases.

Counting mines not found

For a detailed study of this subtlety, let's return to the simpler situation in the lower right corner.

Possible bottom right corner configurations

Let's assume that I have already opened the rest of the field and know that there are exactly three mines left.

It is tempting to assume that the most likely configuration is A with exactly three mines. But this is not true.

Another temptation is to remember how many mines there were and how many squares there were, and say "what are the chances that the bottom 3x3 area will be empty". This is also incorrect. It is very difficult to explain why this is a mistake, perhaps it can be compared with the Monty Hall paradox. However, suffice it to say that in reality the odds in this situation do not depend on the total number of mines and the size of the field.

The correct answer is: how many possible configurations of the three mines fit our knowledge of the field? From the figure we can see that two: configurations A and B . But there are only two mines in B . The third mine could be in any of the cells in the bottom 3x3 area, for which we haven't collected any data yet. That is, in total there are nine configuration options B , I just did not depict them all.

There are therefore a total of ten possible configurations. Each of the ten configurations is equiprobable. (As I mentioned earlier, this is critical to understanding probability. The chances that the computer generated any of these options are small, but they are equally small because the computer [as far as we know] gave each configuration equal chances. You have probability equal to that you can roll a configuration of ten heads in a row and the sequence two heads, one tail, one head, three heads, one head, one tail, and one " eagle" . It is more likely to throw a total of five heads and five tails, but not any specific sequence of heads and tails. In Minesweeper we are dealing with 90,003 configurations of 90,004 mines, which are like sequences of coin tosses. )

Since each of the ten configurations (nine for B , one for A ) is equally likely, the configuration B in this case has a probability of 90%!

If there were four mines at this stage, configuration A would have nine options. Configuration B would have one option for each option for the location of two mines in the lower left corner; this is C (9,2) , which is 9!/((9-2)! * 2!) or 9*8/2 equals 36. In this case, the configuration is B would only have a 75% chance.

With five mines configuration A would have 36 options and configuration B would have 9*8*7/6 = 84 options; that is, the chances of B would be just over 66%.

In the case of six mines B would have a probability of 60%. With seven mines, B would only have 50%. With eight mines B would be less likely than A; in this case, with so many mines in the remaining positions, the configurations become smaller. Let's consider the worst case, when there are 11 minutes left. (The chance of this occurring is extremely small, but if such a situation occurs, then these probabilities apply.) In configuration B , there will be mines in all closed cells, in configuration A in all but one. That is, there are 9 options for A and only one for B.

Final decision

There are nine mines left on our field. One of them is in the central lower area, and its position is completely independent, so you can ignore it. That is, we consider the entire field, except for this case: only eight mines were not found. (To avoid confusion, I will continue to explicitly count the oval in the upper left corner, because this is the image of the upper left corner.)0005
Any combination of upper left and lower right configurations can be formed, with the exception of one of them (A1 + A), which requires nine minutes. Therefore, we must list each of these possible configurations and count the remaining mines and closed cells.

In fact, the number of closed cells is independent: there are nine in the lower right corner and three in the upper left, that is, a total of 12.

Top left Bottom right Number of mins Remaining min Closed variants

A1 B 8 0 1

B1 A 8 0 1

B1 B 7 1 12

A2 A 8 0 1

A2 B 7 1 12

B2 A 7 1 12

B2 B 6 2 66

C2 A 8 0 1

C2 B 7 1 12

Thus, there are 118 possible combinations in total. Based on this, we can independently calculate the number of combinations for each of the upper left and lower right configurations:

Configuration Options Percentage

A1 1 1

B1 13 11

A2 13 11

B2 78 66

C2 13 11

A 15 13

B 103 87

Next, I went over each square on the board and calculated its probability by summing up the number of probabilities in which it appears and dividing by 118. (Actually, just adding the above percentages.) Also, on average, each of the closed cells has a mine in 15 out of 118 options (that is, the chances that at least one closed cell has a mine are very high). [This can be calculated by multiplying the number of mines remaining by the closed options, which gives us the average number of mines in closed cells.]

Probabilities of having a mine

(It should be said that this does not show all available information. For example, we know that the probabilities of two dark green cells are 87% related - if one is true, then the other is too. And blue The 13% cells that have mines in the configuration A are also connected.The remaining blue 13% cells are not connected.If one of them has a mine, the probability that any of the remaining ones has a mine decreases.)

Playing a game

Most likely, when playing Minesweeper, you do not want to pore over all these calculations.

Me too.

But I really listed all possible configurations in the upper left and lower right corners. I noticed that one configuration ( B2-B ) used one less mine than all the others, and applied the time-tested rule "fewer mines means more closed options" (which works approximately as long as the number of closed cells is less than twice the number of mines not found). This means that configurations with fewer mines are much more likely.

Since there were many configurations in the upper left corner, determining the odds for any cell is quite difficult. So I just figured out that the configuration B in the lower right is much more likely, and randomly chose one of the matching cells. (I was hoping it would allow me to finish the bottom right corner, and then, armed with more information about the number of mines left, I could complete the top left corner, after which I would have to toss a coin to select bottom center. Ideally, of course, I would have chosen the cell maximizing the probability of obtaining useful information, but any of these guesses would allow me to "enter" the lower right corner for further data collection.) The chances were higher for configuration B , so I chose the cell that had a mine in configuration A .

Eight times out of nine I would be right.

52 datasets for training projects / Habr

rishat_edison 16 December 2019 at 16:18

Edison Python Blog *Programming *Machine Learning *Learning in IT

Translation

Original author: Data Flair team

Mall Customers Dataset — store visitor data: id, gender, age, income, spending rating. ( Application Case: Customer Segmentation Project with Machine Learning )

Iris Dataset - A dataset for beginners containing sepal and petal sizes for various flowers.

MNIST Dataset - dataset of handwritten digits. 60,000 training images and 10,000 test images.

The Boston Housing Dataset is a popular pattern recognition dataset. Contains information about houses in Boston: the number of apartments, the cost of rent, the crime index.

Fake News Detection Dataset - contains 7796 entries with news markup: true or false. ( Use case with Python source: Fake News Detection Python Project )

Wine quality dataset - contains information about wine: 4898 records with 14 parameters.

SOCR data - Heights and Weights Dataset is a good place to start. Contains 25,000 height and weight records for 18 year olds.

The article was translated with the support of EDISON Software, which fulfills orders from South China "perfectly well", and also develops web applications and websites.

Parkinson Dataset - 195 records of patients with Parkinson's disease, with 25 test parameters. It can be used for a preliminary assessment of the difference between sick people and healthy people. ( Use case with Python source: Machine Learning Project on Detecting Parkinson's Disease )

Titanic Dataset - contains information about passengers (age, gender, relatives on board, etc.) 891 in the training set and 418 in the test.

Uber Pickups Dataset - Information on 4.5 million Uber rides in 2014 and 14 million in 2015. ( Use case with R source: Uber Data Analysis Project in R )

Chars74k Dataset - contains images of British and Canadian characters of 64 classes: 0-9, A-Z, a-z. 7700 7.7k natural images, 3400k handwritten, 62000 computer-synthesized fonts.

Credit Card Fraud Detection Dataset - contains information about transactions of compromised credit cards. ( Use case with source: Credit Card Fraud Detection Machine Learning Project )

Chatbot Intents Dataset is a JSON file that contains various tags: greetings, goodbye, hospital_search, pharmacy_search, and so on. Contains a set of question and answer templates. ( Use case with Python source: Chatbot Project in Python )

Enron Email Dataset - Contains half a million emails from 150 Enron managers.

The Yelp Dataset - contains 1.2 million recommendations from 1.6 million users for 1.2 million organizations.

Jeopardy Dataset - Over 200,000 Q&A entries from the popular TV game.

Recommender Systems Dataset is a portal with a collection of datasets from UCSD University. Contains reviews on popular sites (Goodreads, Amazon). Great for building recommender systems. ( Use case with R source: Movie Recommendation System Project in R )

UCI Spambase Dataset - training dataset for spam detection. Contains 4601 emails with 57 metadata options.

Flickr 30k Dataset - Over 30,000 images and captions. (Flickr 8k Dataset - 8000 images. Python source project: Image Caption Generator Python Project)

IMDB reviews — 25,000 movie reviews in the training set and 25,000 in the test set. ( Application case with R source: Sentiment Analysis Data Science Project )

MS COCO dataset - 1.5 million labeled images.

CIFAR-10 and CIFAR-100 dataset — CIFAR-10 contains 60,000 small images 32*32 pixels digits 0-9. CIFAR-100 - respectively, 0-100.

GTSRB (German traffic sign recognition benchmark) Dataset - 50,000 images of 43 traffic signs. ( Python Source Use Case: Traffic Signs Recognition Python Project )

ImageNet dataset - Contains over 100,000 phrases and approximately 1,000 images per phrase.

Breast Histopathology Images Dataset - This dataset contains images of breast cancer specimens. ( Use case with source on Breast Cancer Classification Python Project )

Cityscapes Dataset - contains high-quality annotations of video sequences of streets of different cities.

Kinetics Dataset - Contains a URL to approximately 6.5 million high quality videos.

MPII human pose dataset — dataset contains 25,000 images of human poses annotated by joints.

20BN-something-something dataset v2 - A set of high quality videos that show how a person performs some action.

Object 365 Dataset - High quality image dataset with object bounding boxes.

Photo sketching dataset - Contains over 1000 images with their outline drawings.

CQ500 Dataset - Dataset contains 491 head CT scans with 193,317 slices.

IMDB-Wiki dataset — dataset with more than 5 million face images marked by gender and age. ( Use case with source on Gender & Age Detection Python Project )

Youtube 8M Dataset is a labeled video dataset that contains 6.1 million Youtube video IDs

Urban Sound 8K dataset - urban sound dataset (contains 8732 urban sounds from 10 classes).

LSUN Dataset - Dataset of millions of color images of scenes and objects (about 59 million images, 10 different scene categories and 20 different object categories).

RAVDESS Dataset is an audiovisual database of emotional speech. ( Use case with source on Speech Emotion Recognition Python Project )

Librispeech Dataset - dataset contains 1000 hours of English speech with different accents.

Baidu Apolloscape Dataset is a dataset for the development of self-driving technology.

Quandl Data Portal - a repository of economic and financial data (there is free and paid content).

The World Bank Open Data Portal - information on loans issued by the World Bank to developing countries.

IMF Data Portal is an International Monetary Fund portal that publishes data on international finance, debt rates, investments, foreign exchange reserves, and commodities.

American Economic Association (AEA) Data Portal is a resource for finding US macroeconomic data.

Google Trends Data Portal - Google Trends data can be used for visual exploration and data analysis.

Financial Times Market Data Portal - a resource for up-to-date information on financial markets from around the world.

Data.gov Portal - US government open data portal (agriculture, health, climate, education, energy, finance, science and research, etc.).

Data Portal: Open government data (India) is India's open government data platform.

Food environment Atlas Data Portal - Contains data from US nutrition research.

Health Data Portal is a US Department of Health and Human Services portal.

Centers for Disease Control and Prevention Data Portal - Contains a wide range of health-related data.
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